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Prediction of time series by statistical learning: general losses and
  fast rates

Prediction of time series by statistical learning: general losses and fast rates

8 November 2012
Pierre Alquier
Xiaoyin Li
Olivier Wintenberger
    AI4TS
ArXiv (abs)PDFHTML

Papers citing "Prediction of time series by statistical learning: general losses and fast rates"

19 / 19 papers shown
Title
Length independent generalization bounds for deep SSM architectures via Rademacher contraction and stability constraints
Length independent generalization bounds for deep SSM architectures via Rademacher contraction and stability constraints
Dániel Rácz
Mihaly Petreczky
Bálint Daróczy
103
1
0
30 May 2024
Generalization and Robustness of Batched Weighted Average Algorithm with
  V-geometrically Ergodic Markov Data
Generalization and Robustness of Batched Weighted Average Algorithm with V-geometrically Ergodic Markov Data
Cuong V Nguyen
L. Ho
Vu C. Dinh
OOD
53
11
0
12 Jun 2014
Prediction of quantiles by statistical learning and application to GDP
  forecasting
Prediction of quantiles by statistical learning and application to GDP forecasting
Pierre Alquier
Xiaoyin Li
AI4TS
131
14
0
20 Feb 2012
PAC-Bayesian Inequalities for Martingales
PAC-Bayesian Inequalities for Martingales
Yevgeny Seldin
François Laviolette
Nicolò Cesa-Bianchi
John Shawe-Taylor
P. Auer
126
127
0
31 Oct 2011
The Generalization Ability of Online Algorithms for Dependent Data
The Generalization Ability of Online Algorithms for Dependent Data
Alekh Agarwal
John C. Duchi
141
96
0
11 Oct 2011
Ergodic Mirror Descent
Ergodic Mirror Descent
John C. Duchi
Alekh Agarwal
M. Johansson
Michael I. Jordan
185
125
0
24 May 2011
Sharp Oracle Inequalities for Aggregation of Affine Estimators
Sharp Oracle Inequalities for Aggregation of Affine Estimators
A. Dalalyan
Joseph Salmon
106
85
0
20 Apr 2011
Sparsity regret bounds for individual sequences in online linear
  regression
Sparsity regret bounds for individual sequences in online linear regression
Sébastien Gerchinovitz
213
108
0
05 Jan 2011
PAC-Bayesian aggregation and multi-armed bandits
PAC-Bayesian aggregation and multi-armed bandits
Jean-Yves Audibert
163
21
0
15 Nov 2010
Pac-bayesian bounds for sparse regression estimation with exponential
  weights
Pac-bayesian bounds for sparse regression estimation with exponential weights
Pierre Alquier
Karim Lounici
118
73
0
14 Sep 2010
Fast learning rates in statistical inference through aggregation
Fast learning rates in statistical inference through aggregation
Jean-Yves Audibert
123
119
0
08 Sep 2009
Sequential Quantile Prediction of Time Series
Sequential Quantile Prediction of Time Series
Gérard Biau
B. Patra
AI4TS
79
35
0
18 Aug 2009
L1-Penalized Quantile Regression in High-Dimensional Sparse Models
L1-Penalized Quantile Regression in High-Dimensional Sparse Models
A. Belloni
Victor Chernozhukov
190
457
0
19 Apr 2009
Model selection for weakly dependent time series forecasting
Model selection for weakly dependent time series forecasting
Pierre Alquier
Olivier Wintenberger
OODAI4TS
146
80
0
17 Feb 2009
Aggregation by exponential weighting, sharp PAC-Bayesian bounds and
  sparsity
Aggregation by exponential weighting, sharp PAC-Bayesian bounds and sparsity
A. Dalalyan
Alexandre B. Tsybakov
149
176
0
19 Mar 2008
Weakly dependent chains with infinite memory
Weakly dependent chains with infinite memory
P. Doukhan
Olivier Wintenberger
96
133
0
19 Dec 2007
PAC-Bayesian Bounds for Randomized Empirical Risk Minimizers
PAC-Bayesian Bounds for Randomized Empirical Risk Minimizers
Pierre Alquier
225
58
0
11 Dec 2007
Pac-Bayesian Supervised Classification: The Thermodynamics of
  Statistical Learning
Pac-Bayesian Supervised Classification: The Thermodynamics of Statistical Learning
O. Catoni
306
460
0
03 Dec 2007
Aggregation for Gaussian regression
Aggregation for Gaussian regression
F. Bunea
Alexandre B. Tsybakov
M. Wegkamp
507
362
0
19 Oct 2007
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