Malitsky, Yura
- A Forward-Backward Splitting Method for Monotone Inclusions Without Cocoercivity
2018/08/13 by Malitsky, Yura, Tam, Matthew K. · 12 citations
#47H05 #47J20 #49M2 #65K15 #90C25 #FOS: Mathematics #Optimization and Control (math.OC)
- Golden Ratio Algorithms for Variational Inequalities
2018/03/23 by Malitsky, Yura · 11 citations
#47J20 #65K10 #65K15 #65Y20 #90C33 #FOS: Mathematics #Numerical Analysis (math.NA) #Optimization and Control (math.OC)
- Adaptive Proximal Gradient Method for Convex Optimization
2023/08/04 by Malitsky, Yura, Mishchenko, Konstantin · 19 citations
#FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Numerical Analysis (math.NA) #Optimization and Control (math.OC)
- Resolvent Splitting for Sums of Monotone Operators with Minimal Lifting
2021/08/06 by Yura Malitsky, Malitsky, Yura, Matthew K. Tam +1 · 6 citations
Computer Science · Mathematics · Engineering · #Optimization and Variational Analysis #Advanced Optimization Algorithms Research #Sparse and Compressive Sensing Techniques
- Stochastic Variance Reduction for Variational Inequality Methods
2021/02/16 by Ahmet Alacaoglu, Alacaoglu, Ahmet, Yura Malitsky +1 · 4 citations
Computer Science · Engineering · Mathematics · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods #Optimization and Control (math.OC) #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
- A new regret analysis for Adam-type algorithms
2020/03/21 by Alacaoglu, Ahmet, Malitsky, Yura, Mertikopoulos, Panayotis +1 · 3 citations
#FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC)
- Over-the-Air Computation for Distributed Systems: Something Old and Something New
2022/11/01 by Chen, Zheng, Larsson, Erik G., Fischione, Carlo +2 · 3 citations
#FOS: Computer and information sciences #FOS: Electrical engineering #Information Theory (cs.IT) #Networking and Internet Architecture (cs.NI) #Signal Processing (eess.SP) #electronic engineering #information engineering
- Distributed Forward-Backward Methods for Ring Networks
2021/12/01 by Aragón-Artacho, Francisco J., Malitsky, Yura, Tam, Matthew K. +1 · 2 citations
#Distributed #FOS: Computer and information sciences #FOS: Mathematics #Optimization and Control (math.OC) #Parallel #and Cluster Computing (cs.DC)
- A First-Order Algorithm for Decentralised Min-Max Problems
2023/08/23 by Yura Malitsky, Malitsky, Yura, Matthew K. Tam +1 · 3 citations
Computer Science · Materials Science · #Distributed Control Multi-Agent Systems #Stochastic Gradient Optimization Techniques #Nanocluster Synthesis and Applications
- Convergence of adaptive algorithms for weakly convex constrained\n optimization
2020/06/11 by Ahmet Alacaoglu, Yura Malitsky, Alacaoglu, Ahmet +3 · 2 citations
Computer Science · Engineering · #Stochastic Gradient Optimization Techniques #Sparse and Compressive Sensing Techniques #Optimization and Variational Analysis
- The primal-dual hybrid gradient method reduces to a primal method for linearly constrained optimization problems
2017/06/08 by Malitsky, Yura · 1 citation
#49M29 #65K10 #65Y20 #90C25 #FOS: Mathematics #Optimization and Control (math.OC)
- Model Function Based Conditional Gradient Method with Armijo-like Line Search
2019/01/23 by Malitsky, Yura, Ochs, Peter · 1 citation
#FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Optimization and Control (math.OC)
- Towards Weaker Variance Assumptions for Stochastic Optimization
2025/04/14 by Ahmet Alacaoglu, Yura Malitsky, Alacaoglu, Ahmet +3 · 4 citations
Decision Sciences · #Simulation Techniques and Applications
- A first-order primal-dual method with adaptivity to local smoothness
2021/10/28 by Vladarean, Maria-Luiza, Malitsky, Yura, Cevher, Volkan · 1 citation
#FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Optimization and Control (math.OC)