Alex Olshevsky
11 papers · 2020–2025 · 5 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π Conference Polyglot (5) π Academic Marathon (5) π Cross-Pollinator (8) π Renaissance Researcher (5)
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Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(20)
π§
Keyword Pioneer
π
Century Club
(11)
Conferences
JMLR (4)
NIPS (3)
ICML (2)
AISTATS (1)
ICLR (1)
Top co-authors
Research topics
Keywords
distributed optimization
(3)
matrix completion
(2)
rank-one matrix
(2)
gradient descent
(2)
convergence analysis
(1)
sample complexity
(1)
temporal difference learning
(1)
markov decision process
(1)
parameter estimation
(1)
discount factor
(1)
parallel optimization
(1)
value function approximation
(1)
communication efficiency
(1)
alternating minimization
(1)
linear quadratic regulator
(1)
distributed learning
(1)
adversarial robustness
(1)
bradley-terry-luce model
(1)
pairwise comparison
(1)
stochastic gradient descent
(1)
Papers
Sample Complexity of the Linear Quadratic Regulator: A Reinforcement Learning Lens
JMLR 2025
MDP Geometry, Normalization and Reward Balancing Solvers
AISTATS 2025
Convergence of Actor-Critic with Multi-Layer Neural Networks
NIPS 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
NIPS 2021
Temporal Difference Learning as Gradient Splitting
ICML 2021
Minimax Rate for Learning From Pairwise Comparisons in the BTL Model
ICML 2020
Adversarial Crowdsourcing Through Robust Rank-One Matrix Completion
NIPS 2020
Robust Asynchronous Stochastic Gradient-Push: Asymptotically Optimal and Network-Independent Performance for Strongly Convex Functions
JMLR 2020
Gradient Descent for Sparse Rank-One Matrix Completion for Crowd-Sourced Aggregation of Sparsely Interacting Workers
JMLR 2020