Alex Olshevsky
11 papers · 2020–2025 · 5 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (23) 🐣 Hot Topic Early Bird
💎
Century Club · Bronze
Top co-authors
Research topics
Machine Learning
(11)
Optimization & Theory
(10)
Reinforcement Learning
(4)
Mathematics & Optimization
(3)
Learning Types
(3)
Methods
(3)
Optimization
(2)
Artificial Intelligence
(1)
Data Science & Analytics
(1)
Deep Learning
(1)
Application Areas
(1)
Applications · Reinforcement Learning
(1)
Applications · Data Science & Analytics
(1)
Architectures
(1)
Core AI
(1)
Keywords
distributed optimization
(3)
matrix completion
(2)
neural network
(2)
gradient descent
(2)
markov decision process
(2)
temporal difference learning
(2)
rank-one matrix
(2)
sample complexity
(2)
parameter estimation
(1)
adversarial robustness
(1)
stochastic gradient descent
(1)
distributed learning
(1)
discount factor
(1)
value function
(1)
linear quadratic regulator
(1)
policy evaluation
(1)
alternating minimization
(1)
convergence analysis
(1)
value function approximation
(1)
function approximation
(1)
Papers
MDP Geometry, Normalization and Reward Balancing Solvers
AISTATS 2025
Sample Complexity of the Linear Quadratic Regulator: A Reinforcement Learning Lens
JMLR 2025
Convergence of Actor-Critic with Multi-Layer Neural Networks
NeurIPS 2023
On the Performance of Temporal Difference Learning With Neural Networks
ICLR 2023
Asymptotic Network Independence and Step-Size for a Distributed Subgradient Method
JMLR 2022
Communication-efficient SGD: From Local SGD to One-Shot Averaging
NeurIPS 2021
Temporal Difference Learning as Gradient Splitting
ICML 2021
Adversarial Crowdsourcing Through Robust Rank-One Matrix Completion
NeurIPS 2020
Gradient Descent for Sparse Rank-One Matrix Completion for Crowd-Sourced Aggregation of Sparsely Interacting Workers
JMLR 2020
Minimax Rate for Learning From Pairwise Comparisons in the BTL Model
ICML 2020
Robust Asynchronous Stochastic Gradient-Push: Asymptotically Optimal and Network-Independent Performance for Strongly Convex Functions
JMLR 2020