Volkan Cevher

According to our database, Volkan Cevher authored at least 293 papers between 2001 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

A unified stochastic approximation framework for learning in games.

Panayotis Mertikopoulos, Ya-Ping Hsieh, Volkan Cevher

Math. Program., January, 2024

Robust NAS under adversarial training: benchmark, theory, and beyond.

Yongtao Wu, Fanghui Liu, Carl-Johann Simon-Gabriel, Grigorios G. Chrysos, Volkan Cevher

CoRR, 2024

Generalization of Scaled Deep ResNets in the Mean-Field Regime.

Yihang Chen, Fanghui Liu, Yiping Lu, Grigorios G. Chrysos, Volkan Cevher

CoRR, 2024

Extreme Miscalibration and the Illusion of Adversarial Robustness.

Vyas Raina, Samson Tan, Volkan Cevher, Aditya Rawal, Sheng Zha, George Karypis

CoRR, 2024

Truly No-Regret Learning in Constrained MDPs.

Adrian Müller, Pragnya Alatur, Volkan Cevher, Giorgia Ramponi, Niao He

CoRR, 2024

Leveraging the Context through Multi-Round Interactions for Jailbreaking Attacks.

Yixin Cheng, Markos Georgopoulos, Volkan Cevher, Grigorios G. Chrysos

CoRR, 2024

Multilinear Operator Networks.

Yixin Cheng, Grigorios G. Chrysos, Markos Georgopoulos, Volkan Cevher

CoRR, 2024

Efficient local linearity regularization to overcome catastrophic overfitting.

Elías Abad-Rocamora, Fanghui Liu, Grigorios G. Chrysos, Pablo M. Olmos, Volkan Cevher

CoRR, 2024

Polynomial Convergence of Bandit No-Regret Dynamics in Congestion Games.

Leello Tadesse Dadi, Ioannis Panageas, Stratis Skoulakis, Luca Viano, Volkan Cevher

CoRR, 2024

MADA: Meta-Adaptive Optimizers through hyper-gradient Descent.

Kaan Ozkara, Can Karakus, Parameswaran Raman, Mingyi Hong, Shoham Sabach, Branislav Kveton, Volkan Cevher

CoRR, 2024

Krylov Cubic Regularized Newton: A Subspace Second-Order Method with Dimension-Free Convergence Rate.

Ruichen Jiang, Parameswaran Raman, Shoham Sabach, Aryan Mokhtari, Mingyi Hong, Volkan Cevher

CoRR, 2024

2023

Revisiting adversarial training for the worst-performing class.

Thomas Pethick, Grigorios Chrysos, Volkan Cevher

Trans. Mach. Learn. Res., 2023

Adversarial Training Should Be Cast as a Non-Zero-Sum Game.

Alexander Robey, Fabian Latorre, George J. Pappas, Hamed Hassani, Volkan Cevher

CoRR, 2023

Federated Learning under Covariate Shifts with Generalization Guarantees.

Ali Ramezani-Kebrya, Fanghui Liu, Thomas Pethick, Grigorios Chrysos, Volkan Cevher

CoRR, 2023

Provable benefits of general coverage conditions in efficient online RL with function approximation.

Fanghui Liu, Luca Viano, Volkan Cevher

CoRR, 2023

Min-Max Optimization Made Simple: Approximating the Proximal Point Method via Contraction Maps.

Volkan Cevher, Georgios Piliouras, Ryann Sim, Stratis Skoulakis

Proceedings of the 2023 Symposium on Simplicity in Algorithms, 2023

Sample Complexity Bounds for Score-Matching: Causal Discovery and Generative Modeling.

Zhenyu Zhu, Francesco Locatello, Volkan Cevher

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

On the Convergence of Encoder-only Shallow Transformers.

Yongtao Wu, Fanghui Liu, Grigorios Chrysos, Volkan Cevher

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Stable Nonconvex-Nonconcave Training via Linear Interpolation.

Thomas Pethick, Wanyun Xie, Volkan Cevher

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Exponential Lower Bounds for Fictitious Play in Potential Games.

Ioannis Panageas, Nikolas Patris, Stratis Skoulakis, Volkan Cevher

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Efficient Online Clustering with Moving Costs.

Dimitrios Christou, Stratis Skoulakis, Volkan Cevher

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Alternation makes the adversary weaker in two-player games.

Volkan Cevher, Ashok Cutkosky, Ali Kavis, Georgios Piliouras, Stratis Skoulakis, Luca Viano

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Maximum Independent Set: Self-Training through Dynamic Programming.

Lorenzo Brusca, Lars C. P. M. Quaedvlieg, Stratis Skoulakis, Grigorios Chrysos, Volkan Cevher

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Initialization Matters: Privacy-Utility Analysis of Overparameterized Neural Networks.

Jiayuan Ye, Zhenyu Zhu, Fanghui Liu, Reza Shokri, Volkan Cevher

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Benign Overfitting in Deep Neural Networks under Lazy Training.

Zhenyu Zhu, Fanghui Liu, Grigorios Chrysos, Francesco Locatello, Volkan Cevher

Proceedings of the International Conference on Machine Learning, 2023

When do Minimax-fair Learning and Empirical Risk Minimization Coincide?

Harvineet Singh, Matthäus Kleindessner, Volkan Cevher, Rumi Chunara, Chris Russell

Proceedings of the International Conference on Machine Learning, 2023

Semi Bandit dynamics in Congestion Games: Convergence to Nash Equilibrium and No-Regret Guarantees.

Ioannis Panageas, Stratis Skoulakis, Luca Viano, Xiao Wang, Volkan Cevher

Proceedings of the International Conference on Machine Learning, 2023

What can online reinforcement learning with function approximation benefit from general coverage conditions?

Fanghui Liu, Luca Viano, Volkan Cevher

Proceedings of the International Conference on Machine Learning, 2023

DiGress: Discrete Denoising diffusion for graph generation.

Clément Vignac, Igor Krawczuk, Antoine Siraudin, Bohan Wang, Volkan Cevher, Pascal Frossard

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Distributed Extra-gradient with Optimal Complexity and Communication Guarantees.

Ali Ramezani-Kebrya, Kimon Antonakopoulos, Igor Krawczuk, Justin Deschenaux, Volkan Cevher

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Solving stochastic weak Minty variational inequalities without increasing batch size.

Thomas Pethick, Olivier Fercoq, Puya Latafat, Panagiotis Patrinos, Volkan Cevher

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Finding Actual Descent Directions for Adversarial Training.

Fabian Latorre, Igor Krawczuk, Leello Tadesse Dadi, Thomas Pethick, Volkan Cevher

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Regularization of polynomial networks for image recognition.

Grigorios G. Chrysos, Bohan Wang, Jiankang Deng, Volkan Cevher

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Evaluating the Fairness of Discriminative Foundation Models in Computer Vision.

Junaid Ali, Matthäus Kleindessner, Florian Wenzel, Kailash Budhathoki, Volkan Cevher, Chris Russell

Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 2023

2022

On the Convergence of Stochastic Primal-Dual Hybrid Gradient.

Ahmet Alacaoglu, Olivier Fercoq, Volkan Cevher

SIAM J. Optim., 2022

A 16-Channel Neural Recording System-on-Chip With CHT Feature Extraction Processor in 65-nm CMOS.

