Meisam Razaviyayn
Orcid: 0000-0003-4342-6661
According to our database1,
Meisam Razaviyayn
authored at least 99 papers
between 2010 and 2024.
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Bibliography
2024
Neural Network-Based Score Estimation in Diffusion Models: Optimization and Generalization.
CoRR, 2024
2023
Zeroth-order algorithms for nonconvex-strongly-concave minimax problems with improved complexities.
J. Glob. Optim., November, 2023
Trans. Mach. Learn. Res., 2023
Dr. FERMI: A Stochastic Distributionally Robust Fair Empirical Risk Minimization Framework.
CoRR, 2023
CoRR, 2023
Distributing Synergy Functions: Unifying Game-Theoretic Interaction Methods for Machine-Learning Explainability.
CoRR, 2023
Policy Gradient Converges to the Globally Optimal Policy for Nearly Linear-Quadratic Regulators.
CoRR, 2023
Proceedings of the International Conference on Machine Learning, 2023
Private Federated Learning Without a Trusted Server: Optimal Algorithms for Convex Losses.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the American Control Conference, 2023
Private Stochastic Optimization with Large Worst-Case Lipschitz Parameter: Optimal Rates for (Non-Smooth) Convex Losses and Extension to Non-Convex Losses.
Proceedings of the International Conference on Algorithmic Learning Theory, 2023
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023
Improving Adversarial Robustness via Joint Classification and Multiple Explicit Detection Classes.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023
2022
INFORMS J. Optim., April, 2022
Trans. Mach. Learn. Res., 2022
IEEE Trans. Emerg. Top. Comput., 2022
IEEE ACM Trans. Comput. Biol. Bioinform., 2022
Tradeoffs between convergence rate and noise amplification for momentum-based accelerated optimization algorithms.
CoRR, 2022
Private Stochastic Optimization in the Presence of Outliers: Optimal Rates for (Non-Smooth) Convex Losses and Extension to Non-Convex Losses.
CoRR, 2022
Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2022
A Rigorous Study of Integrated Gradients Method and Extensions to Internal Neuron Attributions.
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the Algorithmic Fairness through the Lens of Causality and Privacy Workshop, 2022
2021
IEEE Trans. Signal Process., 2021
Robustness of Accelerated First-Order Algorithms for Strongly Convex Optimization Problems.
IEEE Trans. Autom. Control., 2021
Efficient Search of First-Order Nash Equilibria in Nonconvex-Concave Smooth Min-Max Problems.
SIAM J. Optim., 2021
CoRR, 2021
Locally Differentially Private Federated Learning: Efficient Algorithms with Tight Risk Bounds.
CoRR, 2021
Efficient Algorithms for Estimating the Parameters of Mixed Linear Regression Models.
CoRR, 2021
CoRR, 2021
Output Perturbation for Differentially Private Convex Optimization with Improved Population Loss Bounds, Runtimes and Applications to Private Adversarial Training.
CoRR, 2021
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
2020
Nonconvex Min-Max Optimization: Applications, Challenges, and Recent Theoretical Advances.
IEEE Signal Process. Mag., 2020
A Trust Region Method for Finding Second-Order Stationarity in Linearly Constrained Nonconvex Optimization.
SIAM J. Optim., 2020
A Block Successive Upper-Bound Minimization Method of Multipliers for Linearly Constrained Convex Optimization.
Math. Oper. Res., 2020
Non-convex Min-Max Optimization: Applications, Challenges, and Recent Theoretical Advances.
CoRR, 2020
CoRR, 2020
Finding Second-Order Stationary Points Efficiently in Smooth Nonconvex Linearly Constrained Optimization Problems.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the 8th International Conference on Learning Representations, 2020
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
2019
A linearly convergent doubly stochastic Gauss-Seidel algorithm for solving linear equations and a certain class of over-parameterized optimization problems.
Math. Program., 2019
Correction to: On the pervasiveness of difference-convexity in optimization and statistics.
Math. Program., 2019
Math. Program., 2019
CoRR, 2019
SNAP: Finding Approximate Second-Order Stationary Solutions Efficiently for Non-convex Linearly Constrained Problems.
