Kotelevskii, Nikita

7 publications

ICLR 2025 From Risk to Uncertainty: Generating Predictive Uncertainty Measures via Bayesian Estimation Nikita Kotelevskii, Vladimir Kondratyev, Martin Takáč, Eric Moulines, Maxim Panov

IJCAI 2024 Dirichlet-Based Uncertainty Quantification for Personalized Federated Learning with Improved Posterior Networks Nikita Kotelevskii, Samuel Horváth, Karthik Nandakumar, Martin Takác, Maxim Panov

AISTATS 2024 Efficient Conformal Prediction Under Data Heterogeneity Vincent Plassier, Nikita Kotelevskii, Aleksandr Rubashevskii, Fedor Noskov, Maksim Velikanov, Alexander Fishkov, Samuel Horvath, Martin Takac, Eric Moulines, Maxim Panov

ICMLW 2024 Predictive Uncertainties Based on Proper Scoring Rules Nikita Kotelevskii, Maxim Panov

NeurIPS 2022 FedPop: A Bayesian Approach for Personalised Federated Learning Nikita Kotelevskii, Maxime Vono, Alain Durmus, Eric Moulines

NeurIPS 2022 Nonparametric Uncertainty Quantification for Single Deterministic Neural Network Nikita Kotelevskii, Aleksandr Artemenkov, Kirill Fedyanin, Fedor Noskov, Alexander Fishkov, Artem Shelmanov, Artem Vazhentsev, Aleksandr Petiushko, Maxim Panov

ICML 2021 Monte Carlo Variational Auto-Encoders Achille Thin, Nikita Kotelevskii, Arnaud Doucet, Alain Durmus, Eric Moulines, Maxim Panov