An improper estimator with optimal excess risk in misspecified density estimation and logistic regression

23 December 2019

Papers citing "An improper estimator with optimal excess risk in misspecified density estimation and logistic regression"

12 / 12 papers shown

Title
Online Episodic Convex Reinforcement Learning B. Moreno Khaled Eldowa Pierre Gaillard Margaux Brégère Nadia Oudjane OffRL 27 0 0 12 May 2025
High-Probability Risk Bounds via Sequential Predictors Dirk van der Hoeven Nikita Zhivotovskiy Nicolò Cesa-Bianchi OffRL 32 2 0 15 Aug 2023
Exploring Local Norms in Exp-concave Statistical Learning Nikita Puchkin Nikita Zhivotovskiy 63 2 0 21 Feb 2023
Concentration Bounds for Discrete Distribution Estimation in KL Divergence C. Canonne Ziteng Sun A. Suresh 60 4 0 14 Feb 2023
Meta Sparse Principal Component Analysis Imon Banerjee Jean Honorio 17 0 0 18 Aug 2022
Exponential Tail Local Rademacher Complexity Risk Bounds Without the Bernstein Condition Varun Kanade Patrick Rebeschini Tomas Vaskevicius 17 10 0 23 Feb 2022
Efficient Methods for Online Multiclass Logistic Regression Naman Agarwal Satyen Kale Julian Zimmert 24 9 0 06 Oct 2021
Improved Learning Rates for Stochastic Optimization: Two Theoretical Viewpoints Shaojie Li Yong Liu 12 13 0 19 Jul 2021
Efficient improper learning for online logistic regression Rémi Jézéquel Pierre Gaillard Alessandro Rudi 17 23 0 18 Mar 2020
Learning without Concentration S. Mendelson 80 334 0 01 Jan 2014
Admissible predictive density estimation L. Brown E. George Xinyi Xu 67 51 0 18 Jun 2008
Asymptotically minimax Bayes predictive densities M. Aslan 313 15 0 01 Aug 2007