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Sparse single-index model
v1v2 (latest)

Sparse single-index model

17 January 2011
Pierre Alquier
Gérard Biau
ArXiv (abs)PDFHTML

Papers citing "Sparse single-index model"

50 / 50 papers shown
Kullback-Leibler excess risk bounds for exponential weighted aggregation in Generalized linear models
Kullback-Leibler excess risk bounds for exponential weighted aggregation in Generalized linear models
Tien Mai
FedML
257
0
0
14 Apr 2025
High-dimensional prediction for count response via sparse exponential
  weights
High-dimensional prediction for count response via sparse exponential weights
The Tien Mai
246
0
0
20 Oct 2024
High-Dimensional Single-Index Models: Link Estimation and Marginal
  Inference
High-Dimensional Single-Index Models: Link Estimation and Marginal Inference
Kazuma Sawaya
Yoshimasa Uematsu
Masaaki Imaizumi
334
3
0
27 Apr 2024
The surrogate Gibbs-posterior of a corrected stochastic MALA: Towards uncertainty quantification for neural networks
The surrogate Gibbs-posterior of a corrected stochastic MALA: Towards uncertainty quantification for neural networks
S. Bieringer
Gregor Kasieczka
Maximilian F. Steffen
Mathias Trabs
319
1
0
13 Oct 2023
A Consistent and Scalable Algorithm for Best Subset Selection in Single Index Models
A Consistent and Scalable Algorithm for Best Subset Selection in Single Index Models
Borui Tang
Jin Zhu
Junxian Zhu
Xueqin Wang
Heping Zhang
256
1
0
12 Sep 2023
Learning nonparametric DAGs with incremental information via high-order
  HSIC
Learning nonparametric DAGs with incremental information via high-order HSIC
Yafei Wang
Jianguo Liu
CML
124
0
0
11 Aug 2023
More PAC-Bayes bounds: From bounded losses, to losses with general tail
  behaviors, to anytime validity
More PAC-Bayes bounds: From bounded losses, to losses with general tail behaviors, to anytime validityJournal of machine learning research (JMLR), 2023
Borja Rodríguez Gálvez
Ragnar Thobaben
Mikael Skoglund
507
15
0
21 Jun 2023
PAC-Bayes Bounds for High-Dimensional Multi-Index Models with Unknown
  Active Dimension
PAC-Bayes Bounds for High-Dimensional Multi-Index Models with Unknown Active Dimension
Maximilian F. Steffen
182
1
0
23 Mar 2023
A One-Sample Decentralized Proximal Algorithm for Non-Convex Stochastic
  Composite Optimization
A One-Sample Decentralized Proximal Algorithm for Non-Convex Stochastic Composite OptimizationConference on Uncertainty in Artificial Intelligence (UAI), 2023
Tesi Xiao
Xuxing Chen
Krishnakumar Balasubramanian
Saeed Ghadimi
247
12
0
20 Feb 2023
On a low-rank matrix single index model
On a low-rank matrix single index model
The Tien Mai
227
2
0
17 Oct 2022
PAC-Bayes Generalisation Bounds for Heavy-Tailed Losses through
  Supermartingales
PAC-Bayes Generalisation Bounds for Heavy-Tailed Losses through Supermartingales
Maxime Haddouche
Benjamin Guedj
280
25
0
03 Oct 2022
Generalisation under gradient descent via deterministic PAC-Bayes
Generalisation under gradient descent via deterministic PAC-BayesInternational Conference on Algorithmic Learning Theory (ALT), 2022
Eugenio Clerico
Tyler Farghly
George Deligiannidis
Benjamin Guedj
Arnaud Doucet
387
6
0
06 Sep 2022
Online PAC-Bayes Learning
Online PAC-Bayes LearningNeural Information Processing Systems (NeurIPS), 2022
Maxime Haddouche
Benjamin Guedj
363
27
0
31 May 2022
Deep Bootstrap for Bayesian Inference
Deep Bootstrap for Bayesian Inference
Lizhen Nie
Veronika Rockova
UQCVBDL
298
7
0
30 May 2022
A PAC-Bayes oracle inequality for sparse neural networks
A PAC-Bayes oracle inequality for sparse neural networks
Maximilian F. Steffen
Mathias Trabs
UQCV
187
3
0
