output
20022026
most citedDeep Learning for Classification of Hyperspectral Data: A Comparative Review

687 citations

researchers with a paper here
collaborating institutions
Showing stat.MLShow all

22 papers · 1 filter

stat.ML2025

DP-SPRT: Differentially Private Sequential Probability Ratio Tests

Thomas Michel, Debabrota Basu, Emilie Kaufmann

We revisit Wald's celebrated Sequential Probability Ratio Test for sequential tests of two simple hypotheses, under privacy constraints. We propose DP-SPRT, a wrapper that can be c…

stat.ML2025

Adaptive collaboration for online personalized distributed learning with heterogeneous clients

Constantin Philippenko, Batiste Le Bars, Kevin Scaman +1

We study the problem of online personalized decentralized learning with statistically heterogeneous clients collaborating to accelerate local training. An important challenge i…

stat.ML2025

When to Forget? Complexity Trade-offs in Machine Unlearning

Martin Van Waerebeke, Marco Lorenzi, Giovanni Neglia +1

Machine Unlearning (MU) aims at removing the influence of specific data points from a trained model, striving to achieve this at a fraction of the cost of full model retraining. In…

stat.ML2024

Small coresets via negative dependence: DPPs, linear statistics, and concentration

Rémi Bardenet, Subhroshekhar Ghosh, Hugo Simon-Onfroy +1

Determinantal point processes (DPPs) are random configurations of points with tunable negative dependence. Because sampling is tractable, DPPs are natural candidates for subsamplin…

stat.ML2024

Differentially Private Best-Arm Identification

Achraf Azize, Marc Jourdan, Aymen Al Marjani +1

Best Arm Identification (BAI) problems are progressively used for data-sensitive applications, such as designing adaptive clinical trials, tuning hyper-parameters, and conducting u…

stat.ML2024

FLIPHAT: Joint Differential Privacy for High Dimensional Sparse Linear Bandits

Sunrit Chakraborty, Saptarshi Roy, Debabrota Basu

High dimensional sparse linear bandits serve as an efficient model for sequential decision-making problems (e.g. personalized medicine), where high dimensional features (e.g. genom…