Jelena Diakonikolas
Orcid: 0000-0003-3439-0310
According to our database1,
Jelena Diakonikolas
authored at least 55 papers
between 2013 and 2024.
Collaborative distances:
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Bibliography
2024
Complementary composite minimization, small gradients in general norms, and applications.
Math. Program., November, 2024
CoRR, 2024
Last Iterate Convergence of Incremental Methods and Applications in Continual Learning.
CoRR, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
2023
Empirical Risk Minimization with Shuffled SGD: A Primal-Dual Perspective and Improved Bounds.
CoRR, 2023
Robust Second-Order Nonconvex Optimization and Its Application to Low Rank Matrix Sensing.
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.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the International Conference on Machine Learning, 2023
Accelerated Cyclic Coordinate Dual Averaging with Extrapolation for Composite Convex Optimization.
Proceedings of the International Conference on Machine Learning, 2023
Cyclic Block Coordinate Descent With Variance Reduction for Composite Nonconvex Optimization.
Proceedings of the International Conference on Machine Learning, 2023
Information-Computation Tradeoffs for Learning Margin Halfspaces with Random Classification Noise.
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.
SIAM J. Optim., 2022
A Stochastic Halpern Iteration with Variance Reduction for Stochastic Monotone Inclusion Problems.
CoRR, 2022
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.
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.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
2021
Fast Cyclic Coordinate Dual Averaging with Extrapolation for Generalized Variational Inequalities.
CoRR, 2021
Potential Function-based Framework for Making the Gradients Small in Convex and Min-Max Optimization.
CoRR, 2021
Complementary Composite Minimization, Small Gradients in General Norms, and Applications to Regression Problems.
CoRR, 2021
Variance Reduction via Primal-Dual Accelerated Dual Averaging for Nonsmooth Convex Finite-Sums.
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
2020
IEEE/ACM Trans. Netw., 2020
J. Mach. Learn. Res., 2020
Halpern Iteration for Near-Optimal and Parameter-Free Monotone Inclusion and Strong Solutions to Variational Inequalities.
Proceedings of the Conference on Learning Theory, 2020
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020
2019
SIAM J. Optim., 2019
Conjugate Gradients and Accelerated Methods Unified: The Approximate Duality Gap View.
CoRR, 2019
Proceedings of the 2019 IEEE International Conference on Communications, 2019
2018
IEEE/ACM Trans. Netw., 2018
Width-Independence Beyond Linear Objectives: Distributed Fair Packing and Covering Algorithms.
CoRR, 2018
Proceedings of the 9th Innovations in Theoretical Computer Science Conference, 2018
Proceedings of the 35th International Conference on Machine Learning, 2018
Proceedings of the 35th International Conference on Machine Learning, 2018
Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018
2017
IEEE/ACM Trans. Netw., 2017
Solving Packing and Covering LPs in Õ(1/ε<sup>2</sup>) Distributed Iterations with a Single Algorithm and Simpler Analysis.
CoRR, 2017
Max-min Fair Rate Allocation and Routing in Energy Harvesting Networks: Algorithmic Analysis.
Algorithmica, 2017
Demo abstract: Full-duplex with a compact frequency domain equalization-based RF canceller.
Proceedings of the 2017 IEEE Conference on Computer Communications Workshops, 2017
2016
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.
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.
Proceedings of the 3rd Workshop on Hot Topics in Wireless, 2016
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.
Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016
2015
2013
Proceedings of the 2013 Second GENI Research and Educational Experiment Workshop, 2013