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Alexander Fishkov
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2020 – today
- 2024
- [c4]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: 4879-4887 - 2023
- [c3]Fedor Noskov, Alexander Fishkov, Maxim Panov:
Selective Nonparametric Regression via Testing. ACML 2023: 1023-1038 - [i4]Fedor Noskov, Alexander Fishkov, Maxim Panov:
Selective Nonparametric Regression via Testing. CoRR abs/2309.16412 (2023) - [i3]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 abs/2312.15799 (2023) - 2022
- [c2]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 - [i2]Nikita Kotelevskii, Aleksandr Artemenkov, Kirill Fedyanin, Fedor Noskov, Alexander Fishkov, Aleksandr Petiushko, Maxim Panov:
NUQ: Nonparametric Uncertainty Quantification for Deterministic Neural Networks. CoRR abs/2202.03101 (2022) - [i1]Alexander Fishkov, Maxim Panov:
Scalable computation of prediction intervals for neural networks via matrix sketching. CoRR abs/2205.03194 (2022) - 2021
- [c1]Alexander Fishkov, Maxim Panov:
Scalable Computation of Prediction Intervals for Neural Networks via Matrix Sketching. AIST 2021: 225-238
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