output
20062026
most citedConsistency of the group Lasso and multiple kernel learning

710 citations

283 papers

cs.LG2026

Gaussian Flow-Matching Schedules: Implications for Sampling and Training

Arsène Claustre, Hugo Negrel, Claire Boyer +2

Flow-matching schedules affect both sampling dynamics and the variance of the regression target. For centered commuting Gaussians, we show that a direction-dependent schedule decom…

cs.AI2026

Minimax Optimal Variance-Aware Regret Bounds for Multinomial Logistic MDPs

Pierre Boudart, Pierre Gaillard, Alessandro Rudi

We study reinforcement learning for episodic Markov Decision Processes (MDPs) whose transitions are modelled by a multinomial logistic (MNL) model. Existing algorithms for MNL mixt…

stat.ML2026★ 1 cited

Adaptive multi-fidelity optimization with fast learning rates

Come Fiegel, Victor Gabillon, Michal Valko

In multi-fidelity optimization, biased approximations of varying costs of the target function are available. This paper studies the problem of optimizing a locally smooth function…

cs.NI2026

A Border Gateway Protocol Extension for Distributing Endpoint Identifier Reachability Information in Delay-tolerant Networks

Marius Feldmann, Théo Tchilinguirian, Felix Walter

The Delay-Tolerant Networking (DTN) community has created solid results during the last three decades. One aspect that still requires focus, however, is the simplification of confi…

cs.LG2026

Unbiased Approximate Vector-Jacobian Products for Efficient Backpropagation

Killian Bakong, Laurent Massoulié, Edouard Oyallon +1

In this work we introduce methods to reduce the computational and memory costs of training deep neural networks. Our approach consists in replacing exact vector-jacobian products b…

cs.RO2026

Frictional Contact Solving for Material Point Method

Etienne Ménager, Justin Carpentier

Accurately handling contact with friction remains a core bottleneck for Material Point Method (MPM), from reliable contact point detection to enforcing frictional contact laws (non…