Oracle Inequalities and Optimal Inference under Group Sparsity

11 July 2010

Karim Lounici

Massimiliano Pontil

Alexandre B. Tsybakov

Sara van de Geer

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Papers citing "Oracle Inequalities and Optimal Inference under Group Sparsity"

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Title
Why Reasoning Matters? A Survey of Advancements in Multimodal Reasoning (v1) Jing Bi Susan Liang Xiaofei Zhou Pinxin Liu Junjia Guo ... C. Chen Lianggong Wen Zhang Liu Jiebo Luo Chenliang Xu LRM 30 0 0 04 Apr 2025
Group Spike and Slab Variational Bayes M. Komodromos Marina Evangelou Sarah Filippi Kolyan Ray 25 2 0 19 Sep 2023
Anytime Model Selection in Linear Bandits Parnian Kassraie N. Emmenegger Andreas Krause Aldo Pacchiano 39 2 0 24 Jul 2023
Limits of Model Selection under Transfer Learning Steve Hanneke Samory Kpotufe Yasaman Mahdaviyeh 27 6 0 29 Apr 2023
Implicit Regularization Leads to Benign Overfitting for Sparse Linear Regression Mo Zhou Rong Ge 27 2 0 01 Feb 2023
The non-overlapping statistical approximation to overlapping group lasso Mingyu Qi Tianxi Li 10 1 0 16 Nov 2022
Adaptive and Robust Multi-Task Learning Yaqi Duan Kaizheng Wang 75 23 0 10 Feb 2022
Variable selection, monotone likelihood ratio and group sparsity C. Butucea E. Mammen M. Ndaoud Alexandre B. Tsybakov 34 3 0 30 Dec 2021
Predicting Census Survey Response Rates With Parsimonious Additive Models and Structured Interactions Shibal Ibrahim P. Radchenko E. Ben-David Rahul Mazumder 21 2 0 24 Aug 2021
Group-Sparse Matrix Factorization for Transfer Learning of Word Embeddings Kan Xu Xuanyi Zhao Hamsa Bastani Osbert Bastani 25 6 0 18 Apr 2021
Grouped Variable Selection with Discrete Optimization: Computational and Statistical Perspectives Hussein Hazimeh Rahul Mazumder P. Radchenko 29 27 0 14 Apr 2021
Trend Filtering for Functional Data Tomoya Wakayama S. Sugasawa 8 7 0 06 Apr 2021
Transfer Learning for Linear Regression: a Statistical Test of Gain David Obst B. Ghattas Jairo Cugliari G. Oppenheim Sandra Claudel Y. Goude 15 10 0 18 Feb 2021
High-Dimensional Feature Selection for Sample Efficient Treatment Effect Estimation Kristjan Greenewald Dmitriy A. Katz-Rogozhnikov Karthikeyan Shanmugam CML 37 9 0 03 Nov 2020
Precise High-Dimensional Asymptotics for Quantifying Heterogeneous Transfers Fan Yang Hongyang R. Zhang Sen Wu Christopher Ré Weijie J. Su 54 10 0 22 Oct 2020
A No-Free-Lunch Theorem for MultiTask Learning Steve Hanneke Samory Kpotufe 13 39 0 29 Jun 2020
An error bound for Lasso and Group Lasso in high dimensions Antoine Dedieu 11 3 0 21 Dec 2019
ISLET: Fast and Optimal Low-rank Tensor Regression via Importance Sketching Anru R. Zhang Yuetian Luo Garvesh Raskutti M. Yuan 25 44 0 09 Nov 2019
A Two-Stage Approach to Multivariate Linear Regression with Sparsely Mismatched Data M. Slawski E. Ben-David Ping Li 16 45 0 16 Jul 2019
High-dimensional Varying Index Coefficient Models via Stein's Identity Sen Na Zhuoran Yang Zhaoran Wang Mladen Kolar 16 21 0 16 Oct 2018
Prediction and estimation consistency of sparse multi-class penalized optimal scoring Irina Gaynanova 19 11 0 12 Sep 2018
Integrative Multi-View Reduced-Rank Regression: Bridging Group-Sparse and Low-Rank Models Gen Li Xiaokang Liu Kun Chen 16 6 0 26 Jul 2018
An Interactive Greedy Approach to Group Sparsity in High Dimensions Wei Qian Wending Li Yasuhiro Sogawa R. Fujimaki Xitong Yang Ji Liu 11 7 0 10 Jul 2017
Robust Regression via Mutivariate Regression Depth Chao Gao 24 48 0 15 Feb 2017
Towards the study of least squares estimators with convex penalty Pierre C. Bellec Guillaume Lecué Alexandre B. Tsybakov 20 11 0 31 Jan 2017
Variable selection and structure identification for varying coefficient Cox models Toshio Honda Ryota Yabe 27 9 0 19 Jul 2016
Robust Reduced Rank Regression Yiyuan She Kun Chen 10 58 0 14 Sep 2015
A General Framework for Bayes Structured Linear Models Chao Gao A. van der Vaart Harrison H. Zhou 32 58 0 06 Jun 2015
The Benefit of Multitask Representation Learning Andreas Maurer Massimiliano Pontil Bernardino Romera-Paredes SSL 37 373 0 23 May 2015
Provably Correct Algorithms for Matrix Column Subset Selection with Selectively Sampled Data Yining Wang Aarti Singh 19 22 0 17 May 2015
Graph Connectivity in Noisy Sparse Subspace Clustering Yining Wang Yu-Xiang Wang Aarti Singh 30 9 0 04 Apr 2015
Pathwise Coordinate Optimization for Sparse Learning: Algorithm and Theory T. Zhao Han Liu Tong Zhang 32 46 0 23 Dec 2014
The Benefit of Group Sparsity in Group Inference with De-biased Scaled Group Lasso Ritwik Mitra Cun-Hui Zhang 39 46 0 13 Dec 2014
Group Regularized Estimation under Structural Hierarchy Yiyuan She Zhifeng Wang He Jiang 43 47 0 17 Nov 2014
Structured Estimation in Nonparameteric Cox Model Jelena Bradic R. Song 55 10 0 18 Jul 2012
Weakly decomposable regularization penalties and structured sparsity Sara van de Geer 80 63 0 21 Apr 2012
Group Lasso with Overlaps: the Latent Group Lasso approach G. Obozinski Laurent Jacob Jean-Philippe Vert 67 181 0 03 Oct 2011
Sparse Estimation by Exponential Weighting Philippe Rigollet Alexandre B. Tsybakov 67 121 0 25 Aug 2011
Structured Sparsity and Generalization Andreas Maurer Massimiliano Pontil 73 63 0 17 Aug 2011
Tight conditions for consistent variable selection in high dimensional nonparametric regression L. Comminges A. Dalalyan 68 15 0 17 Feb 2011
Group Lasso estimation of high-dimensional covariance matrices Jérémie Bigot R. Biscay Jean-Michel Loubes Lilian Muñiz Alvarez 82 14 0 08 Oct 2010
Union Support Recovery in Multi-task Learning Mladen Kolar John D. Lafferty Larry A. Wasserman 80 60 0 31 Aug 2010
Taking Advantage of Sparsity in Multi-Task Learning Karim Lounici Massimiliano Pontil Alexandre B. Tsybakov Sara van de Geer 181 292 0 09 Mar 2009
High-dimensional additive modeling L. Meier Sara van de Geer Peter Buhlmann 186 482 0 25 Jun 2008
High-dimensional generalized linear models and the lasso Sara van de Geer 189 750 0 04 Apr 2008