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20162026
most citedHumanity's Last Exam

23 citations · 71 across the 23 of their papers we have counts for

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8 papers · 1 filter

stat.ML2026

Self-Organized Conformal Prediction: Reducing Regional Coverage Gaps with Unsupervised Group Discovery

Louis Berthier, Ahmed Shokry, Maxime Moreaud +2

Conformal prediction guarantees marginal coverage, but a pooled calibration quantile can hide systematic undercoverage across heterogeneous regions of the feature space. We introdu…

stat.ML2025

Valid Selection among Conformal Sets

Mahmoud Hegazy, Liviu Aolaritei, Michael I. Jordan +1

Conformal prediction offers a distribution-free framework for constructing prediction sets with coverage guarantees. In practice, multiple valid conformal prediction sets may be av…

stat.ML2025

Scaffold with Stochastic Gradients: New Analysis with Linear Speed-Up

Paul Mangold, Alain Durmus, Aymeric Dieuleveut +1

This paper proposes a novel analysis for the Scaffold algorithm, a popular method for dealing with data heterogeneity in federated learning. While its convergence in deterministic…

stat.ML2024

Refined Analysis of Federated Averaging and Federated Richardson-Romberg

Paul Mangold, Alain Durmus, Aymeric Dieuleveut +2

In this paper, we present a novel analysis of \FedAvg with constant step size, relying on the Markov property of the underlying process. We demonstrate that the global iterates of…

stat.ML2024

Sliced-Wasserstein Estimation with Spherical Harmonics as Control Variates

Rémi Leluc, Aymeric Dieuleveut, François Portier +2

The Sliced-Wasserstein (SW) distance between probability measures is defined as the average of the Wasserstein distances resulting for the associated one-dimensional projections. A…

stat.ML20231 cited

Conformal Prediction with Missing Values

Margaux Zaffran, Aymeric Dieuleveut, Julie Josse +1

Conformal prediction is a theoretically grounded framework for constructing predictive intervals. We study conformal prediction with missing values in the covariates -- a setting t…