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20242026
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5 papers · 1 filter

stat.ML2026

Adaptive Cumulative Mass Calibration with Conformal Prediction

Daniil Kazantsev, Eric Moulines, Maxim Panov +2

Reliable probability estimates by classifiers are essential in high-risk applications. In practice, however, predicted probabilities are often miscalibrated, and many existing post…

stat.ML2025

Neural Optimal Transport Meets Multivariate Conformal Prediction

Vladimir Kondratyev, Alexander Fishkov, Nikita Kotelevskii +4

We propose a framework for conditional vector quantile regression (CVQR) that combines neural optimal transport with amortized optimization, and apply it to multivariate conformal…

stat.ML2025

Multidimensional Uncertainty Quantification via Optimal Transport

Nikita Kotelevskii, Maiya Goloburda, Vladimir Kondratyev +4

Most uncertainty quantification (UQ) approaches provide a single scalar value as a measure of model reliability. However, different uncertainty measures could provide complementary…

stat.ML2025

From Risk to Uncertainty: Generating Predictive Uncertainty Measures via Bayesian Estimation

Nikita Kotelevskii, Vladimir Kondratyev, Martin Takáč +2

There are various measures of predictive uncertainty in the literature, but their relationships to each other remain unclear. This paper uses a decomposition of statistical pointwi…

stat.ML2024

Efficient Conformal Prediction under Data Heterogeneity

Vincent Plassier, Nikita Kotelevskii, Aleksandr Rubashevskii +7

Conformal Prediction (CP) stands out as a robust framework for uncertainty quantification, which is crucial for ensuring the reliability of predictions. However, common CP methods…