Victor-Emmanuel Brunel

23 papers A* 8A 3B 2Journal 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
Functional Central Limit Theorem for Stochastic Gradient Descent.
CoRR
Kessang Flamand, Victor-Emmanuel Brunel
2025 A conf
Bayesian Off-Policy Evaluation and Learning for Large Action Spaces.
AISTATS
Imad Aouali, Victor-Emmanuel Brunel, David Rohde, Anna Korba
2024 J jnl
Bayesian Off-Policy Evaluation and Learning for Large Action Spaces.
CoRR
Imad Aouali, Victor-Emmanuel Brunel, David Rohde, Anna Korba
2024 B conf
Concentration of empirical barycenters in metric spaces.
ALT
Victor-Emmanuel Brunel, Jordan Serres
2024 A conf
Unified PAC-Bayesian Study of Pessimism for Offline Policy Learning with Regularized Importance Sampling.
UAI
Imad Aouali, Victor-Emmanuel Brunel, David Rohde, Anna Korba
2024 J jnl
Unified PAC-Bayesian Study of Pessimism for Offline Policy Learning with Regularized Importance Sampling.
CoRR
Imad Aouali, Victor-Emmanuel Brunel, David Rohde, Anna Korba
2023 A* conf
Exponential Smoothing for Off-Policy Learning.
ICML
Imad Aouali, Victor-Emmanuel Brunel, David Rohde, Anna Korba
2023 J jnl
Exponential Smoothing for Off-Policy Learning.
CoRR
Imad Aouali, Victor-Emmanuel Brunel, David Rohde, Anna Korba
2023 A* conf
Geodesically convex M-estimation in metric spaces.
COLT
Victor-Emmanuel Brunel
2021 A* conf
Scalable Learning and MAP Inference for Nonsymmetric Determinantal Point Processes.
ICLR
Mike Gartrell, Insu Han, Elvis Dohmatob, Jennifer Gillenwater, Victor-Emmanuel Brunel
2021 B conf
Statistical guarantees for generative models without domination.
ALT
Nicolas Schreuder, Victor-Emmanuel Brunel, Arnak S. Dalalyan
2020 A conf
A nonasymptotic law of iterated logarithm for general M-estimators.
AISTATS
Arnak S. Dalalyan, Nicolas Schreuder, Victor-Emmanuel Brunel
2020 J jnl
Propose, Test, Release: Differentially private estimation with high probability.
CoRR
Victor-Emmanuel Brunel, Marco Avella-Medina
2020 J jnl
Scalable Learning and MAP Inference for Nonsymmetric Determinantal Point Processes.
CoRR
Mike Gartrell, Insu Han, Elvis Dohmatob, Jennifer Gillenwater, Victor-Emmanuel Brunel
2019 J jnl
A nonasymptotic law of iterated logarithm for robust online estimators.
CoRR
Victor-Emmanuel Brunel, Arnak S. Dalalyan, Nicolas Schreuder
2019 J jnl
Best Arm Identification for Contaminated Bandits.
J. Mach. Learn. Res.
Jason M. Altschuler, Victor-Emmanuel Brunel, Alan Malek
2019 A* conf
Learning Nonsymmetric Determinantal Point Processes.
NeurIPS
Mike Gartrell, Victor-Emmanuel Brunel, Elvis Dohmatob, Syrine Krichene
2019 J jnl
Learning Nonsymmetric Determinantal Point Processes.
CoRR
Mike Gartrell, Victor-Emmanuel Brunel, Elvis Dohmatob, Syrine Krichene
2019 A* conf
Learning rates for Gaussian mixtures under group action.
COLT
Victor-Emmanuel Brunel
2018 J jnl
Best Arm Identification for Contaminated Bandits.
CoRR
Jason M. Altschuler, Victor-Emmanuel Brunel, Alan Malek
2018 A* conf
Learning Signed Determinantal Point Processes through the Principal Minor Assignment Problem.
NeurIPS
Victor-Emmanuel Brunel
2017 A* conf
Learning Determinantal Point Processes with Moments and Cycles.
ICML
John Urschel, Victor-Emmanuel Brunel, Ankur Moitra, Philippe Rigollet
2017 A* conf
Rates of estimation for determinantal point processes.
COLT
Victor-Emmanuel Brunel, Ankur Moitra, Philippe Rigollet, John Urschel