On aggregation for heavy-tailed classes

25 February 2015

Papers citing "On aggregation for heavy-tailed classes"

12 / 12 papers shown

Title
High-Probability Risk Bounds via Sequential Predictors Dirk van der Hoeven Nikita Zhivotovskiy Nicolò Cesa-Bianchi OffRL 36 2 0 15 Aug 2023
On Medians of (Randomized) Pairwise Means Pierre Laforgue Stéphan Clémençon Patrice Bertail 19 12 0 01 Nov 2022
Learning with little mixing Ingvar M. Ziemann Stephen Tu 21 27 0 16 Jun 2022
Posterior concentration and fast convergence rates for generalized Bayesian learning L. Ho Binh T. Nguyen Vu C. Dinh D. M. Nguyen 25 5 0 19 Nov 2021
Distribution-Free Robust Linear Regression Jaouad Mourtada Tomas Vaskevicius Nikita Zhivotovskiy OOD 20 23 0 25 Feb 2021
On Monte-Carlo methods in convex stochastic optimization Daniel Bartl S. Mendelson 25 8 0 19 Jan 2021
Robust Compressed Sensing using Generative Models A. Jalal Liu Liu A. Dimakis C. Caramanis 21 39 0 16 Jun 2020
Convergence rates of least squares regression estimators with heavy-tailed errors Q. Han J. Wellner 15 44 0 07 Jun 2017
Learning from MOM's principles: Le Cam's approach Lecué Guillaume Lerasle Matthieu 38 52 0 08 Jan 2017
Fast Rates for General Unbounded Loss Functions: from ERM to Generalized Bayes Peter Grünwald Nishant A. Mehta 37 71 0 01 May 2016
Learning without Concentration for General Loss Functions S. Mendelson 60 65 0 13 Oct 2014
Learning without Concentration S. Mendelson 85 334 0 01 Jan 2014