Yura Malitsky

1. Golden ratio algorithms for variational inequalities
   2019/07/31 by Yura Malitsky · 20 citations
   Computer Science · Mathematics · Engineering · #Optimization and Variational Analysis #Advanced Optimization Algorithms Research #Sparse and Compressive Sensing Techniques
2. 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
3. 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
4. A First-Order Algorithm for Decentralised Min-Max Problems
   2023/08/23 by Yura Malitsky, Matthew K. Tam, Malitsky, Yura +1 · 3 citations
   Computer Science · Materials Science · #Distributed Control Multi-Agent Systems #Stochastic Gradient Optimization Techniques #Nanocluster Synthesis and Applications
5. 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
6. Model Function Based Conditional Gradient Method with Armijo-like Line Search
   2019/01/23 by Yura Malitsky, Peter Ochs, Malitsky, Yura +1 · 1 citation
   Computer Science · Engineering · Mathematics · #Advanced Optimization Algorithms Research #Advanced Vision and Imaging #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Optimization and Control (math.OC) #Sparse and Compressive Sensing Techniques
7. 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