Peter Glynn
8 papers · 2018–2025 · 5 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (21) π Interdisciplinary Bridge π§ Keyword Pioneer π£ Hot Topic Early Bird π Conference Polyglot (5)
π
Academic Marathon
(7)
π
Cross-Pollinator
(8)
β
The Questioner
Conferences
ICML (3)
NIPS (2)
AISTATS (1)
ALT (1)
ICLR (1)
Top co-authors
Keywords
neural network
(2)
stochastic optimization
(1)
reinforcement learning
(1)
stochastic gradient descent
(1)
offline reinforcement learning
(1)
variational inference
(1)
optimal transport
(1)
convergence analysis
(1)
sample complexity
(1)
markov chain monte carlo
(1)
markov chain
(1)
stochastic process
(1)
high-dimensional optimization
(1)
probability measure
(1)
distributionally robust optimization
(1)
regret bound
(1)
convergence rate
(1)
heavy-tailed distribution
(1)
neural network solver
(1)
stochastic differential equation
(1)
Papers
Tightening Causal Bounds via Covariate-Aware Optimal Transport
ICML 2025
An Efficient High-dimensional Gradient Estimator for Stochastic Differential Equations
NIPS 2024
Optimal Sample Complexity for Average Reward Markov Decision Processes
ICLR 2024
Deep Learning for Computing Convergence Rates of Markov Chains
NIPS 2024
Finite-Sample Regret Bound for Distributionally Robust Offline Tabular Reinforcement Learning
AISTATS 2021
Optimal $Ξ΄$-Correct Best-Arm Selection for Heavy-Tailed Distributions
ALT 2020
Probability Functional Descent: A Unifying Perspective on GANs, Variational Inference, and Reinforcement Learning
ICML 2019
Distributed Asynchronous Optimization with Unbounded Delays: How Slow Can You Go?
ICML 2018