Arda Uran, Kerim Türe, Cosimo Aprile, Alix Trouillet, Florian Fallegger, Emilie C. M. Revol, Azita Emami, Stéphanie P. Lacour, Catherine Dehollain, Yusuf Leblebici, Volkan Cevher

IEEE J. Solid State Circuits, 2022

A Newton Frank-Wolfe method for constrained self-concordant minimization.

Deyi Liu, Volkan Cevher, Quoc Tran-Dinh

J. Glob. Optim., 2022

Understanding Deep Neural Function Approximation in Reinforcement Learning via ε-Greedy Exploration.

Fanghui Liu, Luca Viano, Volkan Cevher

CoRR, 2022

Adversarial Audio Synthesis with Complex-valued Polynomial Networks.

Yongtao Wu, Grigorios G. Chrysos, Volkan Cevher

CoRR, 2022

Learning in games from a stochastic approximation viewpoint.

Panayotis Mertikopoulos, Ya-Ping Hsieh, Volkan Cevher

CoRR, 2022

On the Complexity of a Practical Primal-Dual Coordinate Method.

Ahmet Alacaoglu, Volkan Cevher, Stephen J. Wright

CoRR, 2022

Robustness in deep learning: The good (width), the bad (depth), and the ugly (initialization).

Zhenyu Zhu, Fanghui Liu, Grigorios Chrysos, Volkan Cevher

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Generalization Properties of NAS under Activation and Skip Connection Search.

Zhenyu Zhu, Fanghui Liu, Grigorios Chrysos, Volkan Cevher

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Extrapolation and Spectral Bias of Neural Nets with Hadamard Product: a Polynomial Net Study.

Yongtao Wu, Zhenyu Zhu, Fanghui Liu, Grigorios Chrysos, Volkan Cevher

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Proximal Point Imitation Learning.

Luca Viano, Angeliki Kamoutsi, Gergely Neu, Igor Krawczuk, Volkan Cevher

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Identifiability and generalizability from multiple experts in Inverse Reinforcement Learning.

Paul Rolland, Luca Viano, Norman Schürhoff, Boris Nikolov, Volkan Cevher

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Adaptive Stochastic Variance Reduction for Non-convex Finite-Sum Minimization.

Ali Kavis, Stratis Skoulakis, Kimon Antonakopoulos, Leello Tadesse Dadi, Volkan Cevher

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

No-regret learning in games with noisy feedback: Faster rates and adaptivity via learning rate separation.

Yu-Guan Hsieh, Kimon Antonakopoulos, Volkan Cevher, Panayotis Mertikopoulos

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Extra-Newton: A First Approach to Noise-Adaptive Accelerated Second-Order Methods.

Kimon Antonakopoulos, Ali Kavis, Volkan Cevher

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Sound and Complete Verification of Polynomial Networks.

Elías Abad-Rocamora, Mehmet Fatih Sahin, Fanghui Liu, Grigorios Chrysos, Volkan Cevher

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Understanding Deep Neural Function Approximation in Reinforcement Learning via $\epsilon$-Greedy Exploration.

Fanghui Liu, Luca Viano, Volkan Cevher

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

On the Double Descent of Random Features Models Trained with SGD.

Fanghui Liu, Johan A. K. Suykens, Volkan Cevher

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Score Matching Enables Causal Discovery of Nonlinear Additive Noise Models.

Paul Rolland, Volkan Cevher, Matthäus Kleindessner, Chris Russell, Dominik Janzing, Bernhard Schölkopf, Francesco Locatello

Proceedings of the International Conference on Machine Learning, 2022

UnderGrad: A Universal Black-Box Optimization Method with Almost Dimension-Free Convergence Rate Guarantees.

Kimon Antonakopoulos, Dong Quan Vu, Volkan Cevher, Kfir Y. Levy, Panayotis Mertikopoulos

Proceedings of the International Conference on Machine Learning, 2022

A Natural Actor-Critic Framework for Zero-Sum Markov Games.

Ahmet Alacaoglu, Luca Viano, Niao He, Volkan Cevher

Proceedings of the International Conference on Machine Learning, 2022

Controlling the Complexity and Lipschitz Constant improves Polynomial Nets.

Zhenyu Zhu, Fabian Latorre, Grigorios Chrysos, Volkan Cevher

Proceedings of the Tenth International Conference on Learning Representations, 2022

Escaping limit cycles: Global convergence for constrained nonconvex-nonconcave minimax problems.

Thomas Pethick, Puya Latafat, Panos Patrinos, Olivier Fercoq, Volkan Cevher

Proceedings of the Tenth International Conference on Learning Representations, 2022

High Probability Bounds for a Class of Nonconvex Algorithms with AdaGrad Stepsize.

Ali Kavis, Kfir Yehuda Levy, Volkan Cevher

Proceedings of the Tenth International Conference on Learning Representations, 2022

The Spectral Bias of Polynomial Neural Networks.

Moulik Choraria, Leello Tadesse Dadi, Grigorios Chrysos, Julien Mairal, Volkan Cevher

Proceedings of the Tenth International Conference on Learning Representations, 2022

Faster One-Sample Stochastic Conditional Gradient Method for Composite Convex Minimization.

Gideon Dresdner, Maria-Luiza Vladarean, Gunnar Rätsch, Francesco Locatello, Volkan Cevher, Alp Yurtsever

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Scalable Semidefinite Programming.

Alp Yurtsever, Joel A. Tropp, Olivier Fercoq, Madeleine Udell, Volkan Cevher

SIAM J. Math. Data Sci., 2021

An Optimal-Storage Approach to Semidefinite Programming Using Approximate Complementarity.

Lijun Ding, Alp Yurtsever, Volkan Cevher, Joel A. Tropp, Madeleine Udell

SIAM J. Optim., 2021

STORM+: Fully Adaptive SGD with Momentum for Nonconvex Optimization.

Kfir Y. Levy, Ali Kavis, Volkan Cevher

CoRR, 2021

Self-Supervised Neural Architecture Search for Imbalanced Datasets.

Aleksandr Timofeev, Grigorios G. Chrysos, Volkan Cevher

CoRR, 2021

Forward-reflected-backward method with variance reduction.

Ahmet Alacaoglu, Yura Malitsky, Volkan Cevher

Comput. Optim. Appl., 2021

A first-order primal-dual method with adaptivity to local smoothness.

Maria-Luiza Vladarean, Yura Malitsky, Volkan Cevher

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Robust Inverse Reinforcement Learning under Transition Dynamics Mismatch.

Luca Viano, Yu-Ting Huang, Parameswaran Kamalaruban, Adrian Weller, Volkan Cevher

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Subquadratic Overparameterization for Shallow Neural Networks.

Chaehwan Song, Ali Ramezani-Kebrya, Thomas Pethick, Armin Eftekhari, Volkan Cevher

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

STORM+: Fully Adaptive SGD with Recursive Momentum for Nonconvex Optimization.

Kfir Y. Levy, Ali Kavis, Volkan Cevher

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

The Effect of the Intrinsic Dimension on the Generalization of Quadratic Classifiers.

Fabian Latorre, Leello Tadesse Dadi, Paul Rolland, Volkan Cevher

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Sifting through the noise: Universal first-order methods for stochastic variational inequalities.

Kimon Antonakopoulos, Thomas Pethick, Ali Kavis, Panayotis Mertikopoulos, Volkan Cevher

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Convergence of adaptive algorithms for constrained weakly convex optimization.

