Jelena Diakonikolas

According to our database, Jelena Diakonikolas authored at least 54 papers between 2013 and 2024.

Collaborative distances:

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

2024

Optimization on a Finer Scale: Bounded Local Subgradient Variation Perspective.

Jelena Diakonikolas, Cristóbal Guzmán

CoRR, 2024

A Primal-Dual Algorithm for Faster Distributionally Robust Optimization.

Ronak Mehta, Jelena Diakonikolas, Zaïd Harchaoui

CoRR, 2024

Last Iterate Convergence of Incremental Methods and Applications in Continual Learning.

Xufeng Cai, Jelena Diakonikolas

CoRR, 2024

Robustly Learning Single-Index Models via Alignment Sharpness.

Nikos Zarifis, Puqian Wang, Ilias Diakonikolas, Jelena Diakonikolas

CoRR, 2024

2023

Cyclic Coordinate Dual Averaging with Extrapolation.

Chaobing Song, Jelena Diakonikolas

SIAM J. Optim., December, 2023

Variance Reduced Halpern Iteration for Finite-Sum Monotone Inclusions.

Xufeng Cai, Ahmet Alacaoglu, Jelena Diakonikolas

CoRR, 2023

Empirical Risk Minimization with Shuffled SGD: A Primal-Dual Perspective and Improved Bounds.

Xufeng Cai, Cheuk Yin Lin, Jelena Diakonikolas

CoRR, 2023

Robust Second-Order Nonconvex Optimization and Its Application to Low Rank Matrix Sensing.

Shuyao Li, Yu Cheng, Ilias Diakonikolas, Jelena Diakonikolas, Rong Ge, Stephen J. Wright

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

Near-Optimal Bounds for Learning Gaussian Halfspaces with Random Classification Noise.

Ilias Diakonikolas, Jelena Diakonikolas, Daniel Kane, Puqian Wang, Nikos Zarifis

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

Block-Coordinate Methods and Restarting for Solving Extensive-Form Games.

Darshan Chakrabarti, Jelena Diakonikolas, Christian Kroer

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

Robustly Learning a Single Neuron via Sharpness.

Puqian Wang, Nikos Zarifis, Ilias Diakonikolas, Jelena Diakonikolas

Proceedings of the International Conference on Machine Learning, 2023

Accelerated Cyclic Coordinate Dual Averaging with Extrapolation for Composite Convex Optimization.

Cheuk Yin Lin, Chaobing Song, Jelena Diakonikolas

Proceedings of the International Conference on Machine Learning, 2023

Cyclic Block Coordinate Descent With Variance Reduction for Composite Nonconvex Optimization.

Xufeng Cai, Chaobing Song, Stephen J. Wright, Jelena Diakonikolas

Proceedings of the International Conference on Machine Learning, 2023

Information-Computation Tradeoffs for Learning Margin Halfspaces with Random Classification Noise.

Ilias Diakonikolas, Jelena Diakonikolas, Daniel M. Kane, Puqian Wang, Nikos Zarifis

Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023

2022

Potential Function-Based Framework for Minimizing Gradients in Convex and Min-Max Optimization.

Jelena Diakonikolas, Puqian Wang

SIAM J. Optim., 2022

A Stochastic Halpern Iteration with Variance Reduction for Stochastic Monotone Inclusion Problems.

Xufeng Cai, Chaobing Song, Cristóbal Guzmán, Jelena Diakonikolas

CoRR, 2022

Coordinate Linear Variance Reduction for Generalized Linear Programming.

Chaobing Song, Cheuk Yin Lin, Stephen J. Wright, Jelena Diakonikolas

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

A Fast Scale-Invariant Algorithm for Non-negative Least Squares with Non-negative Data.

Jelena Diakonikolas, Chenghui Li, Swati Padmanabhan, Chaobing Song

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

Stochastic Halpern Iteration with Variance Reduction for Stochastic Monotone Inclusions.

Xufeng Cai, Chaobing Song, Cristóbal Guzmán, Jelena Diakonikolas

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

2021

Generalized Momentum-Based Methods: A Hamiltonian Perspective.

Jelena Diakonikolas, Michael I. Jordan

SIAM J. Optim., 2021

Fast Cyclic Coordinate Dual Averaging with Extrapolation for Generalized Variational Inequalities.

Chaobing Song, Jelena Diakonikolas

CoRR, 2021

Potential Function-based Framework for Making the Gradients Small in Convex and Min-Max Optimization.

Jelena Diakonikolas, Puqian Wang

CoRR, 2021

Complementary Composite Minimization, Small Gradients in General Norms, and Applications to Regression Problems.

Jelena Diakonikolas, Cristóbal Guzmán

CoRR, 2021

Variance Reduction via Primal-Dual Accelerated Dual Averaging for Nonsmooth Convex Finite-Sums.

Chaobing Song, Stephen J. Wright, Jelena Diakonikolas

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

Parameter-free Locally Accelerated Conditional Gradients.

Alejandro Carderera, Jelena Diakonikolas, Cheuk Yin Lin, Sebastian Pokutta

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

Efficient Methods for Structured Nonconvex-Nonconcave Min-Max Optimization.

Jelena Diakonikolas, Constantinos Daskalakis, Michael I. Jordan

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Hybrid Scheduling in Heterogeneous Half- and Full-Duplex Wireless Networks.

Tingjun Chen, Jelena Diakonikolas, Javad Ghaderi, Gil Zussman

IEEE/ACM Trans. Netw., 2020

Fair Packing and Covering on a Relative Scale.

