Denis Belomestny
8 papers · 2022–2026 · 5 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Silver
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(16)
🔥
Unstoppable · Bronze
Venues
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Research topics
Keywords
markov decision process
(2)
bayesian inference
(2)
sample complexity
(2)
reinforcement learning
(2)
posterior sampling
(2)
regret bound
(2)
convergence rate
(2)
bayesian reinforcement learning
(1)
density estimation
(1)
dirichlet process
(1)
behavior cloning
(1)
mean squared error
(1)
regret minimization
(1)
nonparametric estimation
(1)
minimax optimality
(1)
optimistic exploration
(1)
excess risk
(1)
kl regularization
(1)
markov chain
(1)
optimal transport
(1)
Papers
Approximation Rates for Schrödinger Bridge Potentials via Fixed-Point ERM
UAI 2026
Nonasymptotic Analysis of Stochastic Gradient Descent with the Richardson–Romberg Extrapolation
ICLR 2025
Demonstration-Regularized RL
ICLR 2024
Rates of convergence for density estimation with generative adversarial networks
JMLR 2024
Fast Rates for Maximum Entropy Exploration
ICML 2023
Model-free Posterior Sampling via Learning Rate Randomization
NeurIPS 2023
From Dirichlet to Rubin: Optimistic Exploration in RL without Bonuses
ICML 2022
Optimistic Posterior Sampling for Reinforcement Learning with Few Samples and Tight Guarantees
NeurIPS 2022