Jelena Diakonikolas

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 69

Top Topics

Classification Noise

Variance Reduction

Convex Optimization

Top Venues

Publications

Shuyao Li, Yu Cheng, Ilias Diakonikolas, Jelena Diakonikolas, Rong Ge, Stephen J. Wright
Robust Second-Order Nonconvex Optimization and Its Application to Low Rank Matrix Sensing. CoRR (2024)
Nikos Zarifis, Puqian Wang, Ilias Diakonikolas, Jelena Diakonikolas
Robustly Learning Single-Index Models via Alignment Sharpness. CoRR (2024)
Jelena Diakonikolas, Cristóbal Guzmán
Optimization on a Finer Scale: Bounded Local Subgradient Variation Perspective. CoRR (2024)
Xufeng Cai, Jelena Diakonikolas
Last Iterate Convergence of Incremental Methods and Applications in Continual Learning. CoRR (2024)
Ronak Mehta, Jelena Diakonikolas, Zaïd Harchaoui
A Primal-Dual Algorithm for Faster Distributionally Robust Optimization. CoRR (2024)
Xufeng Cai, Ahmet Alacaoglu, Jelena Diakonikolas
Variance Reduced Halpern Iteration for Finite-Sum Monotone Inclusions. ICLR (2024)
Darshan Chakrabarti, Jelena Diakonikolas, Christian Kroer
Block-Coordinate Methods and Restarting for Solving Extensive-Form Games. NeurIPS (2023)
Ilias Diakonikolas, Jelena Diakonikolas, Daniel Kane, Puqian Wang, Nikos Zarifis
Near-Optimal Bounds for Learning Gaussian Halfspaces with Random Classification Noise. NeurIPS (2023)
Puqian Wang, Nikos Zarifis, Ilias Diakonikolas, Jelena Diakonikolas
Robustly Learning a Single Neuron via Sharpness. CoRR (2023)
Ilias Diakonikolas, Jelena Diakonikolas, Daniel M. Kane, Puqian Wang, Nikos Zarifis
Information-Computation Tradeoffs for Learning Margin Halfspaces with Random Classification Noise. COLT (2023)
Xufeng Cai, Ahmet Alacaoglu, Jelena Diakonikolas
Variance Reduced Halpern Iteration for Finite-Sum Monotone Inclusions. CoRR (2023)
Cheuk Yin Lin, Chaobing Song, Jelena Diakonikolas
Accelerated Cyclic Coordinate Dual Averaging with Extrapolation for Composite Convex Optimization. CoRR (2023)
Xufeng Cai, Cheuk Yin Lin, Jelena Diakonikolas
Empirical Risk Minimization with Shuffled SGD: A Primal-Dual Perspective and Improved Bounds. CoRR (2023)
Darshan Chakrabarti, Jelena Diakonikolas, Christian Kroer
Block-Coordinate Methods and Restarting for Solving Extensive-Form Games. CoRR (2023)
Ilias Diakonikolas, Jelena Diakonikolas, Daniel M. Kane, Puqian Wang, Nikos Zarifis
Near-Optimal Bounds for Learning Gaussian Halfspaces with Random Classification Noise. CoRR (2023)
Shuyao Li, Yu Cheng, Ilias Diakonikolas, Jelena Diakonikolas, Rong Ge, Stephen J. Wright
Robust Second-Order Nonconvex Optimization and Its Application to Low Rank Matrix Sensing. NeurIPS (2023)
Xufeng Cai, Chaobing Song, Stephen Wright, Jelena Diakonikolas
Cyclic Block Coordinate Descent With Variance Reduction for Composite Nonconvex Optimization. ICML (2023)
Puqian Wang, Nikos Zarifis, Ilias Diakonikolas, Jelena Diakonikolas
Robustly Learning a Single Neuron via Sharpness. ICML (2023)
Cheuk Yin Lin, Chaobing Song, Jelena Diakonikolas
Accelerated Cyclic Coordinate Dual Averaging with Extrapolation for Composite Convex Optimization. ICML (2023)
Chaobing Song, Jelena Diakonikolas
Cyclic Coordinate Dual Averaging with Extrapolation. SIAM J. Optim. 33 (4) (2023)
Ilias Diakonikolas, Jelena Diakonikolas, Daniel M. Kane, Puqian Wang, Nikos Zarifis
Information-Computation Tradeoffs for Learning Margin Halfspaces with Random Classification Noise. CoRR (2023)
Jelena Diakonikolas, Chenghui Li, Swati Padmanabhan, Chaobing Song