CoRR, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the IEEE Data Science Workshop, 2019
Performance of noisy Nesterov's accelerated method for strongly convex optimization problems.
Proceedings of the 2019 American Control Conference, 2019
2018
A New Sequential Optimization Procedure and Its Applications to Resource Allocation for Wireless Systems.
IEEE Trans. Signal Process., 2018
CoRR, 2018
Gradient Primal-Dual Algorithm Converges to Second-Order Stationary Solutions for Nonconvex Distributed Optimization.
CoRR, 2018
On the Convergence and Robustness of Training GANs with Regularized Optimal Transport.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Gradient Primal-Dual Algorithm Converges to Second-Order Stationary Solution for Nonconvex Distributed Optimization Over Networks.
Proceedings of the 35th International Conference on Machine Learning, 2018
Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018
Variance Amplification of Accelerated First-Order Algorithms for Strongly Convex Quadratic Optimization Problems.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018
On the stability of gradient flow dynamics for a rank-one matrix approximation problem.
Proceedings of the 2018 Annual American Control Conference, 2018
2017
Math. Program., 2017
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
2016
SINR Constrained Beamforming for a MIMO Multi-User Downlink System: Algorithms and Convergence Analysis.
IEEE Trans. Signal Process., 2016
A Unified Algorithmic Framework for Block-Structured Optimization Involving Big Data: With applications in machine learning and signal processing.
IEEE Signal Process. Mag., 2016
Convergence Analysis of Alternating Direction Method of Multipliers for a Family of Nonconvex Problems.
SIAM J. Optim., 2016
A Stochastic Successive Minimization Method for Nonsmooth Nonconvex Optimization with Applications to Transceiver Design in Wireless Communication Networks.
Math. Program., 2016
Inexact Block Coordinate Descent Methods For Symmetric Nonnegative Matrix Factorization.
CoRR, 2016
Proceedings of the Big Data over Networks, 2016
2015
CoRR, 2015
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015
Proceedings of the IEEE International Symposium on Information Theory, 2015
2014
IEEE Trans. Signal Process., 2014
IEEE Trans. Signal Process., 2014
IEEE Signal Process. Mag., 2014
Joint base station clustering and beamformer design for partial coordinated transmission using statistical channel state information.
Proceedings of the 2014 IEEE 15th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2014
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014
Joint day-ahead power procurement and load scheduling using stochastic alternating direction method of multipliers.
Proceedings of the IEEE International Conference on Acoustics, 2014
Proceedings of the IEEE International Conference on Acoustics, 2014
A block coordinate descent method of multipliers: Convergence analysis and applications.
Proceedings of the IEEE International Conference on Acoustics, 2014
2013
Linear transceiver design for a MIMO interfering broadcast channel achieving max-min fairness.
Signal Process., 2013
A Unified Convergence Analysis of Block Successive Minimization Methods for Nonsmooth Optimization.
SIAM J. Optim., 2013
Joint User Grouping and Linear Virtual Beamforming: Complexity, Algorithms and Approximation Bounds.
IEEE J. Sel. Areas Commun., 2013
A stochastic weighted MMSE approach to sum rate maximization for a MIMO interference channel.
Proceedings of the 14th IEEE Workshop on Signal Processing Advances in Wireless Communications, 2013
2012
On the Degrees of Freedom Achievable Through Interference Alignment in a MIMO Interference Channel.
IEEE Trans. Signal Process., 2012
IEEE Trans. Inf. Theory, 2012
Optimal joint base station assignment and downlink beamforming for heterogeneous networks.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012
Proceedings of the Conference Record of the Forty Sixth Asilomar Conference on Signals, 2012
Proceedings of the Conference Record of the Forty Sixth Asilomar Conference on Signals, 2012
2011
An Iteratively Weighted MMSE Approach to Distributed Sum-Utility Maximization for a MIMO Interfering Broadcast Channel.
IEEE Trans. Signal Process., 2011
Proceedings of the 45st Annual Conference on Information Sciences and Systems, 2011
2010
Proceedings of the IEEE International Conference on Acoustics, 2010