Victor-Emmanuel Brunel

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 20

Top Topics

Point Processes

Exponential Smoothing

Top Venues

Publications

Imad Aouali, Victor-Emmanuel Brunel, David Rohde, Anna Korba
Unified PAC-Bayesian Study of Pessimism for Offline Policy Learning with Regularized Importance Sampling. CoRR (2024)
Imad Aouali, Victor-Emmanuel Brunel, David Rohde, Anna Korba
Bayesian Off-Policy Evaluation and Learning for Large Action Spaces. CoRR (2024)
Victor-Emmanuel Brunel, Jordan Serres
Concentration of empirical barycenters in metric spaces. ALT (2024)
Imad Aouali, Victor-Emmanuel Brunel, David Rohde, Anna Korba
Exponential Smoothing for Off-Policy Learning. CoRR (2023)
Victor-Emmanuel Brunel
Geodesically convex M-estimation in metric spaces. COLT (2023)
Imad Aouali, Victor-Emmanuel Brunel, David Rohde, Anna Korba
Exponential Smoothing for Off-Policy Learning. ICML (2023)
Nicolas Schreuder, Victor-Emmanuel Brunel, Arnak S. Dalalyan
Statistical guarantees for generative models without domination. ALT (2021)
Mike Gartrell, Insu Han, Elvis Dohmatob, Jennifer Gillenwater, Victor-Emmanuel Brunel
Scalable Learning and MAP Inference for Nonsymmetric Determinantal Point Processes. ICLR (2021)
Arnak S. Dalalyan, Nicolas Schreuder, Victor-Emmanuel Brunel
A nonasymptotic law of iterated logarithm for general M-estimators. AISTATS (2020)
Victor-Emmanuel Brunel, Marco Avella-Medina
Propose, Test, Release: Differentially private estimation with high probability. CoRR (2020)
Mike Gartrell, Insu Han, Elvis Dohmatob, Jennifer Gillenwater, Victor-Emmanuel Brunel
Scalable Learning and MAP Inference for Nonsymmetric Determinantal Point Processes. CoRR (2020)
Victor-Emmanuel Brunel
Learning rates for Gaussian mixtures under group action. COLT (2019)
Victor-Emmanuel Brunel, Arnak S. Dalalyan, Nicolas Schreuder
A nonasymptotic law of iterated logarithm for robust online estimators. CoRR (2019)
Mike Gartrell, Victor-Emmanuel Brunel, Elvis Dohmatob, Syrine Krichene
Learning Nonsymmetric Determinantal Point Processes. NeurIPS (2019)
Jason Altschuler, Victor-Emmanuel Brunel, Alan Malek
Best Arm Identification for Contaminated Bandits. J. Mach. Learn. Res. 20 (2019)
Mike Gartrell, Victor-Emmanuel Brunel, Elvis Dohmatob, Syrine Krichene
Learning Nonsymmetric Determinantal Point Processes. CoRR (2019)
Jason Altschuler, Victor-Emmanuel Brunel, Alan Malek
Best Arm Identification for Contaminated Bandits. CoRR (2018)
Victor-Emmanuel Brunel
Learning Signed Determinantal Point Processes through the Principal Minor Assignment Problem. NeurIPS (2018)
John C. Urschel, Victor-Emmanuel Brunel, Ankur Moitra, Philippe Rigollet
Learning Determinantal Point Processes with Moments and Cycles. ICML (2017)
Victor-Emmanuel Brunel, Ankur Moitra, Philippe Rigollet, John C. Urschel
Rates of estimation for determinantal point processes. COLT (2017)