A First-Order Primal-Dual Algorithm with Linesearch. - Yura Malitsky; Thomas Pock (SIAM J. Optim., 2018)

Model Function Based Conditional Gradient Method with Armijo-like Line Search. - Peter Ochs; Yura Malitsky (ICML, 2019)

Revisiting Stochastic Extragradient. - Konstantin Mishchenko; Dmitry Kovalev; Egor Shulgin; Peter Richtárik; Yura Malitsky (AISTATS, 2020)

A new regret analysis for Adam-type algorithms. - Ahmet Alacaoglu; Yura Malitsky; Panayotis Mertikopoulos; Volkan Cevher (ICML, 2020)

Adaptive Gradient Descent without Descent. - Yura Malitsky; Konstantin Mishchenko (ICML, 2020)

Convergence of adaptive algorithms for weakly convex constrained optimization. - Ahmet Alacaoglu; Yura Malitsky; Volkan Cevher (CoRR, 2020)

Golden ratio algorithms for variational inequalities. - Yura Malitsky (Math. Program., 2020)

A Forward-Backward Splitting Method for Monotone Inclusions Without Cocoercivity. - Yura Malitsky; Matthew K. Tam (SIAM J. Optim., 2020)

Convergence of adaptive algorithms for constrained weakly convex optimization. - Ahmet Alacaoglu; Yura Malitsky; Volkan Cevher (NeurIPS, 2021)

A first-order primal-dual method with adaptivity to local smoothness. - Maria-Luiza Vladarean; Yura Malitsky; Volkan Cevher (NeurIPS, 2021)

Forward-reflected-backward method with variance reduction. - Ahmet Alacaoglu; Yura Malitsky; Volkan Cevher (Comput. Optim. Appl., 2021)

Distributed Forward-Backward Methods without Central Coordination. - Francisco J. Aragón Artacho; Yura Malitsky; Matthew K. Tam; David Torregrosa-Belén (CoRR, 2021)

Stochastic Variance Reduction for Variational Inequality Methods. - Ahmet Alacaoglu; Yura Malitsky (COLT, 2022)

Over-the-Air Computation with Multiple Receivers: A Space-Time Approach. - Zheng Chen; Yura Malitsky (CoRR, 2022)

A First-Order Algorithm for Decentralised Min-Max Problems. - Yura Malitsky; Matthew K. Tam (CoRR, 2023)

Beyond the Golden Ratio for Variational Inequality Algorithms. - Ahmet Alacaoglu; Axel Böhm; Yura Malitsky (J. Mach. Learn. Res., 2023)

Resolvent splitting for sums of monotone operators with minimal lifting. - Yura Malitsky; Matthew K. Tam (Math. Program., 2023)

Over-the-Air Computation With Multiple Receivers: A Space-Time Approach. - Zheng Chen 002; Yura Malitsky (IEEE Wirel. Commun. Lett., 2023)

Over-the-Air Computation for Distributed Systems: Something Old and Something New. - Zheng Chen 002; Erik G. Larsson; Carlo Fischione; Mikael Johansson 001; Yura Malitsky (IEEE Netw., 2023)

Distributed forward-backward methods for ring networks. - Francisco J. Aragón Artacho; Yura Malitsky; Matthew K. Tam; David Torregrosa-Belén (Comput. Optim. Appl., 2023)

Adaptive Proximal Gradient Method for Convex Optimization. - Yura Malitsky; Konstantin Mishchenko (NeurIPS, 2024)

Towards Weaker Variance Assumptions for Stochastic Optimization. - Ahmet Alacaoglu; Yura Malitsky; Stephen J. Wright 001 (CoRR, 2025)

Entropic Mirror Descent for Linear Systems: Polyak's Stepsize and Implicit Bias. - Yura Malitsky; Alexander Posch (CoRR, 2025)