Sébastien Gadat

3 papers · 2007–2024 · 2 conferences · across top CS/AI conferences

Achievements

🏃 Academic Marathon (17) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (2) 🌉 Interdisciplinary Bridge 🐝 Cross-Pollinator (9) 🗺️ Taxonomy Completionist (10) 📈 Trend Setter

Conferences

JMLR (2) ICML (1)

Top co-authors

Ioana Gavra (1) Laurent Younes (1) Clément Lalanne (1)

Keywords

stochastic gradient descent (1) multi-task learning (1) non-convex optimization (1) feature selection (1) probability distribution (1) pattern recognition (1) stochastic approximation (1) convergence rate (1) adaptive algorithm (1) critical point (1) stochastic algorithm (1)

Papers

Privately Learning Smooth Distributions on the Hypercube by Projections ICML 2024

Asymptotic Study of Stochastic Adaptive Algorithms in Non-convex Landscape JMLR 2022

A Stochastic Algorithm for Feature Selection in Pattern Recognition JMLR 2007