26 Apr 2022
Dimensionality Reduction and Wasserstein Stability for Kernel Regression
Dimensionality Reduction and Wasserstein Stability for Kernel RegressionJournal of machine learning research (JMLR), 2022
Stephan Eckstein
Armin Iske
Mathias Trabs
216
4
0
17 Mar 2022
On PAC-Bayesian reconstruction guarantees for VAEs
On PAC-Bayesian reconstruction guarantees for VAEsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Badr-Eddine Chérief-Abdellatif
Yuyang Shi
Arnaud Doucet
Benjamin Guedj
DRL
227
21
0
23 Feb 2022
Risk bounds for aggregated shallow neural networks using Gaussian prior
Risk bounds for aggregated shallow neural networks using Gaussian priorAnnual Conference Computational Learning Theory (COLT), 2021
L. Tinsi
A. Dalalyan
BDL
295
8
0
21 Dec 2021
Conditionally Gaussian PAC-Bayes
Conditionally Gaussian PAC-BayesInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Eugenio Clerico
George Deligiannidis
Arnaud Doucet
249
11
0
22 Oct 2021
User-friendly introduction to PAC-Bayes bounds
User-friendly introduction to PAC-Bayes bounds
Pierre Alquier
FedML
561
255
0
21 Oct 2021
NTS-NOTEARS: Learning Nonparametric DBNs With Prior Knowledge
NTS-NOTEARS: Learning Nonparametric DBNs With Prior KnowledgeInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Xiangyuan Sun
Oliver Schulte
Guiliang Liu
Pascal Poupart
CMLBDL
362
38
0
09 Sep 2021
On Margins and Derandomisation in PAC-Bayes
On Margins and Derandomisation in PAC-BayesInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Felix Biggs
Benjamin Guedj
274
22
0
08 Jul 2021
Convergence guarantee for the sparse monotone single index model
Convergence guarantee for the sparse monotone single index modelElectronic Journal of Statistics (EJS), 2021
Ran Dai
Hyebin Song
Rina Foygel Barber
Garvesh Raskutti
194
2
0
17 May 2021
On regret bounds for continual single-index learning
On regret bounds for continual single-index learning
The Tien Mai
CLL
116
0
0
25 Feb 2021
De-randomized PAC-Bayes Margin Bounds: Applications to Non-convex and
  Non-smooth Predictors
De-randomized PAC-Bayes Margin Bounds: Applications to Non-convex and Non-smooth Predictors
A. Banerjee
Tiancong Chen
Yingxue Zhou
BDL
243
9
0
23 Feb 2020
High Dimensional M-Estimation with Missing Outcomes: A Semi-Parametric
  Framework
High Dimensional M-Estimation with Missing Outcomes: A Semi-Parametric Framework
Abhishek Chakrabortty
Jiarui Lu
T. Tony Cai
Hongzhe Li
182
7
0
26 Nov 2019
Learning Sparse Nonparametric DAGs
Learning Sparse Nonparametric DAGsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2019
Xun Zheng
Chen Dan
Bryon Aragam
Pradeep Ravikumar
Eric Xing
CML
382
298
0
29 Sep 2019
A Primer on PAC-Bayesian Learning
A Primer on PAC-Bayesian Learning
Benjamin Guedj
517
233
0
16 Jan 2019
Misspecified Nonconvex Statistical Optimization for Phase Retrieval
Misspecified Nonconvex Statistical Optimization for Phase Retrieval
Zhuoran Yang
Lin F. Yang
Ethan X. Fang
T. Zhao
Zhaoran Wang
Matey Neykov
153
15
0
18 Dec 2017
On Stein's Identity and Near-Optimal Estimation in High-dimensional
  Index Models
On Stein's Identity and Near-Optimal Estimation in High-dimensional Index Models
Zhuoran Yang
Krishnakumar Balasubramanian
Han Liu
157
15
0
26 Sep 2017
Semiparametric Efficiency in Convexity Constrained Single Index Model
Semiparametric Efficiency in Convexity Constrained Single Index Model
Arun K. Kuchibhotla
Rohit Patra
B. Sen
466
5
0
01 Aug 2017
On the Exponentially Weighted Aggregate with the Laplace Prior
On the Exponentially Weighted Aggregate with the Laplace Prior
A. Dalalyan
Edwin Grappin
Q. Paris
197
20
0
25 Nov 2016
Scalable Approximations for Generalized Linear Problems
