Thresholded Lasso for high dimensional variable selection and statistical estimation

8 February 2010

Papers citing "Thresholded Lasso for high dimensional variable selection and statistical estimation"

21 / 21 papers shown

Title
Orthogonalized Estimation of Difference of $Q$ -functions Angela Zhou 20 0 0 12 Jun 2024
Dimension-free Relaxation Times of Informed MCMC Samplers on Discrete Spaces Hyunwoong Chang Quan Zhou 27 5 0 05 Apr 2024
Reward-Relevance-Filtered Linear Offline Reinforcement Learning Angela Zhou OffRL 28 3 0 23 Jan 2024
Cooperative Thresholded Lasso for Sparse Linear Bandit Haniyeh Barghi Xiaotong Cheng S. Maghsudi 23 0 0 30 May 2023
Variable Importance Matching for Causal Inference Quinn Lanners Harsh Parikh A. Volfovsky Cynthia Rudin David Page CML 19 1 0 23 Feb 2023
Order-based Structure Learning without Score Equivalence Hyunwoong Chang James Cai Quan Zhou CML OffRL 13 3 0 10 Feb 2022
Thresholded Lasso Bandit Kaito Ariu Kenshi Abe Alexandre Proutière 12 17 0 22 Oct 2020
Image Response Regression via Deep Neural Networks Daiwei Zhang Lexin Li Chandra S. Sripada Jian Kang 6 6 0 17 Jun 2020
Rapid mixing of a Markov chain for an exponentially weighted aggregation estimator D. Pollard Dana Yang 12 2 0 25 Sep 2019
Selection consistency of Lasso-based procedures for misspecified high-dimensional binary model and random regressors M. Kubkowski J. Mielniczuk 16 3 0 10 Jun 2019
No penalty no tears: Least squares in high-dimensional linear models Xiangyu Wang David B. Dunson Chenlei Leng 42 14 0 07 Jun 2015
Calibrating nonconvex penalized regression in ultra-high dimension Lan Wang Yongdai Kim Runze Li 62 169 0 20 Nov 2013
Regularized estimation in sparse high-dimensional time series models Sumanta Basu George Michailidis AI4TS 41 421 0 17 Nov 2013
Combined l_1 and greedy l_0 penalized least squares for linear model selection P. Pokarowski J. Mielniczuk 42 16 0 22 Oct 2013
Model Selection for High-Dimensional Regression under the Generalized Irrepresentability Condition Adel Javanmard Andrea Montanari 59 21 0 02 May 2013
GLMMLasso: An Algorithm for High-Dimensional Generalized Linear Mixed Models Using L1-Penalization Jürg Schelldorfer L. Meier Peter Buhlmann 77 110 0 19 Sep 2011
UPS delivers optimal phase diagram in high-dimensional variable selection Pengsheng Ji Jiashun Jin 62 93 0 25 Oct 2010
An Oracle Approach for Interaction Neighborhood Estimation in Random Fields M. Lerasle D. Takahashi 58 5 0 22 Oct 2010
High-dimensional covariance estimation based on Gaussian graphical models Shuheng Zhou Philipp Rütimann Min Xu Peter Buhlmann 87 91 0 02 Sep 2010
The adaptive and the thresholded Lasso for potentially misspecified models Sara van de Geer Peter Buhlmann Shuheng Zhou 108 3 0 28 Jan 2010
High-dimensional generalized linear models and the lasso Sara van de Geer 178 748 0 04 Apr 2008