Ahmet Alacaoglu, Yura Malitsky, Volkan Cevher

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

The Limits of Min-Max Optimization Algorithms: Convergence to Spurious Non-Critical Sets.

Ya-Ping Hsieh, Panayotis Mertikopoulos, Volkan Cevher

Proceedings of the 38th International Conference on Machine Learning, 2021

Regret Minimization in Stochastic Non-Convex Learning via a Proximal-Gradient Approach.

Nadav Hallak, Panayotis Mertikopoulos, Volkan Cevher

Proceedings of the 38th International Conference on Machine Learning, 2021

A Plug-and-Play Deep Image Prior.

Zhaodong Sun, Fabian Latorre, Thomas Sanchez, Volkan Cevher

Proceedings of the IEEE International Conference on Acoustics, 2021

A 16-Channel Wireless Neural Recording System-on-Chip with CHT Feature Extraction Processor in 65nm CMOS.

Arda Uran, Kerim Türe, Cosimo Aprile, Alix Trouillet, Florian Fallegger, Azita Emami, Stéphanie P. Lacour, Catherine Dehollain, Yusuf Leblebici, Volkan Cevher

Proceedings of the IEEE Custom Integrated Circuits Conference, 2021

2020

Optimization for Reinforcement Learning: From a single agent to cooperative agents.

Donghwan Lee, Niao He, Parameswaran Kamalaruban, Volkan Cevher

IEEE Signal Process. Mag., 2020

Machine Learning From Distributed, Streaming Data [From the Guest Editors].

Waheed U. Bajwa, Volkan Cevher, Dimitris S. Papailiopoulos, Anna Scaglione

IEEE Signal Process. Mag., 2020

An adaptive primal-dual framework for nonsmooth convex minimization.

Quoc Tran-Dinh, Ahmet Alacaoglu, Olivier Fercoq, Volkan Cevher

Math. Program. Comput., 2020

Optimal Convergence for Distributed Learning with Stochastic Gradient Methods and Spectral Algorithms.

Junhong Lin, Volkan Cevher

J. Mach. Learn. Res., 2020

Convergences of Regularized Algorithms and Stochastic Gradient Methods with Random Projections.

Junhong Lin, Volkan Cevher

J. Mach. Learn. Res., 2020

Robust Inverse Reinforcement Learning under Transition Dynamics Mismatch.

Luca Viano, Yu-Ting Huang, Parameswaran Kamalaruban, Volkan Cevher

CoRR, 2020

Interaction-limited Inverse Reinforcement Learning.

Martin Troussard, Emmanuel Pignat, Parameswaran Kamalaruban, Sylvain Calinon, Volkan Cevher

CoRR, 2020

Environment Shaping in Reinforcement Learning using State Abstraction.

Parameswaran Kamalaruban, Rati Devidze, Volkan Cevher, Adish Singla

CoRR, 2020

Convergence of adaptive algorithms for weakly convex constrained optimization.

Ahmet Alacaoglu, Yura Malitsky, Volkan Cevher

CoRR, 2020

On the Almost Sure Convergence of Stochastic Gradient Descent in Non-Convex Problems.

Panayotis Mertikopoulos, Nadav Hallak, Ali Kavis, Volkan Cevher

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Robust Reinforcement Learning via Adversarial training with Langevin Dynamics.

Parameswaran Kamalaruban, Yu-Ting Huang, Ya-Ping Hsieh, Paul Rolland, Cheng Shi, Volkan Cevher

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Conditional gradient methods for stochastically constrained convex minimization.

Maria-Luiza Vladarean, Ahmet Alacaoglu, Ya-Ping Hsieh, Volkan Cevher

Proceedings of the 37th International Conference on Machine Learning, 2020

Double-Loop Unadjusted Langevin Algorithm.

Paul Rolland, Armin Eftekhari, Ali Kavis, Volkan Cevher

Proceedings of the 37th International Conference on Machine Learning, 2020

Efficient Proximal Mapping of the 1-path-norm of Shallow Networks.

Fabian Latorre Gómez, Paul Rolland, Nadav Hallak, Volkan Cevher

Proceedings of the 37th International Conference on Machine Learning, 2020

A new regret analysis for Adam-type algorithms.

Ahmet Alacaoglu, Yura Malitsky, Panayotis Mertikopoulos, Volkan Cevher

Proceedings of the 37th International Conference on Machine Learning, 2020

Random extrapolation for primal-dual coordinate descent.

Ahmet Alacaoglu, Olivier Fercoq, Volkan Cevher

Proceedings of the 37th International Conference on Machine Learning, 2020

Lipschitz constant estimation of Neural Networks via sparse polynomial optimization.

Fabian Latorre Gómez, Paul Rolland, Volkan Cevher

Proceedings of the 8th International Conference on Learning Representations, 2020

Scalable Learning-Based Sampling Optimization for Compressive Dynamic MRI.

Thomas Sanchez, Baran Gözcü, Ruud B. van Heeswijk, Armin Eftekhari, Efe Ilicak, Tolga Çukur, Volkan Cevher

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

A Learning-Based Framework for Quantized Compressed Sensing.

Rabeeh Karimi Mahabadi, Junhong Lin, Volkan Cevher

IEEE Signal Process. Lett., 2019

Streaming Low-Rank Matrix Approximation with an Application to Scientific Simulation.

Joel A. Tropp, Alp Yurtsever, Madeleine Udell, Volkan Cevher

SIAM J. Sci. Comput., 2019

On the linear convergence of the stochastic gradient method with constant step-size.

Volkan Cevher, Bang Công Vu

Optim. Lett., 2019

Convergence of the Exponentiated Gradient Method with Armijo Line Search.

Yen-Huan Li, Volkan Cevher

J. Optim. Theory Appl., 2019

On Certifying Non-uniform Bound against Adversarial Attacks.

Chen Liu, Ryota Tomioka, Volkan Cevher

CoRR, 2019

Scalable Learning-Based Sampling Optimization for Compressive Dynamic MRI.

Thomas Sanchez, Baran Gözcü, Ruud B. van Heeswijk, Efe Ilicak, Tolga Çukur, Volkan Cevher

CoRR, 2019

Stochastic Conditional Gradient Method for Composite Convex Minimization.

Francesco Locatello, Alp Yurtsever, Olivier Fercoq, Volkan Cevher

CoRR, 2019

An Introductory Guide to Fano's Inequality with Applications in Statistical Estimation.

Jonathan Scarlett, Volkan Cevher

CoRR, 2019

An Inexact Augmented Lagrangian Framework for Nonconvex Optimization with Nonlinear Constraints.

Mehmet Fatih Sahin, Armin Eftekhari, Ahmet Alacaoglu, Fabian Latorre Gómez, Volkan Cevher

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Stochastic Frank-Wolfe for Composite Convex Minimization.

Francesco Locatello, Alp Yurtsever, Olivier Fercoq, Volkan Cevher

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

UniXGrad: A Universal, Adaptive Algorithm with Optimal Guarantees for Constrained Optimization.

Ali Kavis, Kfir Y. Levy, Francis R. Bach, Volkan Cevher

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Fast and Provable ADMM for Learning with Generative Priors.

Fabian Latorre Gómez, Armin Eftekhari, Volkan Cevher

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Overlapping Multi-Bandit Best Arm Identification.

