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Optimal learning with Bernstein Online Aggregation

Optimal learning with Bernstein Online Aggregation

4 April 2014
Olivier Wintenberger
    FedML
ArXivPDFHTML

Papers citing "Optimal learning with Bernstein Online Aggregation"

14 / 14 papers shown
Title
Random feature-based double Vovk-Azoury-Warmuth algorithm for online multi-kernel learning
Random feature-based double Vovk-Azoury-Warmuth algorithm for online multi-kernel learning
Dmitry B. Rokhlin
Olga V. Gurtovaya
68
0
0
25 Mar 2025
Second-order Quantile Methods for Experts and Combinatorial Games
Second-order Quantile Methods for Experts and Combinatorial Games
Wouter M. Koolen
T. Erven
76
103
0
27 Feb 2015
A Second-order Bound with Excess Losses
A Second-order Bound with Excess Losses
Pierre Gaillard
Gilles Stoltz
T. Erven
56
152
0
10 Feb 2014
Optimal learning with $Q$-aggregation
Optimal learning with QQQ-aggregation
Guillaume Lecué
Philippe Rigollet
FedML
80
47
0
25 Jan 2013
Prediction of time series by statistical learning: general losses and
  fast rates
Prediction of time series by statistical learning: general losses and fast rates
Pierre Alquier
Xiaoyin Li
Olivier Wintenberger
AI4TS
111
46
0
08 Nov 2012
Deviation optimal learning using greedy Q-aggregation
Deviation optimal learning using greedy Q-aggregation
Dong Dai
Philippe Rigollet
Tong Zhang
57
68
0
12 Mar 2012
The Generalization Ability of Online Algorithms for Dependent Data
The Generalization Ability of Online Algorithms for Dependent Data
Alekh Agarwal
John C. Duchi
116
96
0
11 Oct 2011
Sparsity regret bounds for individual sequences in online linear
  regression
Sparsity regret bounds for individual sequences in online linear regression
Sébastien Gerchinovitz
139
108
0
05 Jan 2011
Kullback-Leibler aggregation and misspecified generalized linear models
Kullback-Leibler aggregation and misspecified generalized linear models
Philippe Rigollet
FedML
87
82
0
16 Nov 2009
Fast learning rates in statistical inference through aggregation
Fast learning rates in statistical inference through aggregation
Jean-Yves Audibert
86
119
0
08 Sep 2009
Empirical Bernstein Bounds and Sample Variance Penalization
Empirical Bernstein Bounds and Sample Variance Penalization
Andreas Maurer
Massimiliano Pontil
205
540
0
21 Jul 2009
A Stochastic View of Optimal Regret through Minimax Duality
A Stochastic View of Optimal Regret through Minimax Duality
Jacob D. Abernethy
Alekh Agarwal
Peter L. Bartlett
Alexander Rakhlin
72
95
0
30 Mar 2009
Stability Bound for Stationary Phi-mixing and Beta-mixing Processes
Stability Bound for Stationary Phi-mixing and Beta-mixing Processes
M. Mohri
Afshin Rostamizadeh
73
152
0
11 Nov 2008
Pac-Bayesian Supervised Classification: The Thermodynamics of
  Statistical Learning
Pac-Bayesian Supervised Classification: The Thermodynamics of Statistical Learning
O. Catoni
246
458
0
03 Dec 2007
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