Jelena Diakonikolas, Maryam Fazel, Lorenzo Orecchia

SIAM J. Optim., 2020

Lower Bounds for Parallel and Randomized Convex Optimization.

Jelena Diakonikolas, Cristóbal Guzmán

J. Mach. Learn. Res., 2020

Halpern Iteration for Near-Optimal and Parameter-Free Monotone Inclusion and Strong Solutions to Variational Inequalities.

Jelena Diakonikolas

Proceedings of the Conference on Learning Theory, 2020

Locally Accelerated Conditional Gradients.

Jelena Diakonikolas, Alejandro Carderera, Sebastian Pokutta

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

Langevin Monte Carlo without smoothness.

Niladri S. Chatterji, Jelena Diakonikolas, Michael I. Jordan, Peter L. Bartlett

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

The Approximate Duality Gap Technique: A Unified Theory of First-Order Methods.

Jelena Diakonikolas, Lorenzo Orecchia

SIAM J. Optim., 2019

Conjugate Gradients and Accelerated Methods Unified: The Approximate Duality Gap View.

Jelena Diakonikolas, Lorenzo Orecchia

CoRR, 2019

A Hierarchical WDM-Based Scalable Data Center Network Architecture.

Maotong Xu, Jelena Diakonikolas, Eytan H. Modiano, Suresh Subramaniam

Proceedings of the 2019 IEEE International Conference on Communications, 2019

2018

On the Rate Regions of Single-Channel and Multi-Channel Full-Duplex Links.

Jelena Diakonikolas, Gil Zussman

IEEE/ACM Trans. Netw., 2018

Width-Independence Beyond Linear Objectives: Distributed Fair Packing and Covering Algorithms.

Jelena Diakonikolas, Maryam Fazel, Lorenzo Orecchia

CoRR, 2018

Accelerated Extra-Gradient Descent: A Novel Accelerated First-Order Method.

Jelena Diakonikolas, Lorenzo Orecchia

Proceedings of the 9th Innovations in Theoretical Computer Science Conference, 2018

Alternating Randomized Block Coordinate Descent.

Jelena Diakonikolas, Lorenzo Orecchia

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

On Acceleration with Noise-Corrupted Gradients.

Michael Cohen, Jelena Diakonikolas, Lorenzo Orecchia

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

Fairness and Delay in Heterogeneous Half- and Full-Duplex Wireless Networks.

Tingjun Chen, Jelena Diakonikolas, Javad Ghaderi, Gil Zussman

Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018

2017

Resource Allocation and Rate Gains in Practical Full-Duplex Systems.

Jelena Marasevic, Jin Zhou, Harish Krishnaswamy, Yuan Zhong, Gil Zussman

IEEE/ACM Trans. Netw., 2017

Solving Packing and Covering LPs in Õ(1/ε²) Distributed Iterations with a Single Algorithm and Simpler Analysis.

Jelena Diakonikolas, Lorenzo Orecchia

CoRR, 2017

Integrated Full Duplex Radios.

Jin Zhou, Negar Reiskarimian, Jelena Diakonikolas, Tolga Dinc, Tingjun Chen, Gil Zussman, Harish Krishnaswamy

IEEE Commun. Mag., 2017

Max-min Fair Rate Allocation and Routing in Energy Harvesting Networks: Algorithmic Analysis.

Jelena Marasevic, Clifford Stein, Gil Zussman

Algorithmica, 2017

Demo abstract: Full-duplex with a compact frequency domain equalization-based RF canceller.

Tingjun Chen, Jin Zhou, Mahmood Baraani Dastjerdi, Jelena Diakonikolas, Harish Krishnaswamy, Gil Zussman

Proceedings of the 2017 IEEE Conference on Computer Communications Workshops, 2017

2016

Resource Allocation in Wireless Networks: Theory and Applications.

Jelena Marasevic

PhD thesis, 2016

On the capacity regions of single-channel and multi-channel full-duplex links.

Jelena Marasevic, Gil Zussman

Proceedings of the 17th ACM International Symposium on Mobile Ad Hoc Networking and Computing, 2016

Full-duplex wireless based on a small-form-factor analog self-interference canceller: demo.

Tingjun Chen, Jin Zhou, Nicole Grimwood, Rel Fogel, Jelena Marasevic, Harish Krishnaswamy, Gil Zussman

Proceedings of the 17th ACM International Symposium on Mobile Ad Hoc Networking and Computing, 2016

Full-duplex wireless: algorithms and rate improvement bounds for integrated circuit implementations.

Jelena Marasevic, Tingjun Chen, Jin Zhou, Negar Reiskarimian, Harish Krishnaswamy, Gil Zussman

Proceedings of the 3rd Workshop on Hot Topics in Wireless, 2016

A Fast Distributed Stateless Algorithm for alpha-Fair Packing Problems.

Jelena Marasevic, Clifford Stein, Gil Zussman

Proceedings of the 43rd International Colloquium on Automata, Languages, and Programming, 2016

Full-duplex in a hand-held device - From fundamental physics to complex integrated circuits, systems and networks: An overview of the Columbia FlexICoN project.

Harish Krishnaswamy, Gil Zussman, Jin Zhou, Jelena Marasevic, Tolga Dinc, Negar Reiskarimian, Tingjun Chen

Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

2015

A Fast Distributed Algorithm for α-Fair Packing Problems.

Jelena Marasevic, Clifford Stein, Gil Zussman

CoRR, 2015

2013

WiMAX in the Classroom: Designing a Cellular Networking Hands-On Lab.

Jelena Marasevic, Jan Janak, Henning Schulzrinne, Gil Zussman

Proceedings of the 2013 Second GENI Research and Educational Experiment Workshop, 2013