Jonathan Scarlett, Ilija Bogunovic, Volkan Cevher

Proceedings of the IEEE International Symposium on Information Theory, 2019

Interactive Teaching Algorithms for Inverse Reinforcement Learning.

Parameswaran Kamalaruban, Rati Devidze, Volkan Cevher, Adish Singla

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Conditional Gradient Methods via Stochastic Path-Integrated Differential Estimator.

Alp Yurtsever, Suvrit Sra, Volkan Cevher

Proceedings of the 36th International Conference on Machine Learning, 2019

A Conditional-Gradient-Based Augmented Lagrangian Framework.

Alp Yurtsever, Olivier Fercoq, Volkan Cevher

Proceedings of the 36th International Conference on Machine Learning, 2019

Efficient learning of smooth probability functions from Bernoulli tests with guarantees.

Paul Rolland, Ali Kavis, Alexander Immer, Adish Singla, Volkan Cevher

Proceedings of the 36th International Conference on Machine Learning, 2019

On Certifying Non-Uniform Bounds against Adversarial Attacks.

Chen Liu, Ryota Tomioka, Volkan Cevher

Proceedings of the 36th International Conference on Machine Learning, 2019

Finding Mixed Nash Equilibria of Generative Adversarial Networks.

Ya-Ping Hsieh, Chen Liu, Volkan Cevher

Proceedings of the 36th International Conference on Machine Learning, 2019

Almost surely constrained convex optimization.

Olivier Fercoq, Ahmet Alacaoglu, Ion Necoara, Volkan Cevher

Proceedings of the 36th International Conference on Machine Learning, 2019

Rethinking Sampling in Parallel MRI: A Data-Driven Approach.

Baran Gözcü, Thomas Sanchez, Volkan Cevher

Proceedings of the 27th European Signal Processing Conference, 2019

Iterative Classroom Teaching.

Teresa Yeo, Parameswaran Kamalaruban, Adish Singla, Arpit Merchant, Thibault Asselborn, Louis Faucon, Pierre Dillenbourg, Volkan Cevher

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

A Non-Euclidean Gradient Descent Framework for Non-Convex Matrix Factorization.

Ya-Ping Hsieh, Yu-Chun Kao, Rabeeh Karimi Mahabadi, Alp Yurtsever, Anastasios Kyrillidis, Volkan Cevher

IEEE Trans. Signal Process., 2018

Learning-Based Compressive MRI.

Baran Gozcu, Rabeeh Karimi Mahabadi, Yen-Huan Li, Efe Ilicak, Tolga Çukur, Jonathan Scarlett, Volkan Cevher

IEEE Trans. Medical Imaging, 2018

Adaptive Learning-Based Compressive Sampling for Low-power Wireless Implants.

Cosimo Aprile, Kerim Türe, Luca Baldassarre, Mahsa Shoaran, Gürkan Yilmaz, Franco Maloberti, Catherine Dehollain, Yusuf Leblebici, Volkan Cevher

IEEE Trans. Circuits Syst. I Regul. Pap., 2018

A Smooth Primal-Dual Optimization Framework for Nonsmooth Composite Convex Minimization.

Quoc Tran-Dinh, Olivier Fercoq, Volkan Cevher

SIAM J. Optim., 2018

A Single-Phase, Proximal Path-Following Framework.

Quoc Tran-Dinh, Anastasios Kyrillidis, Volkan Cevher

Math. Oper. Res., 2018

Near-Optimal Noisy Group Testing via Separate Decoding of Items.

Jonathan Scarlett, Volkan Cevher

IEEE J. Sel. Top. Signal Process., 2018

An Eight-Lane 7-Gb/s/pin Source Synchronous Single-Ended RX With Equalization and Far-End Crosstalk Cancellation for Backplane Channels.

Cosimo Aprile, Alessandro Cevrero, Pier Andrea Francese, Christian Menolfi, Matthias Braendli, Marcel A. Kossel, Thomas Morf, Lukas Kull, Ilter Oezkaya, Yusuf Leblebici, Volkan Cevher, Thomas Toifl

IEEE J. Solid State Circuits, 2018

Efficient learning of smooth probability functions from Bernoulli tests with guarantees.

Paul Rolland, Ali Kavis, Adish Singla, Volkan Cevher

CoRR, 2018

Kernel Conjugate Gradient Methods with Random Projections.

Junhong Lin, Volkan Cevher

CoRR, 2018

Mirrored Langevin Dynamics.

Ya-Ping Hsieh, Volkan Cevher

CoRR, 2018

Optimal Convergence for Distributed Learning with Stochastic Gradient Methods and Spectral-Regularization Algorithms.

Junhong Lin, Volkan Cevher

CoRR, 2018

Optimal Rates for Spectral-regularized Algorithms with Least-Squares Regression over Hilbert Spaces.

Junhong Lin, Volkan Cevher

CoRR, 2018

Online Adaptive Methods, Universality and Acceleration.

Kfir Yehuda Levy, Alp Yurtsever, Volkan Cevher

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Mirrored Langevin Dynamics.

Ya-Ping Hsieh, Ali Kavis, Paul Rolland, Volkan Cevher

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Adversarially Robust Optimization with Gaussian Processes.

Ilija Bogunovic, Jonathan Scarlett, Stefanie Jegelka, Volkan Cevher

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

A Conditional Gradient Framework for Composite Convex Minimization with Applications to Semidefinite Programming.

Alp Yurtsever, Olivier Fercoq, Francesco Locatello, Volkan Cevher

Proceedings of the 35th International Conference on Machine Learning, 2018

Optimal Rates of Sketched-regularized Algorithms for Least-Squares Regression over Hilbert Spaces.

Junhong Lin, Volkan Cevher

Proceedings of the 35th International Conference on Machine Learning, 2018

Optimal Distributed Learning with Multi-pass Stochastic Gradient Methods.

Junhong Lin, Volkan Cevher

Proceedings of the 35th International Conference on Machine Learning, 2018

Let's be Honest: An Optimal No-Regret Framework for Zero-Sum Games.

Ehsan Asadi Kangarshahi, Ya-Ping Hsieh, Mehmet Fatih Sahin, Volkan Cevher

Proceedings of the 35th International Conference on Machine Learning, 2018

Real-Time DCT Learning-based Reconstruction of Neural Signals.

Rabeeh Karimi Mahabadi, Cosimo Aprile, Volkan Cevher

Proceedings of the 26th European Signal Processing Conference, 2018

An area and power efficient on-the-fly LBCS transformation for implantable neuronal signal acquisition systems.

Cosimo Aprile, Johannes Wüthrich, Luca Baldassarre, Yusuf Leblebici, Volkan Cevher

Proceedings of the 15th ACM International Conference on Computing Frontiers, 2018

Dimension-free Information Concentration via Exp-Concavity.

Ya-Ping Hsieh, Volkan Cevher

Proceedings of the Algorithmic Learning Theory, 2018

Stochastic Three-Composite Convex Minimization with a Linear Operator.

Renbo Zhao, Volkan Cevher

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

High-Dimensional Bayesian Optimization via Additive Models with Overlapping Groups.

Paul Rolland, Jonathan Scarlett, Ilija Bogunovic, Volkan Cevher

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

Combinatorial Penalties: Which structures are preserved by convex relaxations?

Marwa El Halabi, Francis R. Bach, Volkan Cevher

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

Robust Maximization of Non-Submodular Objectives.

