Yura Malitsky

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 29

Top Topics

Adaptive Algorithms

Top Venues

Publications

Yura Malitsky, Matthew K. Tam
A First-Order Algorithm for Decentralised Min-Max Problems. CoRR (2023)
Yura Malitsky, Konstantin Mishchenko
Adaptive Proximal Gradient Method for Convex Optimization. CoRR (2023)
Francisco J. Aragón Artacho, Yura Malitsky, Matthew K. Tam, David Torregrosa-Belén
Distributed forward-backward methods for ring networks. Comput. Optim. Appl. 86 (3) (2023)
Ahmet Alacaoglu, Axel Böhm, Yura Malitsky
Beyond the Golden Ratio for Variational Inequality Algorithms. J. Mach. Learn. Res. 24 (2023)
Zheng Chen, Yura Malitsky
Over-the-Air Computation With Multiple Receivers: A Space-Time Approach. IEEE Wirel. Commun. Lett. 12 (8) (2023)
Yura Malitsky, Matthew K. Tam
Resolvent splitting for sums of monotone operators with minimal lifting. Math. Program. 201 (1) (2023)
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) (2023)
Zheng Chen, Yura Malitsky
Over-the-Air Computation with Multiple Receivers: A Space-Time Approach. CoRR (2022)
Ahmet Alacaoglu, Yura Malitsky
Stochastic Variance Reduction for Variational Inequality Methods. COLT (2022)
Zheng Chen, Erik G. Larsson, Carlo Fischione, Mikael Johansson, Yura Malitsky
Over-the-Air Computation for Distributed Systems: Something Old and Something New. CoRR (2022)
Ahmet Alacaoglu, Axel Böhm, Yura Malitsky
Beyond the Golden Ratio for Variational Inequality Algorithms. CoRR (2022)
Ahmet Alacaoglu, Yura Malitsky, Volkan Cevher
Convergence of adaptive algorithms for constrained weakly convex optimization. NeurIPS (2021)
Ahmet Alacaoglu, Yura Malitsky, Volkan Cevher
Forward-reflected-backward method with variance reduction. Comput. Optim. Appl. 80 (2) (2021)
Maria-Luiza Vladarean, Yura Malitsky, Volkan Cevher
A first-order primal-dual method with adaptivity to local smoothness. CoRR (2021)
Ahmet Alacaoglu, Yura Malitsky
Stochastic Variance Reduction for Variational Inequality Methods. CoRR (2021)
Francisco J. Aragón Artacho, Yura Malitsky, Matthew K. Tam, David Torregrosa-Belén
Distributed Forward-Backward Methods without Central Coordination. CoRR (2021)
Maria-Luiza Vladarean, Yura Malitsky, Volkan Cevher
A first-order primal-dual method with adaptivity to local smoothness. NeurIPS (2021)
Yura Malitsky, Konstantin Mishchenko
Adaptive Gradient Descent without Descent. ICML (2020)
Yura Malitsky
Golden ratio algorithms for variational inequalities. Math. Program. 184 (1) (2020)
Ahmet Alacaoglu, Yura Malitsky, Panayotis Mertikopoulos, Volkan Cevher
A new regret analysis for Adam-type algorithms. CoRR (2020)
Ahmet Alacaoglu, Yura Malitsky, Volkan Cevher
Convergence of adaptive algorithms for weakly convex constrained optimization. CoRR (2020)
Yura Malitsky, Matthew K. Tam
A Forward-Backward Splitting Method for Monotone Inclusions Without Cocoercivity. SIAM J. Optim. 30 (2) (2020)
Ahmet Alacaoglu, Yura Malitsky, Panayotis Mertikopoulos, Volkan Cevher
A new regret analysis for Adam-type algorithms. ICML (2020)
Konstantin Mishchenko, Dmitry Kovalev, Egor Shulgin, Peter Richtárik, Yura Malitsky
Revisiting Stochastic Extragradient. AISTATS (2020)
Yura Malitsky, Peter Ochs
Model Function Based Conditional Gradient Method with Armijo-like Line Search. CoRR (2019)
Konstantin Mishchenko, Dmitry Kovalev, Egor Shulgin, Peter Richtárik, Yura Malitsky
Revisiting Stochastic Extragradient. CoRR (2019)
Yura Malitsky, Konstantin Mishchenko
Adaptive gradient descent without descent. CoRR (2019)
Peter Ochs, Yura Malitsky
Model Function Based Conditional Gradient Method with Armijo-like Line Search. ICML (2019)
Yura Malitsky, Thomas Pock
A First-Order Primal-Dual Algorithm with Linesearch. SIAM J. Optim. 28 (1) (2018)