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Daniil Tiapkin
Daniil Tiapkin
Other namesDaniil Tyapkin, Daniil Nikolaevich Tyapkin
Verified email at polytechnique.edu - Homepage
Title
Cited by
Cited by
Year
Improved complexity bounds in wasserstein barycenter problem
D Dvinskikh, D Tiapkin
International Conference on Artificial Intelligence and Statistics, 1738-1746, 2021
262021
From Dirichlet to Rubin: Optimistic Exploration in RL without Bonuses
D Tiapkin, D Belomestny, E Moulines, A Naumov, S Samsonov, Y Tang, ...
International Conference on Machine Learning, 21380-21431, 2022
132022
Stochastic saddle-point optimization for the Wasserstein barycenter problem
D Tiapkin, A Gasnikov, P Dvurechensky
Optimization Letters 16 (7), 2145-2175, 2022
10*2022
Optimistic Posterior Sampling for Reinforcement Learning with Few Samples and Tight Guarantees
D Tiapkin, D Belomestny, D Calandriello, E Moulines, R Munos, ...
Neural Information Processing Systems, 2022
72022
Primal-Dual Stochastic Mirror Descent for MDPs
D Tiapkin, A Gasnikov
International Conference on Artificial Intelligence and Statistics, 9723-9740, 2022
72022
Fast Rates for Maximum Entropy Exploration
D Tiapkin, D Belomestny, D Calandriello, E Moulines, R Munos, ...
International Conference on Machine Learning, 2023
52023
Generative Flow Networks as Entropy-Regularized RL
D Tiapkin, N Morozov, A Naumov, D Vetrov
arXiv preprint arXiv:2310.12934, 2023
32023
Orthogonal Directions Constrained Gradient Method: from non-linear equality constraints to Stiefel manifold
S Schechtman, D Tiapkin, M Muehlebach, E Moulines
arXiv preprint arXiv:2303.09261, 2023
32023
Demonstration-Regularized RL
D Tiapkin, D Belomestny, D Calandriello, E Moulines, A Naumov, ...
arXiv preprint arXiv:2310.17303, 2023
22023
First-Order Constrained Optimization: Non-smooth Dynamical System Viewpoint
S Schechtman, D Tiapkin, E Moulines, MI Jordan, M Muehlebach
IFAC-PapersOnLine 55 (16), 236-241, 2022
22022
Finite-Sample Analysis of the Temporal Difference Learning
S Samsonov, D Tiapkin, A Naumov, E Moulines
arXiv preprint arXiv:2310.14286, 2023
12023
Model-free Posterior Sampling via Learning Rate Randomization
D Tiapkin, D Belomestny, D Calandriello, E Moulines, R Munos, ...
Advances in Neural Information Processing Systems 36, 2024
2024
On the structure of the set of panchromatic colorings of a random hypergraph
DN Tyapkin, DA Shabanov
Doklady Mathematics 108 (1), 286-290, 2023
2023
Sharp Deviations Bounds for Dirichlet Weighted Sums with Application to analysis of Bayesian algorithms
D Belomestny, P Menard, A Naumov, D Tiapkin, M Valko
arXiv preprint arXiv:2304.03056, 2023
2023
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