Alexander Fishkov

15 papers A* 3A 1C 1Misc 1Journal 9

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Multidimensional Uncertainty Quantification via Optimal Transport. CoRR Nikita Kotelevskii, Maiya Goloburda, Vladimir Kondratyev, Alexander Fishkov, Mohsen Guizani, Eric Moulines, Maxim Panov
2025	J	`jnl`	Neural Optimal Transport Meets Multivariate Conformal Prediction. CoRR Vladimir Kondratyev, Alexander Fishkov, Nikita Kotelevskii, Mahmoud Hegazy, Rémi Flamary, Maxim Panov, Eric Moulines
2025	A*	`conf`	Probabilistic Conformal Prediction with Approximate Conditional Validity. ICLR Vincent Plassier, Alexander Fishkov, Mohsen Guizani, Maxim Panov, Eric Moulines
2025	A*	`conf`	Rectifying Conformity Scores for Better Conditional Coverage. ICML Vincent Plassier, Alexander Fishkov, Victor Dheur, Mohsen Guizani, Souhaib Ben Taieb, Maxim Panov, Eric Moulines
2025	J	`jnl`	Rectifying Conformity Scores for Better Conditional Coverage. CoRR Vincent Plassier, Alexander Fishkov, Victor Dheur, Mohsen Guizani, Souhaib Ben Taieb, Maxim Panov, Eric Moulines
2025	J	`jnl`	Uncertainty Quantification for Regression using Proper Scoring Rules. CoRR Alexander Fishkov, Kajetan Schweighofer, Mykyta Ielanskyi, Nikita Kotelevskii, Mohsen Guizani, Maxim Panov
2024	J	`jnl`	Conditionally valid Probabilistic Conformal Prediction. CoRR Vincent Plassier, Alexander Fishkov, Maxim Panov, Eric Moulines
2024	A	`conf`	Efficient Conformal Prediction under Data Heterogeneity. AISTATS Vincent Plassier, Nikita Kotelevskii, Aleksandr Rubashevskii, Fedor Noskov, Maksim Velikanov, Alexander Fishkov, Samuel Horváth, Martin Takác, Eric Moulines, Maxim Panov
2023	J	`jnl`	Efficient Conformal Prediction under Data Heterogeneity. CoRR Vincent Plassier, Nikita Kotelevskii, Aleksandr Rubashevskii, Fedor Noskov, Maksim Velikanov, Alexander Fishkov, Samuel Horváth, Martin Takác, Eric Moulines, Maxim Panov
2023	C	`conf`	Selective Nonparametric Regression via Testing. ACML Fedor Noskov, Alexander Fishkov, Maxim Panov
2023	J	`jnl`	Selective Nonparametric Regression via Testing. CoRR Fedor Noskov, Alexander Fishkov, Maxim Panov
2022	J	`jnl`	NUQ: Nonparametric Uncertainty Quantification for Deterministic Neural Networks. CoRR Nikita Kotelevskii, Aleksandr Artemenkov, Kirill Fedyanin, Fedor Noskov, Alexander Fishkov, Aleksandr Petiushko, Maxim Panov
2022	A*	`conf`	Nonparametric Uncertainty Quantification for Single Deterministic Neural Network. NeurIPS Nikita Kotelevskii, Aleksandr Artemenkov, Kirill Fedyanin, Fedor Noskov, Alexander Fishkov, Artem Shelmanov, Artem Vazhentsev, Aleksandr Petiushko, Maxim Panov
2022	J	`jnl`	Scalable computation of prediction intervals for neural networks via matrix sketching. CoRR Alexander Fishkov, Maxim Panov
2021	Misc	`conf`	Scalable Computation of Prediction Intervals for Neural Networks via Matrix Sketching. AIST Alexander Fishkov, Maxim Panov