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2020 – today
- 2023
[j9]Francisco J. Aragón Artacho, Yura Malitsky, Matthew K. Tam, David Torregrosa-Belén
:
Distributed forward-backward methods for ring networks. Comput. Optim. Appl. 86(3): 845-870 (2023)- [j8]Ahmet Alacaoglu, Axel Böhm, Yura Malitsky:
Beyond the Golden Ratio for Variational Inequality Algorithms. J. Mach. Learn. Res. 24: 172:1-172:33 (2023) - [j7]Yura Malitsky, Matthew K. Tam:
Resolvent splitting for sums of monotone operators with minimal lifting. Math. Program. 201(1): 231-262 (2023) - [j6]Zheng Chen, Erik G. Larsson, Carlo Fischione, Mikael Johansson, Yura Malitsky:
Over-the-Air Computation for Distributed Systems: Something Old and Something New. IEEE Netw. 37(5): 240-246 (2023) - [j5]Zheng Chen, Yura Malitsky:
Over-the-Air Computation With Multiple Receivers: A Space-Time Approach. IEEE Wirel. Commun. Lett. 12(8): 1399-1403 (2023) - [i13]Yura Malitsky, Konstantin Mishchenko:
Adaptive Proximal Gradient Method for Convex Optimization. CoRR abs/2308.02261 (2023) - [i12]Yura Malitsky, Matthew K. Tam:
A First-Order Algorithm for Decentralised Min-Max Problems. CoRR abs/2308.11876 (2023) - 2022
- [c7]Ahmet Alacaoglu, Yura Malitsky:
Stochastic Variance Reduction for Variational Inequality Methods. COLT 2022: 778-816 - [i11]Zheng Chen, Yura Malitsky:
Over-the-Air Computation with Multiple Receivers: A Space-Time Approach. CoRR abs/2208.11751 (2022) - [i10]Zheng Chen, Erik G. Larsson, Carlo Fischione, Mikael Johansson, Yura Malitsky:
Over-the-Air Computation for Distributed Systems: Something Old and Something New. CoRR abs/2211.00767 (2022) - [i9]Ahmet Alacaoglu, Axel Böhm, Yura Malitsky:
Beyond the Golden Ratio for Variational Inequality Algorithms. CoRR abs/2212.13955 (2022) - 2021
- [j4]Ahmet Alacaoglu, Yura Malitsky, Volkan Cevher:
Forward-reflected-backward method with variance reduction. Comput. Optim. Appl. 80(2): 321-346 (2021) - [c6]Maria-Luiza Vladarean, Yura Malitsky, Volkan Cevher:
A first-order primal-dual method with adaptivity to local smoothness. NeurIPS 2021: 6171-6182 - [c5]Ahmet Alacaoglu, Yura Malitsky, Volkan Cevher:
Convergence of adaptive algorithms for constrained weakly convex optimization. NeurIPS 2021: 14214-14225 - [i8]Ahmet Alacaoglu, Yura Malitsky:
Stochastic Variance Reduction for Variational Inequality Methods. CoRR abs/2102.08352 (2021) - [i7]Maria-Luiza Vladarean, Yura Malitsky, Volkan Cevher:
A first-order primal-dual method with adaptivity to local smoothness. CoRR abs/2110.15148 (2021) - [i6]Francisco J. Aragón Artacho, Yura Malitsky, Matthew K. Tam, David Torregrosa-Belén:
Distributed Forward-Backward Methods without Central Coordination. CoRR abs/2112.00274 (2021) - 2020
- [j3]Yura Malitsky:
Golden ratio algorithms for variational inequalities. Math. Program. 184(1): 383-410 (2020) - [j2]Yura Malitsky, Matthew K. Tam:
A Forward-Backward Splitting Method for Monotone Inclusions Without Cocoercivity. SIAM J. Optim. 30(2): 1451-1472 (2020) - [c4]Konstantin Mishchenko, Dmitry Kovalev, Egor Shulgin, Peter Richtárik, Yura Malitsky:
Revisiting Stochastic Extragradient. AISTATS 2020: 4573-4582 - [c3]Ahmet Alacaoglu, Yura Malitsky, Panayotis Mertikopoulos, Volkan Cevher:
A new regret analysis for Adam-type algorithms. ICML 2020: 202-210 - [c2]Yura Malitsky, Konstantin Mishchenko:
Adaptive Gradient Descent without Descent. ICML 2020: 6702-6712 - [i5]Ahmet Alacaoglu, Yura Malitsky, Panayotis Mertikopoulos, Volkan Cevher:
A new regret analysis for Adam-type algorithms. CoRR abs/2003.09729 (2020) - [i4]Ahmet Alacaoglu, Yura Malitsky, Volkan Cevher:
Convergence of adaptive algorithms for weakly convex constrained optimization. CoRR abs/2006.06650 (2020)
2010 – 2019
- 2019
- [c1]Peter Ochs, Yura Malitsky:
Model Function Based Conditional Gradient Method with Armijo-like Line Search. ICML 2019: 4891-4900 - [i3]Yura Malitsky, Peter Ochs:
Model Function Based Conditional Gradient Method with Armijo-like Line Search. CoRR abs/1901.08087 (2019) - [i2]Konstantin Mishchenko, Dmitry Kovalev, Egor Shulgin, Peter Richtárik, Yura Malitsky:
Revisiting Stochastic Extragradient. CoRR abs/1905.11373 (2019) - [i1]Yura Malitsky, Konstantin Mishchenko:
Adaptive gradient descent without descent. CoRR abs/1910.09529 (2019) - 2018
- [j1]Yura Malitsky, Thomas Pock:
A First-Order Primal-Dual Algorithm with Linesearch. SIAM J. Optim. 28(1): 411-432 (2018)
Coauthor Index
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