A Fast Scale-Invariant Algorithm for Non-negative Least Squares with Non-negative Data. NeurIPS (2022)
Xufeng Cai, Chaobing Song, Cristóbal Guzmán, Jelena Diakonikolas
Stochastic Halpern Iteration with Variance Reduction for Stochastic Monotone Inclusions. NeurIPS (2022)
Jelena Diakonikolas, Chenghui Li, Swati Padmanabhan, Chaobing Song
A Fast Scale-Invariant Algorithm for Non-negative Least Squares with Non-negative Data. CoRR (2022)
Xufeng Cai, Chaobing Song, Cristóbal Guzmán, Jelena Diakonikolas
A Stochastic Halpern Iteration with Variance Reduction for Stochastic Monotone Inclusion Problems. CoRR (2022)
Xufeng Cai, Chaobing Song, Stephen J. Wright, Jelena Diakonikolas
Cyclic Block Coordinate Descent With Variance Reduction for Composite Nonconvex Optimization. CoRR (2022)
Jelena Diakonikolas, Puqian Wang
Potential Function-Based Framework for Minimizing Gradients in Convex and Min-Max Optimization. SIAM J. Optim. 32 (3) (2022)
Chaobing Song, Cheuk Yin Lin, Stephen Wright, Jelena Diakonikolas
Coordinate Linear Variance Reduction for Generalized Linear Programming. NeurIPS (2022)
Chaobing Song, Stephen J. Wright, Jelena Diakonikolas
Variance Reduction via Primal-Dual Accelerated Dual Averaging for Nonsmooth Convex Finite-Sums. CoRR (2021)
Jelena Diakonikolas, Puqian Wang
Potential Function-based Framework for Making the Gradients Small in Convex and Min-Max Optimization. CoRR (2021)
Chaobing Song, Stephen J. Wright, Jelena Diakonikolas
Variance Reduction via Primal-Dual Accelerated Dual Averaging for Nonsmooth Convex Finite-Sums. ICML (2021)
Jelena Diakonikolas, Constantinos Daskalakis, Michael I. Jordan
Efficient Methods for Structured Nonconvex-Nonconcave Min-Max Optimization. AISTATS (2021)
Jelena Diakonikolas, Cristóbal Guzmán
Complementary Composite Minimization, Small Gradients in General Norms, and Applications to Regression Problems. CoRR (2021)
Chaobing Song, Cheuk Yin Lin, Stephen J. Wright, Jelena Diakonikolas
Coordinate Linear Variance Reduction for Generalized Linear Programming. CoRR (2021)
Jelena Diakonikolas, Michael I. Jordan
Generalized Momentum-Based Methods: A Hamiltonian Perspective. SIAM J. Optim. 31 (1) (2021)
Chaobing Song, Jelena Diakonikolas
Fast Cyclic Coordinate Dual Averaging with Extrapolation for Generalized Variational Inequalities. CoRR (2021)
Alejandro Carderera, Jelena Diakonikolas, Cheuk Yin Lin, Sebastian Pokutta
Parameter-free Locally Accelerated Conditional Gradients. CoRR (2021)
Alejandro Carderera, Jelena Diakonikolas, Cheuk Yin Lin, Sebastian Pokutta
Parameter-free Locally Accelerated Conditional Gradients. ICML (2021)
Jelena Diakonikolas, Cristóbal Guzmán
Lower Bounds for Parallel and Randomized Convex Optimization. J. Mach. Learn. Res. 21 (2020)
Jelena Diakonikolas, Constantinos Daskalakis, Michael I. Jordan
Efficient Methods for Structured Nonconvex-Nonconcave Min-Max Optimization. CoRR (2020)
Niladri S. Chatterji, Jelena Diakonikolas, Michael I. Jordan, Peter L. Bartlett
Langevin Monte Carlo without smoothness. AISTATS (2020)
Jelena Diakonikolas
Halpern Iteration for Near-Optimal and Parameter-Free Monotone Inclusion and Strong Solutions to Variational Inequalities. COLT (2020)
Jelena Diakonikolas
Halpern Iteration for Near-Optimal and Parameter-Free Monotone Inclusion and Strong Solutions to Variational Inequalities. CoRR (2020)
Jelena Diakonikolas, Alejandro Carderera, Sebastian Pokutta
Locally Accelerated Conditional Gradients. AISTATS (2020)
