Rates of estimation for determinantal point processes. - Victor-Emmanuel Brunel; Ankur Moitra; Philippe Rigollet; John C. Urschel (COLT, 2017)

Learning Determinantal Point Processes with Moments and Cycles. - John C. Urschel; Victor-Emmanuel Brunel; Ankur Moitra; Philippe Rigollet (ICML, 2017)

Learning Signed Determinantal Point Processes through the Principal Minor Assignment Problem. - Victor-Emmanuel Brunel (NeurIPS, 2018)

Learning rates for Gaussian mixtures under group action. - Victor-Emmanuel Brunel (COLT, 2019)

Learning Nonsymmetric Determinantal Point Processes. - Mike Gartrell; Victor-Emmanuel Brunel; Elvis Dohmatob; Syrine Krichene (NeurIPS, 2019)

A nonasymptotic law of iterated logarithm for robust online estimators. - Victor-Emmanuel Brunel; Arnak S. Dalalyan; Nicolas Schreuder (CoRR, 2019)

Best Arm Identification for Contaminated Bandits. - Jason M. Altschuler; Victor-Emmanuel Brunel; Alan Malek (J. Mach. Learn. Res., 2019)

A nonasymptotic law of iterated logarithm for general M-estimators. - Arnak S. Dalalyan; Nicolas Schreuder; Victor-Emmanuel Brunel (AISTATS, 2020)

Propose, Test, Release: Differentially private estimation with high probability. - Victor-Emmanuel Brunel; Marco Avella-Medina (CoRR, 2020)

Statistical guarantees for generative models without domination. - Nicolas Schreuder; Victor-Emmanuel Brunel; Arnak S. Dalalyan (ALT, 2021)

Scalable Learning and MAP Inference for Nonsymmetric Determinantal Point Processes. - Mike Gartrell; Insu Han; Elvis Dohmatob; Jennifer Gillenwater; Victor-Emmanuel Brunel (ICLR, 2021)

Geodesically convex M-estimation in metric spaces. - Victor-Emmanuel Brunel (COLT, 2023)

Exponential Smoothing for Off-Policy Learning. - Imad Aouali; Victor-Emmanuel Brunel; David Rohde; Anna Korba (ICML, 2023)

Concentration of empirical barycenters in metric spaces. - Victor-Emmanuel Brunel; Jordan Serres (ALT, 2024)

Unified PAC-Bayesian Study of Pessimism for Offline Policy Learning with Regularized Importance Sampling. - Imad Aouali; Victor-Emmanuel Brunel; David Rohde; Anna Korba (UAI, 2024)

Bayesian Off-Policy Evaluation and Learning for Large Action Spaces. - Imad Aouali; Victor-Emmanuel Brunel; David Rohde; Anna Korba (AISTATS, 2025)