Vladimir Solodkin

4 papers · 2024–2026 · 4 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

Jump to papers ↓

🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (10)

Venues

AAAI (1) ACL (1) AISTATS (1) UAI (1)

Top co-authors

Aleksandr Beznosikov (4) Andrey Veprikov (3) Ruslan Nazykov (1) Gauthier Gidel (1) Alexander Chernyavskiy (1) Zyl Alexander (1) Alexander Gasnikov (1) Mikhail Rudakov (1) Andrey Savchenko (1) Petr Babkin (1)

Research topics

Machine Learning (3) Optimization & Theory · Machine Learning (3) Mathematics & Optimization (2) Optimization (2) Deep Learning (1) Reinforcement Learning (1) Applications (1) Learning Types (1) Optimization & Theory · Deep Learning (1)

Keywords

markov chain (2) stochastic optimization (2) non-convex optimization (1) variational inequality (1) convergence analysis (1) distributed optimization (1) constrained optimization (1) variance reduction (1) mirror descent (1) conditional gradient (1) convergence guarantee (1) gradient compression (1) parameter-efficient fine-tuning (1) low-rank adaptation (1) frank-wolfe method (1) frank-wolfe algorithm (1) non-euclidean geometry (1) adaptive head selection (1) stochastic gradient descent (1)

Papers

Markovian Compression: Looking to the Past Helps Accelerate the Future UAI 2026 Methods for Optimization Problems with Markovian Stochasticity and Non-Euclidean Geometry AAAI 2026 WeightLoRA: Keep Only Necessary Adapters ACL 2026 Stochastic Frank-Wolfe: Unified Analysis and Zoo of Special Cases AISTATS 2024