Ilija Bogunovic, Junyao Zhao, Volkan Cevher

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017

Limits on Support Recovery With Probabilistic Models: An Information-Theoretic Framework.

Jonathan Scarlett, Volkan Cevher

IEEE Trans. Inf. Theory, 2017

Practical Sketching Algorithms for Low-Rank Matrix Approximation.

Joel A. Tropp, Alp Yurtsever, Madeleine Udell, Volkan Cevher

SIAM J. Matrix Anal. Appl., 2017

Efficient and Near-Optimal Noisy Group Testing: An Information-Theoretic Framework.

Jonathan Scarlett, Volkan Cevher

CoRR, 2017

An adaptive sublinear-time block sparse fourier transform.

Volkan Cevher, Michael Kapralov, Jonathan Scarlett, Amir Zandieh

Proceedings of the 49th Annual ACM SIGACT Symposium on Theory of Computing, 2017

Fixed-Rank Approximation of a Positive-Semidefinite Matrix from Streaming Data.

Joel A. Tropp, Alp Yurtsever, Madeleine Udell, Volkan Cevher

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Phase Transitions in the Pooled Data Problem.

Jonathan Scarlett, Volkan Cevher

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Streaming Robust Submodular Maximization: A Partitioned Thresholding Approach.

Slobodan Mitrovic, Ilija Bogunovic, Ashkan Norouzi-Fard, Jakub Tarnawski, Volkan Cevher

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Smooth Primal-Dual Coordinate Descent Algorithms for Nonsmooth Convex Optimization.

Ahmet Alacaoglu, Quoc Tran-Dinh, Olivier Fercoq, Volkan Cevher

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Robust Submodular Maximization: A Non-Uniform Partitioning Approach.

Ilija Bogunovic, Slobodan Mitrovic, Jonathan Scarlett, Volkan Cevher

Proceedings of the 34th International Conference on Machine Learning, 2017

How little does non-exact recovery help in group testing?

Jonathan Scarlett, Volkan Cevher

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Lower Bounds on Regret for Noisy Gaussian Process Bandit Optimization.

Jonathan Scarlett, Ilija Bogunovic, Volkan Cevher

Proceedings of the 30th Conference on Learning Theory, 2017

DCT Learning-Based Hardware Design for Neural Signal Acquisition Systems.

Cosimo Aprile, Johannes Wüthrich, Luca Baldassarre, Yusuf Leblebici, Volkan Cevher

Proceedings of the Computing Frontiers Conference, 2017

A distributed algorithm for partitioned robust submodular maximization.

Ilija Bogunovic, Slobodan Mitrovic, Jonathan Scarlett, Volkan Cevher

Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017

Sketchy Decisions: Convex Low-Rank Matrix Optimization with Optimal Storage.

Alp Yurtsever, Madeleine Udell, Joel A. Tropp, Volkan Cevher

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

Lower Bounds on Active Learning for Graphical Model Selection.

Jonathan Scarlett, Volkan Cevher

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

Faster Coordinate Descent via Adaptive Importance Sampling.

Dmytro Perekrestenko, Volkan Cevher, Martin Jaggi

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016

Adaptive-Rate Reconstruction of Time-Varying Signals With Application in Compressive Foreground Extraction.

João F. C. Mota, Nikos Deligiannis, Aswin C. Sankaranarayanan, Volkan Cevher, Miguel R. D. Rodrigues

IEEE Trans. Signal Process., 2016

Binary Sparse Coding of Convolutive Mixtures for Sound Localization and Separation via Spatialization.

Afsaneh Asaei, Mohammad Javad Taghizadeh, Saeid Haghighatshoar, Bhiksha Raj, Hervé Bourlard, Volkan Cevher

IEEE Trans. Signal Process., 2016

On the Difficulty of Selecting Ising Models With Approximate Recovery.

Jonathan Scarlett, Volkan Cevher

IEEE Trans. Signal Inf. Process. over Networks, 2016

Fixed Points of Generalized Approximate Message Passing With Arbitrary Matrices.

Sundeep Rangan, Philip Schniter, Erwin Riegler, Alyson K. Fletcher, Volkan Cevher

IEEE Trans. Inf. Theory, 2016

Group-Sparse Model Selection: Hardness and Relaxations.

Luca Baldassarre, Nirav Bhan, Volkan Cevher, Anastasios Kyrillidis, Siddhartha Satpathi

IEEE Trans. Inf. Theory, 2016

Computational methods for underdetermined convolutive speech localization and separation via model-based sparse component analysis.

Afsaneh Asaei, Hervé Bourlard, Mohammad Javad Taghizadeh, Volkan Cevher

Speech Commun., 2016

Stochastic Spectral Descent for Discrete Graphical Models.

David E. Carlson, Ya-Ping Hsieh, Edo Collins, Lawrence Carin, Volkan Cevher

IEEE J. Sel. Top. Signal Process., 2016

Learning-Based Compressive Subsampling.

Luca Baldassarre, Yen-Huan Li, Jonathan Scarlett, Baran Gozcu, Ilija Bogunovic, Volkan Cevher

IEEE J. Sel. Top. Signal Process., 2016

Randomized single-view algorithms for low-rank matrix approximation.

Joel A. Tropp, Alp Yurtsever, Madeleine Udell, Volkan Cevher

CoRR, 2016

Phase Transitions in Group Testing.

Jonathan Scarlett, Volkan Cevher

Proceedings of the Twenty-Seventh Annual ACM-SIAM Symposium on Discrete Algorithms, 2016

Stochastic Three-Composite Convex Minimization.

Alp Yurtsever, Bang Công Vu, Volkan Cevher

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

An Efficient Streaming Algorithm for the Submodular Cover Problem.

Ashkan Norouzi-Fard, Abbas Bazzi, Ilija Bogunovic, Marwa El Halabi, Ya-Ping Hsieh, Volkan Cevher

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Truncated Variance Reduction: A Unified Approach to Bayesian Optimization and Level-Set Estimation.

Ilija Bogunovic, Jonathan Scarlett, Andreas Krause, Volkan Cevher

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Converse bounds for noisy group testing with arbitrary measurement matrices.

Jonathan Scarlett, Volkan Cevher

Proceedings of the IEEE International Symposium on Information Theory, 2016

Partial recovery bounds for the sparse stochastic block model.

Jonathan Scarlett, Volkan Cevher

Proceedings of the IEEE International Symposium on Information Theory, 2016

Frank-Wolfe works for non-Lipschitz continuous gradient objectives: Scalable poisson phase retrieval.

Gergely Ódor, Yen-Huan Li, Alp Yurtsever, Ya-Ping Hsieh, Quoc Tran-Dinh, Marwa El Halabi, Volkan Cevher

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Learning data triage: Linear decoding works for compressive MRI.

Yen-Huan Li, Volkan Cevher

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Learning-Based Near-Optimal Area-Power Trade-offs in Hardware Design for Neural Signal Acquisition.

Cosimo Aprile, Luca Baldassarre, Vipul Gupta, Juhwan Yoo, Mahsa Shoaran, Yusuf Leblebici, Volkan Cevher

Proceedings of the 26th edition on Great Lakes Symposium on VLSI, 2016

Estimation error of the constrained lasso.

