MSc in Computer Science 2021-2023: HSE University, specialization: Math of Machine Learning
BSc in Computer Science 2017-2021: HSE Unversity, specialization: Theoretical Computer Science
RESEARCH INTERESTS
Reinforcement learning, stochastic optimization
407
Scholar Citations
11
Scholar h-index
13
Scholar i10-index
RECENT SCHOLAR PUBLICATIONS
Learning Shortest Paths with Generative Flow Networks N Morozov, I Maksimov, D Tiapkin, S Samsonov arXiv preprint arXiv:2603.01786 , 2026 2026 Citations: 1
Beyond Softmax and Entropy: Convergence Rates of Policy Gradients with -SoftArgmax Parameterization Coupled Regularization S Labbi, D Tiapkin, P Mangold, E Moulines The Fourteenth International Conference on Learning Representations , 2026 2026 Citations: 1
On Global Convergence Rates for Federated Softmax Policy Gradient under Heterogeneous Environments S Labbi, P Mangold, D Tiapkin, E Moulines The 29th International Conference on Artificial Intelligence and Statistics , 2026 2026 Citations: 5
gfnx: Fast and Scalable Library for Generative Flow Networks in JAX D Tiapkin, A Agarkov, N Morozov, I Maksimov, A Tsyganov, T Gritsaev, ... arXiv preprint arXiv:2511.16592 , 2025 2025 Citations: 2
Sample-Efficient Reinforcement Learning: Exploration, Imitation, and Online Learning D Tiapkin Institut polytechnique de Paris , 2025 2025
Adaptive Destruction Processes for Diffusion Samplers T Gritsaev, N Morozov, K Tamogashev, D Tiapkin, S Samsonov, ... arXiv preprint arXiv:2506.01541 , 2025 2025 Citations: 6
Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean-Field Games A Ocello, D Tiapkin, L Mancini, M Lauriere, E Moulines arXiv preprint arXiv:2505.22781 , 2025 2025 Citations: 3
Proximal Point Nash Learning from Human Feedback D Tiapkin, D Calandriello, D Belomestny, E Moulines, A Naumov, K Rasul, ... arXiv preprint arXiv:2505.19731v2 , 2025 2025 Citations: 8
Optimizing backward policies in GFlownets via trajectory likelihood maximization T Gritsaev, N Morozov, S Samsonov, D Tiapkin International Conference on Learning Representations 2025, 98281-98301 , 2025 2025 Citations: 6
Revisiting Non-Acyclic GFlowNets in Discrete Environments N Morozov, I Maksimov, D Tiapkin, S Samsonov arXiv preprint arXiv:2502.07735 , 2025 2025 Citations: 9
On Teacher Hacking in Language Model Distillation D Tiapkin, D Calandriello, J Ferret, S Perrin, N Vieillard, A Ramé, ... arXiv preprint arXiv:2502.02671 , 2025 2025 Citations: 6
Federated UCBVI: Communication-Efficient Federated Regret Minimization with Heterogeneous Agents S Labbi, D Tiapkin, L Mancini, P Mangold, E Moulines arXiv preprint arXiv:2410.22908 , 2024 2024 Citations: 7
A New Bound on the Cumulant Generating Function of Dirichlet Processes P Perrault, D Belomestny, P Ménard, É Moulines, A Naumov, D Tiapkin, ... arXiv preprint arXiv:2409.18621 , 2024 2024 Citations: 2
Narrowing the Gap between Adversarial and Stochastic MDPs via Policy Optimization D Tiapkin, E Chzhen, G Stoltz arXiv preprint arXiv:2407.05704 , 2024 2024 Citations: 3
Improved High-Probability Bounds for the Temporal Difference Learning Algorithm via Exponential Stability S Samsonov, D Tiapkin, A Naumov, E Moulines The Thirty Seventh Annual Conference on Learning Theory, 4511-4547 , 2024 2024 Citations: 29
Improving GFlowNets with Monte Carlo Tree Search N Morozov, D Tiapkin, S Samsonov, A Naumov, D Vetrov arXiv preprint arXiv:2406.13655 , 2024 2024 Citations: 11
Incentivized Learning in Principal-Agent Bandit Games A Scheid, D Tiapkin, E Boursier, A Capitaine, EME Mhamdi, É Moulines, ... arXiv preprint arXiv:2403.03811 , 2024 2024 Citations: 23
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, 73719-73774 , 2023 2023 Citations: 10
