Deviation optimal learning using greedy Q-aggregation

Deviation optimal learning using greedy Q-aggregation

12 March 2012

Philippe Rigollet

Tong Zhang

Papers citing "Deviation optimal learning using greedy Q-aggregation"

14 / 14 papers shown

Title
Causal Q-Aggregation for CATE Model Selection Hui Lan Vasilis Syrgkanis CML 32 4 0 25 Oct 2023
On Hypothesis Transfer Learning of Functional Linear Models Haotian Lin M. Reimherr 25 3 0 09 Jun 2022
Exponential Tail Local Rademacher Complexity Risk Bounds Without the Bernstein Condition Varun Kanade Patrick Rebeschini Tomas Vaskevicius 25 10 0 23 Feb 2022
User-friendly introduction to PAC-Bayes bounds Pierre Alquier FedML 60 196 0 21 Oct 2021
Aggregating estimates by convex optimization A. Juditsky A. Nemirovski 19 0 0 16 Jul 2021
Transfer Learning for High-dimensional Linear Regression: Prediction, Estimation, and Minimax Optimality Sai Li T. Tony Cai Hongzhe Li 46 157 0 18 Jun 2020
The cost-free nature of optimally tuning Tikhonov regularizers and other ordered smoothers Pierre C. Bellec Dana Yang 10 8 0 29 May 2019
An adaptive multiclass nearest neighbor classifier Nikita Puchkin V. Spokoiny 16 7 0 08 Apr 2018
Localized Gaussian width of $M$ -convex hulls with applications to Lasso and convex aggregation Pierre C. Bellec 16 17 0 30 May 2017
Optimal Kullback-Leibler Aggregation in Mixture Density Estimation by Maximum Likelihood A. Dalalyan M. Sebbar FedML 39 9 0 18 Jan 2017
Optimal bounds for aggregation of affine estimators Pierre C. Bellec 28 25 0 01 Oct 2014
Aggregation of Affine Estimators Dong Dai Philippe Rigollet Lucy Xia Tong Zhang FedML 33 36 0 12 Nov 2013
Empirical entropy, minimax regret and minimax risk Alexander Rakhlin Karthik Sridharan Alexandre B. Tsybakov 49 81 0 06 Aug 2013
Sharp Oracle Inequalities for Aggregation of Affine Estimators A. Dalalyan Joseph Salmon 51 85 0 20 Apr 2011