Victor-Emmanuel Brunel | DeepAI

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∙ 05/25/2023

Exponential Smoothing for Off-Policy Learning

Off-policy learning (OPL) aims at finding improved policies from logged ...

0 Imad Aouali, et al. ∙

∙ 05/05/2023

Geodesically convex M-estimation in metric spaces

We study the asymptotic properties of geodesically convex M-estimation o...

0 Victor-Emmanuel Brunel, et al. ∙

∙ 03/02/2023

Concentration of empirical barycenters in metric spaces

Barycenters (aka Fréchet means) were introduced in statistics in the 194...

0 Victor-Emmanuel Brunel, et al. ∙

∙ 10/19/2020

Statistical guarantees for generative models without domination

In this paper, we introduce a convenient framework for studying (adversa...

0 Nicolas Schreuder, et al. ∙

∙ 06/17/2020

Scalable Learning and MAP Inference for Nonsymmetric Determinantal Point Processes

Determinantal point processes (DPPs) have attracted significant attentio...

0 Mike Gartrell, et al. ∙

∙ 02/19/2020

Propose, Test, Release: Differentially private estimation with high probability

We derive concentration inequalities for differentially private median a...

0 Victor-Emmanuel Brunel, et al. ∙

∙ 06/27/2019

Differentially private sub-Gaussian location estimators

We tackle the problem of estimating a location parameter with differenti...

0 Marco Avella-Medina, et al. ∙

∙ 05/30/2019

Learning Nonsymmetric Determinantal Point Processes

Determinantal point processes (DPPs) have attracted substantial attentio...

0 Mike Gartrell, et al. ∙

∙ 03/15/2019

A nonasymptotic law of iterated logarithm for robust online estimators

In this paper, we provide tight deviation bounds for M-estimators, which...

0 Victor-Emmanuel Brunel, et al. ∙

∙ 02/28/2019

Learning rates for Gaussian mixtures under group invariance

We study the pointwise maximum likelihood estimation rates for a class o...

0 Victor-Emmanuel Brunel, et al. ∙

∙ 11/01/2018

Learning Signed Determinantal Point Processes through the Principal Minor Assignment Problem

Symmetric determinantal point processes (DPP's) are a class of probabili...

0 Victor-Emmanuel Brunel, et al. ∙

∙ 09/05/2018

A change-point problem and inference for segment signals

We address the problem of detection and estimation of one or two change-...

0 Victor-Emmanuel Brunel, et al. ∙

∙ 04/26/2018

Estimation of convex supports from noisy measurements

A popular class of problem in statistics deals with estimating the suppo...

0 Victor-Emmanuel Brunel, et al. ∙

∙ 02/26/2018

Best Arm Identification for Contaminated Bandits

We propose the Contaminated Best Arm Identification variant of the Multi...

0 Jason Altschuler, et al. ∙

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