Nissim Zerbib, Yen-Huan Li, Ya-Ping Hsieh, Volkan Cevher

Proceedings of the 54th Annual Allerton Conference on Communication, 2016

Limits on Sparse Support Recovery via Linear Sketching with Random Expander Matrices.

Jonathan Scarlett, Volkan Cevher

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

Convex Block-sparse Linear Regression with Expanders - Provably.

Anastasios Kyrillidis, Bubacarr Bah, Rouzbeh Hasheminezhad, Quoc Tran-Dinh, Luca Baldassarre, Volkan Cevher

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

Time-Varying Gaussian Process Bandit Optimization.

Ilija Bogunovic, Jonathan Scarlett, Volkan Cevher

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

2015

Signal Recovery and System Calibration from Multiple Compressive Poisson Measurements.

Liming Wang, Jiaji Huang, Xin Yuan, Kalyani Krishnamurthy, Joel A. Greenberg, Volkan Cevher, Miguel R. D. Rodrigues, David J. Brady, A. Robert Calderbank, Lawrence Carin

SIAM J. Imaging Sci., 2015

Introduction to the issue on signal processing for big data.

Georgios B. Giannakis, Raphael Cendrillon, Volkan Cevher, Ananthram Swami, Zhi Tian

IEEE J. Sel. Top. Signal Process., 2015

Designing Statistical Estimators That Balance Sample Size, Risk, and Computational Cost.

John J. Bruer, Joel A. Tropp, Volkan Cevher, Stephen Becker

IEEE J. Sel. Top. Signal Process., 2015

Composite self-concordant minimization.

Quoc Tran-Dinh, Anastasios Kyrillidis, Volkan Cevher

J. Mach. Learn. Res., 2015

Limits on Support Recovery with Probabilistic Models: An Information-Spectrum Approach.

Jonathan Scarlett, Volkan Cevher

CoRR, 2015

Adaptive-Rate Sparse Signal Reconstruction With Application in Compressive Background Subtraction.

João F. C. Mota, Nikos Deligiannis, Aswin C. Sankaranarayanan, Volkan Cevher, Miguel R. D. Rodrigues

CoRR, 2015

Structured Sparsity: Discrete and Convex approaches.

Anastasios Kyrillidis, Luca Baldassarre, Marwa El Halabi, Quoc Tran-Dinh, Volkan Cevher

CoRR, 2015

Linear Inverse Problems with Norm and Sparsity Constraints.

Volkan Cevher, Sina Jafarpour, Anastasios Kyrillidis

CoRR, 2015

What's the Frequency, Kenneth?: Sublinear Fourier Sampling Off the Grid.

Petros Boufounos, Volkan Cevher, Anna C. Gilbert, Yi Li, Martin J. Strauss

Algorithmica, 2015

A 5.9mW/Gb/s 7Gb/s/pin 8-lane single-ended RX with crosstalk cancellation scheme using a XCTLE and 56-tap XDFE in 32nm SOI CMOS.

Alessandro Cevrero, Cosimo Aprile, Pier Andrea Francese, U. Bapst, Christian Menolfi, Matthias Braendli, Marcel A. Kossel, Thomas Morf, Lukas Kull, Hazar Yueksel, Ilter Oezkaya, Yusuf Leblebici, Volkan Cevher, Thomas Toifl

Proceedings of the Symposium on VLSI Circuits, 2015

A Universal Primal-Dual Convex Optimization Framework.

Alp Yurtsever, Quoc Tran-Dinh, Volkan Cevher

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Preconditioned Spectral Descent for Deep Learning.

David E. Carlson, Edo Collins, Ya-Ping Hsieh, Lawrence Carin, Volkan Cevher

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Composite Convex Minimization Involving Self-concordant-Like Cost Functions.

Quoc Tran-Dinh, Yen-Huan Li, Volkan Cevher

Proceedings of the Modelling, Computation and Optimization in Information Systems and Management Sciences - Proceedings of the 3rd International Conference on Modelling, Computation and Optimization in Information Systems and Management Sciences, 2015

A concentration-of-measure inequality for multiple-measurement models.

Liming Wang, Jiaji Huang, Xin Yuan, Volkan Cevher, Miguel R. D. Rodrigues, A. Robert Calderbank, Lawrence Carin

Proceedings of the IEEE International Symposium on Information Theory, 2015

Sparse group covers and greedy tree approximations.

Siddhartha Satpathi, Luca Baldassarre, Volkan Cevher

Proceedings of the IEEE International Symposium on Information Theory, 2015

Dynamic sparse state estimation using ℓ1-ℓ1 minimization: Adaptive-rate measurement bounds, algorithms and applications.

João F. C. Mota, Nikos Deligiannis, Aswin C. Sankaranarayanan, Volkan Cevher, Miguel R. D. Rodrigues

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Consistency of ℓ1-regularized maximum-likelihood for compressive Poisson regression.

Yen-Huan Li, Volkan Cevher

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Active learning of self-concordant like multi-index functions.

Ilija Bogunovic, Volkan Cevher, Jarvis D. Haupt, Jonathan Scarlett

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

A primal-dual framework for mixtures of regularizers.

Baran Gozcu, Luca Baldassarre, Quoc Tran-Dinh, Cosimo Aprile, Volkan Cevher

Proceedings of the 23rd European Signal Processing Conference, 2015

Scalable convex methods for phase retrieval.

Alp Yurtsever, Ya-Ping Hsieh, Volkan Cevher

Proceedings of the 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2015

Structured sampling and recovery of iEEG signals.

Luca Baldassarre, Cosimo Aprile, Mahsa Shoaran, Yusuf Leblebici, Volkan Cevher

Proceedings of the 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2015

WASP: Scalable Bayes via barycenters of subset posteriors.

Sanvesh Srivastava, Volkan Cevher, Quoc Tran-Dinh, David B. Dunson

Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

Sparsistency of 1-Regularized M-Estimators.

Yen-Huan Li, Jonathan Scarlett, Pradeep Ravikumar, Volkan Cevher

Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

A totally unimodular view of structured sparsity.

Marwa El Halabi, Volkan Cevher

Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

Stochastic Spectral Descent for Restricted Boltzmann Machines.

David E. Carlson, Volkan Cevher, Lawrence Carin

Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

2014

Bilinear Generalized Approximate Message Passing - Part II: Applications.

Jason T. Parker, Philip Schniter, Volkan Cevher

IEEE Trans. Signal Process., 2014

Bilinear Generalized Approximate Message Passing - Part I: Derivation.

Jason T. Parker, Philip Schniter, Volkan Cevher

IEEE Trans. Signal Process., 2014

Structured Sparsity Models for Reverberant Speech Separation.

Afsaneh Asaei, Mohammad Golbabaee, Hervé Bourlard, Volkan Cevher

IEEE ACM Trans. Audio Speech Lang. Process., 2014

Convexity in Source Separation : Models, geometry, and algorithms.

Michael B. McCoy, Volkan Cevher, Quoc Tran-Dinh, Afsaneh Asaei, Luca Baldassarre

IEEE Signal Process. Mag., 2014

Convex Optimization for Big Data: Scalable, randomized, and parallel algorithms for big data analytics.

Volkan Cevher, Stephen Becker, Mark Schmidt

IEEE Signal Process. Mag., 2014

An Inexact Proximal Path-Following Algorithm for Constrained Convex Minimization.

