Nikita Kotelevskii

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 11

Top Topics

Monte Carlo Methods

Conformal Prediction

Top Venues

Publications

Vincent Plassier, Nikita Kotelevskii, Aleksandr Rubashevskii, Fedor Noskov, Maksim Velikanov, Alexander Fishkov, Samuel Horváth, Martin Takác, Eric Moulines, Maxim Panov
Efficient Conformal Prediction under Data Heterogeneity. AISTATS (2024)
Nikita Kotelevskii, Maxim Panov
Predictive Uncertainty Quantification via Risk Decompositions for Strictly Proper Scoring Rules. CoRR (2024)
Nikita Kotelevskii, Samuel Horváth, Karthik Nandakumar, Martin Takác, Maxim Panov
Dirichlet-based Uncertainty Quantification for Personalized Federated Learning with Improved Posterior Networks. CoRR (2023)
Vincent Plassier, Nikita Kotelevskii, Aleksandr Rubashevskii, Fedor Noskov, Maksim Velikanov, Alexander Fishkov, Samuel Horváth, Martin Takác, Eric Moulines, Maxim Panov
Efficient Conformal Prediction under Data Heterogeneity. CoRR (2023)
Nikita Kotelevskii, Maxime Vono, Eric Moulines, Alain Durmus
FedPop: A Bayesian Approach for Personalised Federated Learning. CoRR (2022)
Nikita Kotelevskii, Maxime Vono, Alain Durmus, Eric Moulines
FedPop: A Bayesian Approach for Personalised Federated Learning. NeurIPS (2022)
Nikita Kotelevskii, Aleksandr Artemenkov, Kirill Fedyanin, Fedor Noskov, Alexander Fishkov, Artem Shelmanov, Artem Vazhentsev, Aleksandr Petiushko, Maxim Panov
Nonparametric Uncertainty Quantification for Single Deterministic Neural Network. NeurIPS (2022)
Nikita Kotelevskii, Aleksandr Artemenkov, Kirill Fedyanin, Fedor Noskov, Alexander Fishkov, Aleksandr Petiushko, Maxim Panov
NUQ: Nonparametric Uncertainty Quantification for Deterministic Neural Networks. CoRR (2022)
Achille Thin, Nikita Kotelevskii, Arnaud Doucet, Alain Durmus, Eric Moulines, Maxim Panov
Monte Carlo Variational Auto-Encoders. CoRR (2021)
Achille Thin, Nikita Kotelevskii, Arnaud Doucet, Alain Durmus, Eric Moulines, Maxim Panov
Monte Carlo Variational Auto-Encoders. ICML (2021)
Achille Thin, Nikita Kotelevskii, Jean-Stanislas Denain, Leo Grinsztajn, Alain Durmus, Maxim Panov, Eric Moulines
MetFlow: A New Efficient Method for Bridging the Gap between Markov Chain Monte Carlo and Variational Inference. CoRR (2020)