Tingjun Chen, Jelena Diakonikolas, Javad Ghaderi, Gil Zussman
Hybrid Scheduling in Heterogeneous Half- and Full-Duplex Wireless Networks. IEEE/ACM Trans. Netw. 28 (2) (2020)
Jelena Diakonikolas, Maryam Fazel, Lorenzo Orecchia
Fair Packing and Covering on a Relative Scale. SIAM J. Optim. 30 (4) (2020)
Niladri S. Chatterji, Jelena Diakonikolas, Michael I. Jordan, Peter L. Bartlett
Langevin Monte Carlo without Smoothness. CoRR (2019)
Jelena Diakonikolas, Michael I. Jordan
Generalized Momentum-Based Methods: A Hamiltonian Perspective. CoRR (2019)
Jelena Diakonikolas, Lorenzo Orecchia
Conjugate Gradients and Accelerated Methods Unified: The Approximate Duality Gap View. CoRR (2019)
Maotong Xu, Jelena Diakonikolas, Eytan H. Modiano, Suresh Subramaniam
A Hierarchical WDM-Based Scalable Data Center Network Architecture. ICC (2019)
Alejandro Carderera, Jelena Diakonikolas, Sebastian Pokutta
Locally Accelerated Conditional Gradients. CoRR (2019)
Jelena Diakonikolas, Lorenzo Orecchia
The Approximate Duality Gap Technique: A Unified Theory of First-Order Methods. SIAM J. Optim. 29 (1) (2019)
Maotong Xu, Jelena Diakonikolas, Eytan H. Modiano, Suresh Subramaniam
A Hierarchical WDM-based Scalable Data Center Network Architecture. CoRR (2019)
Jelena Diakonikolas, Cristóbal Guzmán
Lower Bounds for Parallel and Randomized Convex Optimization. COLT (2019)
Tingjun Chen, Jelena Diakonikolas, Javad Ghaderi, Gil Zussman
Hybrid Scheduling in Heterogeneous Half-and Full-Duplex Wireless Networks. INFOCOM (2018)
Jelena Diakonikolas, Gil Zussman
On the Rate Regions of Single-Channel and Multi-Channel Full-Duplex Links. IEEE/ACM Trans. Netw. 26 (1) (2018)
Michael Cohen, Jelena Diakonikolas, Lorenzo Orecchia
On Acceleration with Noise-Corrupted Gradients. ICML (2018)
Jelena Diakonikolas, Lorenzo Orecchia
Alternating Randomized Block Coordinate Descent. ICML (2018)
Jelena Diakonikolas, Maryam Fazel, Lorenzo Orecchia
Width-Independence Beyond Linear Objectives: Distributed Fair Packing and Covering Algorithms. CoRR (2018)
Jelena Diakonikolas, Lorenzo Orecchia
Accelerated Extra-Gradient Descent: A Novel Accelerated First-Order Method. ITCS (2018)
Tingjun Chen, Jelena Diakonikolas, Javad Ghaderi, Gil Zussman
Hybrid Scheduling in Heterogeneous Half- and Full-Duplex Wireless Networks. CoRR (2018)
Tingjun Chen, Jelena Diakonikolas, Javad Ghaderi, Gil Zussman
Fairness and Delay in Heterogeneous Half- and Full-Duplex Wireless Networks. ACSSC (2018)
Jelena Diakonikolas, Cristóbal Guzmán
Lower Bounds for Parallel and Randomized Convex Optimization. CoRR (2018)
Michael B. Cohen, Jelena Diakonikolas, Lorenzo Orecchia
On Acceleration with Noise-Corrupted Gradients. CoRR (2018)
Jelena Diakonikolas, Lorenzo Orecchia
The Approximate Duality Gap Technique: A Unified Theory of First-Order Methods. CoRR (2017)
Jin Zhou, Negar Reiskarimian, Jelena Diakonikolas, Tolga Dinc, Tingjun Chen, Gil Zussman, Harish Krishnaswamy
Integrated Full Duplex Radios. IEEE Commun. Mag. 55 (4) (2017)
Tingjun Chen, Jin Zhou, Mahmood Baraani Dastjerdi, Jelena Diakonikolas, Harish Krishnaswamy, Gil Zussman
Demo abstract: Full-duplex with a compact frequency domain equalization-based RF canceller. INFOCOM Workshops (2017)
Jelena Diakonikolas, Lorenzo Orecchia
Accelerated Extra-Gradient Descent: A Novel Accelerated First-Order Method. CoRR (2017)
Jelena Diakonikolas, Lorenzo Orecchia
) Distributed Iterations with a Single Algorithm and Simpler Analysis. CoRR (2017)