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Empirical entropy, minimax regret and minimax risk

Empirical entropy, minimax regret and minimax risk

6 August 2013
Alexander Rakhlin
Karthik Sridharan
Alexandre B. Tsybakov
ArXivPDFHTML

Papers citing "Empirical entropy, minimax regret and minimax risk"

15 / 15 papers shown
Title
Exploring Local Norms in Exp-concave Statistical Learning
Exploring Local Norms in Exp-concave Statistical Learning
Nikita Puchkin
Nikita Zhivotovskiy
81
2
0
21 Feb 2023
Optimal Contextual Bandits with Knapsacks under Realizability via
  Regression Oracles
Optimal Contextual Bandits with Knapsacks under Realizability via Regression Oracles
Yuxuan Han
Jialin Zeng
Yang Wang
Yangzhen Xiang
Jiheng Zhang
56
9
0
21 Oct 2022
Star algorithm for NN ensembling
Star algorithm for NN ensembling
Sergey Zinchenko
Dmitry Lishudi
FedML
11
0
0
01 Jun 2022
Exponential Tail Local Rademacher Complexity Risk Bounds Without the
  Bernstein Condition
Exponential Tail Local Rademacher Complexity Risk Bounds Without the Bernstein Condition
Varun Kanade
Patrick Rebeschini
Tomas Vaskevicius
27
10
0
23 Feb 2022
Distribution-Free Robust Linear Regression
Distribution-Free Robust Linear Regression
Jaouad Mourtada
Tomas Vaskevicius
Nikita Zhivotovskiy
OOD
36
23
0
25 Feb 2021
Optimal oracle inequalities for solving projected fixed-point equations
Optimal oracle inequalities for solving projected fixed-point equations
Wenlong Mou
A. Pananjady
Martin J. Wainwright
18
14
0
09 Dec 2020
Learning to Bid Optimally and Efficiently in Adversarial First-price
  Auctions
Learning to Bid Optimally and Efficiently in Adversarial First-price Auctions
Yanjun Han
Zhengyuan Zhou
Aaron Flores
E. Ordentlich
Tsachy Weissman
11
40
0
09 Jul 2020
Assumption-lean inference for generalised linear model parameters
Assumption-lean inference for generalised linear model parameters
S. Vansteelandt
O. Dukes
CML
27
49
0
15 Jun 2020
Bypassing the Monster: A Faster and Simpler Optimal Algorithm for
  Contextual Bandits under Realizability
Bypassing the Monster: A Faster and Simpler Optimal Algorithm for Contextual Bandits under Realizability
D. Simchi-Levi
Yunzong Xu
OffRL
47
107
0
28 Mar 2020
Efficient online learning with kernels for adversarial large scale
  problems
Efficient online learning with kernels for adversarial large scale problems
Rémi Jézéquel
Pierre Gaillard
Alessandro Rudi
8
12
0
26 Feb 2019
Does data interpolation contradict statistical optimality?
Does data interpolation contradict statistical optimality?
M. Belkin
Alexander Rakhlin
Alexandre B. Tsybakov
17
217
0
25 Jun 2018
Active Learning for Cost-Sensitive Classification
Active Learning for Cost-Sensitive Classification
A. Krishnamurthy
Alekh Agarwal
Tzu-Kuo Huang
Hal Daumé
John Langford
13
79
0
03 Mar 2017
Bayesian fractional posteriors
Bayesian fractional posteriors
A. Bhattacharya
D. Pati
Yun Yang
35
108
0
03 Nov 2016
From Stochastic Mixability to Fast Rates
From Stochastic Mixability to Fast Rates
Nishant A. Mehta
Robert C. Williamson
32
15
0
14 Jun 2014
Mirror averaging with sparsity priors
Mirror averaging with sparsity priors
A. Dalalyan
Alexandre B. Tsybakov
104
59
0
05 Mar 2010
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