On the conditions used to prove oracle results for the Lasso

5 October 2009

Papers citing "On the conditions used to prove oracle results for the Lasso"

50 / 294 papers shown

Title
Adaptive Estimation In High-Dimensional Additive Models With Multi-Resolution Group Lasso Yi-Bo Yao Cun-Hui Zhang 33 0 0 13 Nov 2020
High Dimensional Gaussian Graphical Regression Models with Covariates Jingfei Zhang Yi Li 6 19 0 10 Nov 2020
Online Sparse Reinforcement Learning Botao Hao Tor Lattimore Csaba Szepesvári Mengdi Wang OffRL 6 28 0 08 Nov 2020
Bayesian High-dimensional Semi-parametric Inference beyond sub-Gaussian Errors Kyoungjae Lee Minwoo Chae Lizhen Lin 21 1 0 30 Aug 2020
Error Bounds for Generalized Group Sparsity Xinyu Zhang 6 0 0 08 Aug 2020
Canonical thresholding for non-sparse high-dimensional linear regression I. Silin Jianqing Fan 6 5 0 24 Jul 2020
A Smoothed Analysis of Online Lasso for the Sparse Linear Contextual Bandit Problem Zhiyuan Liu Huazheng Wang Bo Waggoner Youjian Yi Liu Lijun Chen 8 0 0 16 Jul 2020
Sparsity-Agnostic Lasso Bandit Min Hwan Oh G. Iyengar A. Zeevi 18 44 0 16 Jul 2020
Sparse recovery by reduced variance stochastic approximation A. Juditsky A. Kulunchakov Hlib Tsyntseus 16 7 0 11 Jun 2020
Latent Network Structure Learning from High Dimensional Multivariate Point Processes Biao Cai Jingfei Zhang Yongtao Guan 24 18 0 07 Apr 2020
FuDGE: A Method to Estimate a Functional Differential Graph in a High-Dimensional Setting Boxin Zhao Y Samuel Wang Mladen Kolar 11 9 0 11 Mar 2020
False Discovery Rate Control Under General Dependence By Symmetrized Data Aggregation Lilun Du Xu Guo Wenguang Sun Changliang Zou 9 43 0 27 Feb 2020
$Sparse estimation via $\ell_q$ optimization method in high-dimensional linear regression$ Sparse estimation via $\ell_q$ optimization method in high-dimensional linear regression Xuran Li Yaohua Hu Chong Li Xiaoqi Yang T. Jiang 16 0 0 12 Nov 2019
High dimensional regression for regenerative time-series: an application to road traffic modeling M. Bouchouia Franccois Portier AI4TS 12 3 0 24 Oct 2019
ERM and RERM are optimal estimators for regression problems when malicious outliers corrupt the labels Chinot Geoffrey 13 13 0 24 Oct 2019
Double-estimation-friendly inference for high-dimensional misspecified models Rajen Dinesh Shah Peter Buhlmann 18 10 0 24 Sep 2019
Deep Model Reference Adaptive Control Girish Joshi Girish Chowdhary BDL AI4CE 19 57 0 18 Sep 2019
Localizing Changes in High-Dimensional Vector Autoregressive Processes Daren Wang Yi Yu Alessandro Rinaldo Rebecca Willett 37 22 0 12 Sep 2019
Implicit Regularization for Optimal Sparse Recovery Tomas Vaskevicius Varun Kanade Patrick Rebeschini 14 100 0 11 Sep 2019
Doubly-Robust Lasso Bandit Gi-Soo Kim M. Paik 16 60 0 26 Jul 2019
Directing Power Towards Conic Parameter Subspaces Nick W. Koning 16 1 0 11 Jul 2019
Improving Lasso for model selection and prediction P. Pokarowski Wojciech Rejchel Agnieszka Soltys Michal Frej J. Mielniczuk 16 10 0 05 Jul 2019
Estimating Treatment Effect under Additive Hazards Models with High-dimensional Covariates Jue Hou Jelena Bradic R. Xu CML 19 1 0 29 Jun 2019
Control variate selection for Monte Carlo integration Rémi Leluc François Portier Johan Segers 16 15 0 26 Jun 2019