Quoc Tran-Dinh, Anastasios Kyrillidis, Volkan Cevher

SIAM J. Optim., 2014

Matrix Recipes for Hard Thresholding Methods.

Anastasios Kyrillidis, Volkan Cevher

J. Math. Imaging Vis., 2014

Convex Optimization for Big Data.

Volkan Cevher, Stephen Becker, Mark Schmidt

CoRR, 2014

A variational approach to stable principal component pursuit.

Aleksandr Y. Aravkin, Stephen Becker, Volkan Cevher, Peder A. Olsen

Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014

Model-based Sketching and Recovery with Expanders.

Bubacarr Bah, Luca Baldassarre, Volkan Cevher

Proceedings of the Twenty-Fifth Annual ACM-SIAM Symposium on Discrete Algorithms, 2014

Constrained convex minimization via model-based excessive gap.

Quoc Tran-Dinh, Volkan Cevher

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Time-Data Tradeoffs by Aggressive Smoothing.

John J. Bruer, Joel A. Tropp, Volkan Cevher, Stephen Becker

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Map estimation for Bayesian mixture models with submodular priors.

Marwa El Halabi, Luca Baldassarre, Volkan Cevher

Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2014

Barrier smoothing for nonsmooth convex minimization.

Quoc Tran-Dinh, Yen-Huan Li, Volkan Cevher

Proceedings of the IEEE International Conference on Acoustics, 2014

Metric learning with rank and sparsity constraints.

Bubacarr Bah, Stephen Becker, Volkan Cevher, Baran Gozcu

Proceedings of the IEEE International Conference on Acoustics, 2014

Model-based sparse component analysis for reverberant speech localization.

Afsaneh Asaei, Hervé Bourlard, Mohammad Javad Taghizadeh, Volkan Cevher

Proceedings of the IEEE International Conference on Acoustics, 2014

Scalable Sparse Covariance Estimation via Self-Concordance.

Anastasios Kyrillidis, Rabeeh Karimi Mahabadi, Quoc Tran-Dinh, Volkan Cevher

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013

Group-Sparse Model Selection: Hardness and Relaxations

Luca Baldassarre, Nirav Bhan, Volkan Cevher, Anastasios Kyrillidis

CoRR, 2013

Randomized Low-Memory Singular Value Projection

Stephen Becker, Volkan Cevher, Anastasios Kyrillidis

CoRR, 2013

Bilinear Generalized Approximate Message Passing.

Jason T. Parker, Philip Schniter, Volkan Cevher

CoRR, 2013

Energy-aware adaptive bi-Lipschitz embeddings.

Bubacarr Bah, Ali Sadeghian, Volkan Cevher

CoRR, 2013

High-Dimensional Gaussian Process Bandits.

Josip Djolonga, Andreas Krause, Volkan Cevher

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Tractability of interpretability via selection of group-sparse models.

Nirav Bhan, Luca Baldassarre, Volkan Cevher

Proceedings of the 2013 IEEE International Symposium on Information Theory, 2013

A proximal Newton framework for composite minimization: Graph learning without Cholesky decompositions and matrix inversions.

Quoc Tran-Dinh, Anastasios Kyrillidis, Volkan Cevher

Proceedings of the 30th International Conference on Machine Learning, 2013

Sparse projections onto the simplex.

Anastasios Kyrillidis, Stephen Becker, Volkan Cevher, Christoph Koch

Proceedings of the 30th International Conference on Machine Learning, 2013

Fast proximal algorithms for Self-concordant function minimization with application to sparse graph selection.

Anastasios Kyrillidis, Volkan Cevher

Proceedings of the IEEE International Conference on Acoustics, 2013

Sparse simplex projections for portfolio optimization.

Anastasios Kyrillidis, Stephen Becker, Volkan Cevher, Christoph Koch

Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

To convexify or not? Regression with clustering penalties on graphs.

Marwa El Halabi, Luca Baldassarre, Volkan Cevher

Proceedings of the 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2013

Manifold sparse beamforming.

Baran Gozcu, Afsaneh Asaei, Volkan Cevher

Proceedings of the 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2013

2012

Compressible Distributions for High-Dimensional Statistics.

Rémi Gribonval, Volkan Cevher, Mike E. Davies

IEEE Trans. Inf. Theory, 2012

Bearing Estimation via Spatial Sparsity using Compressive Sensing.

Ali Cafer Gürbüz, Volkan Cevher, James H. McClellan

IEEE Trans. Aerosp. Electron. Syst., 2012

Structured Sparsity Models for Multiparty Speech Recovery from Reverberant Recordings

Afsaneh Asaei, Mohammad Golbabaee, Hervé Bourlard, Volkan Cevher

CoRR, 2012

Sparse projections onto the simplex

Anastasios Kyrillidis, Stephen Becker, Volkan Cevher

CoRR, 2012

MATRIX ALPS: Accelerated low rank and sparse matrix reconstruction.

Anastasios Kyrillidis, Volkan Cevher

Proceedings of the IEEE Statistical Signal Processing Workshop, 2012

Equivalence of synthesis and atomic formulations of sparse recovery.

Mitra Fatemi, Shayan Dashmiz, Mohammad Hossein Shafinia, Volkan Cevher

Proceedings of the IEEE Statistical Signal Processing Workshop, 2012

Active Learning of Multi-Index Function Models.

Hemant Tyagi, Volkan Cevher

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Combinatorial selection and least absolute shrinkage via the Clash algorithm.

Anastasios Kyrillidis, Volkan Cevher

Proceedings of the 2012 IEEE International Symposium on Information Theory, 2012

Structured sparse coding for microphone array location calibration.

Afsaneh Asaei, Bhiksha Raj, Hervé Bourlard, Volkan Cevher

Proceedings of the ISCA Workshop on Statistical And Perceptual Audition, 2012

Learning ridge functions with randomized sampling in high dimensions.

Hemant Tyagi, Volkan Cevher

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Hard thresholding with norm constraints.

Anastasios Kyrillidis, Gilles Puy, Volkan Cevher

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Filtered Variation method for denoising and sparse signal processing.

Kivanç Köse, Volkan Cevher, A. Enis Çetin

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Computational methods for structured sparse component analysis of convolutive speech mixtures.

Afsaneh Asaei, Michael E. Davies, Hervé Bourlard, Volkan Cevher

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2011

Learning Low-Dimensional Signal Models.

Lawrence Carin, Richard G. Baraniuk, Volkan Cevher, David B. Dunson, Michael I. Jordan, Guillermo Sapiro, Michael B. Wakin

IEEE Signal Process. Mag., 2011

Greedy Dictionary Selection for Sparse Representation.

Volkan Cevher, Andreas Krause

IEEE J. Sel. Top. Signal Process., 2011

A game theoretic approach to expander-based compressive sensing.

Sina Jafarpour, Volkan Cevher, Robert E. Schapire

Proceedings of the 2011 IEEE International Symposium on Information Theory Proceedings, 2011

Multi-Party Speech Recovery Exploiting Structured Sparsity Models.

Afsaneh Asaei, Mohammad Javad Taghizadeh, Hervé Bourlard, Volkan Cevher

Proceedings of the INTERSPEECH 2011, 2011

Compressive sensing meets game theory.

Sina Jafarpour, Robert E. Schapire, Volkan Cevher

Proceedings of the IEEE International Conference on Acoustics, 2011

Online performance guarantees for sparse recovery.