Demonstration-Regularized RL D Tiapkin, D Belomestny, D Calandriello, E Moulines, A Naumov, ... ICLR-2024 , 2023 2023 Citations: 18
Generative Flow Networks as Entropy-Regularized RL D Tiapkin, N Morozov, A Naumov, D Vetrov AISTATS-2024 , 2023 2023 Citations: 62
MOST CITED SCHOLAR PUBLICATIONS
Generative Flow Networks as Entropy-Regularized RL D Tiapkin, N Morozov, A Naumov, D Vetrov AISTATS-2024 , 2023 2023 Citations: 62
Fast Rates for Maximum Entropy Exploration D Tiapkin, D Belomestny, D Calandriello, E Moulines, R Munos, ... International Conference on Machine Learning , 2023 2023 Citations: 47
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 2022 Citations: 31
Improved High-Probability Bounds for the Temporal Difference Learning Algorithm via Exponential Stability S Samsonov, D Tiapkin, A Naumov, E Moulines The Thirty Seventh Annual Conference on Learning Theory, 4511-4547 , 2024 2024 Citations: 29
Improved complexity bounds in wasserstein barycenter problem D Dvinskikh, D Tiapkin International Conference on Artificial Intelligence and Statistics, 1738-1746 , 2021 2021 Citations: 28
Orthogonal Directions Constrained Gradient Method: from non-linear equality constraints to Stiefel manifold S Schechtman, D Tiapkin, M Muehlebach, E Moulines The Thirty Sixth Annual Conference on Learning Theory, 1228-1258 , 2023 2023 Citations: 26
Incentivized Learning in Principal-Agent Bandit Games A Scheid, D Tiapkin, E Boursier, A Capitaine, EME Mhamdi, É Moulines, ... arXiv preprint arXiv:2403.03811 , 2024 2024 Citations: 23
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 2022 Citations: 20
Demonstration-Regularized RL D Tiapkin, D Belomestny, D Calandriello, E Moulines, A Naumov, ... ICLR-2024 , 2023 2023 Citations: 18
Primal-Dual Stochastic Mirror Descent for MDPs D Tiapkin, A Gasnikov International Conference on Artificial Intelligence and Statistics, 9723-9740 , 2022 2022 Citations: 18
Stochastic saddle-point optimization for the Wasserstein barycenter problem D Tiapkin, A Gasnikov, P Dvurechensky Optimization Letters 16 (7), 2145-2175 , 2022 2022 Citations: 15
Improving GFlowNets with Monte Carlo Tree Search N Morozov, D Tiapkin, S Samsonov, A Naumov, D Vetrov arXiv preprint arXiv:2406.13655 , 2024 2024 Citations: 11
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, 73719-73774 , 2023 2023 Citations: 10
Revisiting Non-Acyclic GFlowNets in Discrete Environments N Morozov, I Maksimov, D Tiapkin, S Samsonov arXiv preprint arXiv:2502.07735 , 2025 2025 Citations: 9
Proximal Point Nash Learning from Human Feedback D Tiapkin, D Calandriello, D Belomestny, E Moulines, A Naumov, K Rasul, ... arXiv preprint arXiv:2505.19731v2 , 2025 2025 Citations: 8
Federated UCBVI: Communication-Efficient Federated Regret Minimization with Heterogeneous Agents S Labbi, D Tiapkin, L Mancini, P Mangold, E Moulines arXiv preprint arXiv:2410.22908 , 2024 2024 Citations: 7
Adaptive Destruction Processes for Diffusion Samplers T Gritsaev, N Morozov, K Tamogashev, D Tiapkin, S Samsonov, ... arXiv preprint arXiv:2506.01541 , 2025 2025 Citations: 6
Optimizing backward policies in GFlownets via trajectory likelihood maximization T Gritsaev, N Morozov, S Samsonov, D Tiapkin International Conference on Learning Representations 2025, 98281-98301 , 2025 2025 Citations: 6
On Teacher Hacking in Language Model Distillation D Tiapkin, D Calandriello, J Ferret, S Perrin, N Vieillard, A Ramé, ... arXiv preprint arXiv:2502.02671 , 2025 2025 Citations: 6
On Global Convergence Rates for Federated Softmax Policy Gradient under Heterogeneous Environments S Labbi, P Mangold, D Tiapkin, E Moulines The 29th International Conference on Artificial Intelligence and Statistics , 2026 2026 Citations: 5