Vector-Valued Graph Trend Filtering with Non-Convex Penalties R. Varma Harlin Lee J. Kovacevic Yuejie Chi 11 33 0 29 May 2019
Learning Gaussian DAGs from Network Data Hangjian Li Oscar Hernan Madrid Padilla Qing Zhou CML 22 2 0 26 May 2019
Structural Equation Models as Computation Graphs E. V. Kesteren Daniel L. Oberski 12 1 0 11 May 2019
Extreme Eigenvalues of Nonlinear Correlation Matrices with Applications to Additive Models Zijian Guo Cun-Hui Zhang 11 3 0 29 Apr 2019
Lasso in infinite dimension: application to variable selection in functional multivariate linear regression A. Roche 21 1 0 29 Mar 2019
Fundamental Barriers to High-Dimensional Regression with Convex Penalties Michael Celentano Andrea Montanari 33 46 0 25 Mar 2019
Inference Without Compatibility Michael Law Yaácov Ritov 19 1 0 14 Mar 2019
Generalized Sparse Additive Models Asad Haris N. Simon Ali Shojaie 11 15 0 11 Mar 2019
Wavelet regression and additive models for irregularly spaced data Asad Haris N. Simon Ali Shojaie 9 5 0 11 Mar 2019
High-dimensional semi-supervised learning: in search for optimal inference of the mean Yuqian Zhang Jelena Bradic 11 26 0 02 Feb 2019
Sparse PCA from Sparse Linear Regression Guy Bresler Sung Min Park Madalina Persu 8 10 0 25 Nov 2018
The distribution of the Lasso: Uniform control over sparse balls and adaptive parameter tuning Léo Miolane Andrea Montanari 12 92 0 03 Nov 2018
RSVP-graphs: Fast High-dimensional Covariance Matrix Estimation under Latent Confounding Rajen Dinesh Shah Benjamin Frot Gian-Andrea Thanei N. Meinshausen 11 6 0 02 Nov 2018
Dantzig Selector with an Approximately Optimal Denoising Matrix and its Application to Reinforcement Learning Bo Liu Luwan Zhang Ji Liu 11 0 0 02 Nov 2018
Finite-sample analysis of M-estimators using self-concordance Dmitrii Ostrovskii Francis R. Bach 20 50 0 16 Oct 2018
Prediction and estimation consistency of sparse multi-class penalized optimal scoring Irina Gaynanova 27 11 0 12 Sep 2018
Analysis of Network Lasso for Semi-Supervised Regression A. Jung N. Vesselinova 11 0 0 22 Aug 2018
Sparse Multivariate ARCH Models: Finite Sample Properties B. Poignard 11 1 0 16 Aug 2018
Logistic regression and Ising networks: prediction and estimation when violating lasso assumptions L. Waldorp M. Marsman G. Maris 20 9 0 28 Jul 2018
Binacox: automatic cut-point detection in high-dimensional Cox model with applications in genetics Simon Bussy Mokhtar Z. Alaya A. Jannot Agathe Guilloux 28 1 0 25 Jul 2018
Sparse space-time models: Concentration Inequalities and Lasso G. Ost Patricia Reynaud-Bouret 11 11 0 19 Jul 2018
M-estimation with the Trimmed l1 Penalty Jihun Yun P. Zheng Eunho Yang A. Lozano Aleksandr Aravkin 17 0 0 19 May 2018
Global and Simultaneous Hypothesis Testing for High-Dimensional Logistic Regression Models Rong Ma T. Tony Cai Hongzhe Li 13 65 0 17 May 2018
Minimax regularization Raphaël Deswarte Guillaume Lecué 10 0 0 17 May 2018
Model selection with lasso-zero: adding straw to the haystack to better find needles Pascaline Descloux S. Sardy 44 10 0 14 May 2018
On the Post Selection Inference constant under Restricted Isometry Properties F. Bachoc Gilles Blanchard P. Neuvial 12 18 0 20 Apr 2018