Raja Giryes, Volkan Cevher

Proceedings of the IEEE International Conference on Acoustics, 2011

An ALPS view of sparse recovery.

Volkan Cevher

Proceedings of the IEEE International Conference on Acoustics, 2011

Model-based compressive sensing for multi-party distant speech recognition.

Afsaneh Asaei, Hervé Bourlard, Volkan Cevher

Proceedings of the IEEE International Conference on Acoustics, 2011

Recipes on hard thresholding methods.

Anastasios Kyrillidis, Volkan Cevher

Proceedings of the 4th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2011

Compressive sensing under matrix uncertainties: An Approximate Message Passing approach.

Jason T. Parker, Volkan Cevher, Philip Schniter

Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011

2010

Model-based compressive sensing.

Richard G. Baraniuk, Volkan Cevher, Marco F. Duarte, Chinmay Hegde

IEEE Trans. Inf. Theory, 2010

Sparse Signal Recovery and Acquisition with Graphical Models.

Volkan Cevher, Piotr Indyk, Lawrence Carin, Richard G. Baraniuk

IEEE Signal Process. Mag., 2010

Low-Dimensional Models for Dimensionality Reduction and Signal Recovery: A Geometric Perspective.

Richard G. Baraniuk, Volkan Cevher, Michael B. Wakin

Proc. IEEE, 2010

Submodular Dictionary Selection for Sparse Representation.

Andreas Krause, Volkan Cevher

Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

Distributed bearing estimation via matrix completion.

Andrew E. Waters, Volkan Cevher

Proceedings of the IEEE International Conference on Acoustics, 2010

2009

Vehicle Speed Estimation Using Acoustic Wave Patterns.

Volkan Cevher, Rama Chellappa, James H. McClellan

IEEE Trans. Signal Process., 2009

Acoustic sensor network design for position estimation.

Volkan Cevher, Lance M. Kaplan

ACM Trans. Sens. Networks, 2009

Learning with Compressible Priors.

Volkan Cevher

Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Near-optimal Bayesian localization via incoherence and sparsity.

Volkan Cevher, Petros Boufounos, Richard G. Baraniuk, Anna C. Gilbert, Martin J. Strauss

Proceedings of the 8th International Conference on Information Processing in Sensor Networks, 2009

Recovery of compressible signals in unions of subspaces.

Marco F. Duarte, Chinmay Hegde, Volkan Cevher, Richard G. Baraniuk

Proceedings of the 43rd Annual Conference on Information Sciences and Systems, 2009

Model-based compressive sensing for signal ensembles.

Marco F. Duarte, Volkan Cevher, Richard G. Baraniuk

Proceedings of the 47th Annual Allerton Conference on Communication, 2009

2008

Sparse Signal Recovery Using Markov Random Fields.

Volkan Cevher, Marco F. Duarte, Chinmay Hegde, Richard G. Baraniuk

Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Pareto Frontiers of Sensor Networks for Localization.

Volkan Cevher, Lance M. Kaplan

Proceedings of the 7th International Conference on Information Processing in Sensor Networks, 2008

Compressed sensing for multi-view tracking and 3-D voxel reconstruction.

Dikpal Reddy, Aswin C. Sankaranarayanan, Volkan Cevher, Rama Chellappa

Proceedings of the International Conference on Image Processing, 2008

A compressive beamforming method.

Ali Cafer Gürbüz, James H. McClellan, Volkan Cevher

Proceedings of the IEEE International Conference on Acoustics, 2008

Factorized variational approximations for acoustic multi source localization.

Volkan Cevher, Aswin C. Sankaranarayanan, Rama Chellappa

Proceedings of the IEEE International Conference on Acoustics, 2008

Compressive wireless arrays for bearing estimation.

Volkan Cevher, Ali Cafer Gürbüz, James H. McClellan, Rama Chellappa

Proceedings of the IEEE International Conference on Acoustics, 2008

Distributed target localization via spatial sparsity.

Volkan Cevher, Marco F. Duarte, Richard G. Baraniuk

Proceedings of the 2008 16th European Signal Processing Conference, 2008

Compressive Sensing for Background Subtraction.

Volkan Cevher, Aswin C. Sankaranarayanan, Marco F. Duarte, Dikpal Reddy, Richard G. Baraniuk, Rama Chellappa

Proceedings of the Computer Vision, 2008

2007

Decentralized State Initialization with Delay Compensation for Multi-modal Sensor Networks.

Milind Borkar, Volkan Cevher, James H. McClellan

J. VLSI Signal Process., 2007

Acoustic Multitarget Tracking Using Direction-of-Arrival Batches.

Volkan Cevher, Rajbabu Velmurugan, James H. McClellan

IEEE Trans. Signal Process., 2007

Target Tracking Using a Joint Acoustic Video System.

Volkan Cevher, Aswin C. Sankaranarayanan, James H. McClellan, Rama Chellappa

IEEE Trans. Multim., 2007

Optimal Maneuvering of Seismic Sensors for Localization of Subsurface Targets.

Mubashir Alam, Volkan Cevher, James H. McClellan, Greg D. Larson, Waymond R. Scott

IEEE Trans. Geosci. Remote. Sens., 2007

Low computation and low latency algorithms for distributed sensor network initialization.

Milind Borkar, Volkan Cevher, James H. McClellan

Signal Image Video Process., 2007

Joint Acoustic-Video Fingerprinting of Vehicles, Part II.

Volkan Cevher, Feng Guo, Aswin C. Sankaranarayanan, Rama Chellappa

Proceedings of the IEEE International Conference on Acoustics, 2007

Joint Acoustic-Video Fingerprinting of Vehicles, Part I.

Volkan Cevher, Rama Chellappa, James H. McClellan

Proceedings of the IEEE International Conference on Acoustics, 2007

2006

A Range-Only Multiple Target Particle Filter Tracker.

Volkan Cevher, Rajbabu Velmurugan, James H. McClellan

Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

A Monte-Carlo Method for Initializing Distributed Tracking Algorithms.

Milind Borkar, Volkan Cevher, James H. McClellan

Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Optimal Experiments With Seismic Sensors.

Mubashir Alam, Volkan Cevher, James H. McClellan

Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

On low-power analog implementation of particle filters for target tracking.

Rajbabu Velmurugan, Shyam Subramanian, Volkan Cevher, David Abramson, Kofi M. Odame, Jordan D. Gray, Haw-Jing Lo, James H. McClellan, David V. Anderson

Proceedings of the 14th European Signal Processing Conference, 2006

A joint radar-acoustic particle filter tracker with acoustic propagation delay compensation.

Volkan Cevher, Milind Borkar, James H. McClellan

Proceedings of the 14th European Signal Processing Conference, 2006

2005

A Bayesian Framework for Target Tracking using Acoustic and Image Measurements.

Volkan Cevher

PhD thesis, 2005

General direction-of-arrival tracking with acoustic nodes.

Volkan Cevher, James H. McClellan

IEEE Trans. Signal Process., 2005

Proposal strategies for joint state-space tracking with particle filters.

Volkan Cevher, James H. McClellan

Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

2004

Fast initialization of particle filters using a modified metropolis-Hastings algorithm: mode-hungry approach.

Volkan Cevher, James H. McClellan

Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

2001

Sensor array calibration via tracking with the extended Kalman filter.

Volkan Cevher, James H. McClellan

Proceedings of the IEEE International Conference on Acoustics, 2001