Scalable Approximations for Generalized Linear Problems
Murat A. Erdogdu
Mohsen Bayati
Lee H. Dicker
127
11
0
21 Nov 2016
Optimal Estimation of Slope Vector in High-dimensional Linear
  Transformation Model
Optimal Estimation of Slope Vector in High-dimensional Linear Transformation Model
X. Tan
104
1
0
24 Apr 2016
On Learning High Dimensional Structured Single Index Models
On Learning High Dimensional Structured Single Index Models
Nikhil S. Rao
Ravi Ganti
Laura Balzano
Rebecca Willett
Robert D. Nowak
171
15
0
13 Mar 2016
A Quasi-Bayesian Perspective to Online Clustering
A Quasi-Bayesian Perspective to Online Clustering
Le Li
Benjamin Guedj
S. Loustau
344
1
0
01 Feb 2016
L1-Regularized Least Squares for Support Recovery of High Dimensional
  Single Index Models with Gaussian Designs
L1-Regularized Least Squares for Support Recovery of High Dimensional Single Index Models with Gaussian Designs
Matey Neykov
Jun S. Liu
Tianxi Cai
289
45
0
25 Nov 2015
Sparse Nonlinear Regression: Parameter Estimation and Asymptotic
  Inference
Sparse Nonlinear Regression: Parameter Estimation and Asymptotic Inference
Zhuoran Yang
Zhaoran Wang
Han Liu
Yonina C. Eldar
Tong Zhang
191
43
0
14 Nov 2015
PAC-Bayesian High Dimensional Bipartite Ranking
PAC-Bayesian High Dimensional Bipartite Ranking
Benjamin Guedj
Sylvain Robbiano
272
12
0
09 Nov 2015
Learning Single Index Models in High Dimensions
Learning Single Index Models in High Dimensions
Ravi Ganti
Nikhil S. Rao
Rebecca Willett
Robert D. Nowak
205
30
0
30 Jun 2015
On the properties of variational approximations of Gibbs posteriors
On the properties of variational approximations of Gibbs posteriorsJournal of machine learning research (JMLR), 2015
Pierre Alquier
James Ridgway
Nicolas Chopin
343
273
0
12 Jun 2015
Optimal linear estimation under unknown nonlinear transform
Optimal linear estimation under unknown nonlinear transform
Xinyang Yi
Zhaoran Wang
Constantine Caramanis
Han Liu
196
29
0
13 May 2015
The generalized Lasso with non-linear observations
The generalized Lasso with non-linear observations
Y. Plan
Roman Vershynin
389
209
0
13 Feb 2015
PAC-Bayesian AUC classification and scoring
PAC-Bayesian AUC classification and scoringNeural Information Processing Systems (NeurIPS), 2014
James Ridgway
Pierre Alquier
Nicolas Chopin
Feng Liang
373
22
0
07 Oct 2014
A Bayesian Approach for Noisy Matrix Completion: Optimal Rate under
  General Sampling Distribution
A Bayesian Approach for Noisy Matrix Completion: Optimal Rate under General Sampling Distribution
The Tien Mai
Pierre Alquier
290
55
0
25 Aug 2014
Bayesian matrix completion: prior specification
Bayesian matrix completion: prior specification
Pierre Alquier
V. Cottet
Nicolas Chopin
Judith Rousseau
348
18
0
05 Jun 2014
On Oracle Property and Asymptotic Validity of Bayesian Generalized
  Method of Moments
On Oracle Property and Asymptotic Validity of Bayesian Generalized Method of MomentsJournal of Multivariate Analysis (JMA), 2014
Cheng Li
Wenxin Jiang
265
16
0
26 May 2014
High-dimensional estimation with geometric constraints
High-dimensional estimation with geometric constraints
Y. Plan
Roman Vershynin
E. Yudovina
315
148
0
14 Apr 2014
COBRA: A Combined Regression Strategy
COBRA: A Combined Regression StrategyJournal of Multivariate Analysis (J. Multivar. Anal.), 2013
Gérard Biau
A. Fischer
Benjamin Guedj
J. Malley
385
39
0
09 Mar 2013
PAC-Bayesian Estimation and Prediction in Sparse Additive Models
PAC-Bayesian Estimation and Prediction in Sparse Additive ModelsElectronic Journal of Statistics (EJS), 2012
Benjamin Guedj
Pierre Alquier
557
49
0
06 Aug 2012
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