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 / 293 papers shown

Title
Early-Stopped Mirror Descent for Linear Regression over Convex Bodies Tobias Wegel Gil Kur Patrick Rebeschini 61 0 0 05 Mar 2025
Linear Bandits with Partially Observable Features Wonyoung Hedge Kim Sungwoo Park G. Iyengar A. Zeevi Min Hwan Oh 53 0 0 10 Feb 2025
Sparse Linear Regression: Sequential Convex Relaxation, Robust Restricted Null Space Property, and Variable Selection Shujun Bi Yonghua Yang S. Pan 27 0 0 02 Nov 2024
High-Dimensional Confidence Regions in Sparse MRI Frederik Hoppe Felix Krahmer C. M. Verdun Marion I. Menzel Holger Rauhut 31 5 0 18 Jul 2024
Transfer Learning for Spatial Autoregressive Models Hao Zeng Wei Zhong Xingbai Xu 31 0 0 20 May 2024
A note on the minimax risk of sparse linear regression Yilin Guo Shubhangi Ghosh Haolei Weng A. Maleki 25 2 0 08 May 2024
Lasso with Latents: Efficient Estimation, Covariate Rescaling, and Computational-Statistical Gaps Jonathan A. Kelner Frederic Koehler Raghu Meka Dhruv Rohatgi 26 1 0 23 Feb 2024
Fixed-Budget Best-Arm Identification in Sparse Linear Bandits Recep Can Yavas Vincent Y. F. Tan 20 2 0 01 Nov 2023
Causal Discovery with Generalized Linear Models through Peeling Algorithms Minjie Wang Xiaotong Shen Wei Pan CML 21 0 0 25 Oct 2023
A Doubly Robust Approach to Sparse Reinforcement Learning Wonyoung Hedge Kim Garud Iyengar A. Zeevi 25 3 0 23 Oct 2023
Testing High-Dimensional Mediation Effect with Arbitrary Exposure-Mediator Coefficients Yinan Lin Zijian Guo Baoluo Sun Zhenhua Lin 9 3 0 09 Oct 2023
Assessing Electricity Service Unfairness with Transfer Counterfactual Learning S. Wei Xiangrui Kong Á. Xavier Shixiang Zhu Yao Xie Feng Qiu 21 1 0 05 Oct 2023
Anytime Model Selection in Linear Bandits Parnian Kassraie N. Emmenegger Andreas Krause Aldo Pacchiano 41 2 0 24 Jul 2023
An extended latent factor framework for ill-posed linear regression G. Finocchio Tatyana Krivobokova 31 2 0 17 Jul 2023
Unified Transfer Learning Models in High-Dimensional Linear Regression S. Liu 20 5 0 01 Jul 2023
High-dimensional Contextual Bandit Problem without Sparsity Junpei Komiyama Masaaki Imaizumi 27 0 0 19 Jun 2023
Feature Adaptation for Sparse Linear Regression Jonathan A. Kelner Frederic Koehler Raghu Meka Dhruv Rohatgi 17 5 0 26 May 2023
Extremes in High Dimensions: Methods and Scalable Algorithms Johannes Lederer M. Oesting 29 10 0 07 Mar 2023
Statistical Inference and Large-scale Multiple Testing for High-dimensional Regression Models T. Tony Cai Zijian Guo Yin Xia 61 6 0 25 Jan 2023
Understanding Best Subset Selection: A Tale of Two C(omplex)ities Saptarshi Roy Ambuj Tewari Ziwei Zhu 12 0 0 16 Jan 2023
Distributed Sparse Linear Regression under Communication Constraints R. Fonseca B. Nadler FedML 11 2 0 09 Jan 2023
Uncertainty quantification for sparse Fourier recovery F. Hoppe Felix Krahmer C. M. Verdun Marion I. Menzel Holger Rauhut 27 7 0 30 Dec 2022
Robust and Tuning-Free Sparse Linear Regression via Square-Root Slope Stanislav Minsker M. Ndaoud Lan Wang 32 8 0 30 Oct 2022
Simultaneous off-the-grid learning of mixtures issued from a continuous dictionary C. Butucea Jean-François Delmas A. Dutfoy Clément Hardy 83 0 0 27 Oct 2022
Improving Group Lasso for high-dimensional categorical data Szymon Nowakowski P. Pokarowski Wojciech Rejchel Agnieszka Sołtys 20 0 0 25 Oct 2022
Stochastic Mirror Descent for Large-Scale Sparse Recovery Sasila Ilandarideva Yannis Bekri A. Juditsky Vianney Perchet 25 1 0 23 Oct 2022
Bregman Divergence-Based Data Integration with Application to Polygenic Risk Score (PRS) Heterogeneity Adjustment Qinmengge Li M. Patrick Haihan Zhang Chachrit Khunsriraksakul P. Stuart ... James T. Elder Dajiang J. Liu Jian Kang L. Tsoi Kevin He 34 0 0 12 Oct 2022
Robust Methods for High-Dimensional Linear Learning Ibrahim Merad Stéphane Gaïffas OOD 43 3 0 10 Aug 2022
High dimensional stochastic linear contextual bandit with missing covariates Byoungwook Jang Julia Nepper M. Chevrette J. Handelsman Alfred Hero 17 0 0 22 Jul 2022
High Dimensional Generalised Penalised Least Squares Ilias Chronopoulos Katerina Chrysikou G. Kapetanios 15 2 0 14 Jul 2022
On the instrumental variable estimation with many weak and invalid instruments Yiqi Lin F. Windmeijer Xinyuan Song Qingliang Fan 9 8 0 07 Jul 2022
An efficient GPU-Parallel Coordinate Descent Algorithm for Sparse Precision Matrix Estimation via Scaled Lasso Seunghwan Lee Sang Cheol Kim Donghyeon Yu 9 0 0 28 Mar 2022
Sparse Neural Additive Model: Interpretable Deep Learning with Feature Selection via Group Sparsity Shiyun Xu Zhiqi Bu Pratik Chaudhari Ian J. Barnett 19 21 0 25 Feb 2022
Trace norm regularization for multi-task learning with scarce data Etienne Boursier Mikhail Konobeev Nicolas Flammarion 11 11 0 14 Feb 2022
High-dimensional Inference and FDR Control for Simulated Markov Random Fields Haoyu Wei Xiaoyu Lei Yixin Han Huiming Zhang 17 0 0 11 Feb 2022
High-dimensional variable selection with heterogeneous signals: A precise asymptotic perspective Saptarshi Roy Ambuj Tewari Ziwei Zhu 11 4 0 05 Jan 2022
Supervised Homogeneity Fusion: a Combinatorial Approach Wen Wang Shihao Wu Ziwei Zhu Ling Zhou P. Song 16 1 0 04 Jan 2022
Analysis of Generalized Bregman Surrogate Algorithms for Nonsmooth Nonconvex Statistical Learning Yiyuan She Zhifeng Wang Jiuwu Jin 16 7 0 16 Dec 2021
Gaining Outlier Resistance with Progressive Quantiles: Fast Algorithms and Theoretical Studies Yiyuan She Zhifeng Wang Jiahui Shen 11 11 0 15 Dec 2021
Optimistic Rates: A Unifying Theory for Interpolation Learning and Regularization in Linear Regression Lijia Zhou Frederic Koehler Danica J. Sutherland Nathan Srebro 92 24 0 08 Dec 2021
Distributed Sparse Regression via Penalization Yao Ji G. Scutari Ying Sun Harsha Honnappa 20 5 0 12 Nov 2021
Multiple-Splitting Projection Test for High-Dimensional Mean Vectors Wanjun Liu Xiufan Yu Runze Li 20 13 0 29 Oct 2021
Topologically penalized regression on manifolds Olympio Hacquard Krishnakumar Balasubramanian Gilles Blanchard Clément Levrard W. Polonik 14 4 0 26 Oct 2021
High-dimensional regression with potential prior information on variable importance B. Stokell Rajen Dinesh Shah 28 0 0 23 Sep 2021
On the Power of Preconditioning in Sparse Linear Regression Jonathan A. Kelner Frederic Koehler Raghu Meka Dhruv Rohatgi 11 14 0 17 Jun 2021
Surrogate Assisted Semi-supervised Inference for High Dimensional Risk Prediction Jue Hou Zijian Guo Tianxi Cai 6 14 0 04 May 2021
Inferring serial correlation with dynamic backgrounds S. Wei Yao Xie D. Rahnev 10 7 0 26 Jan 2021
Bayesian inference in high-dimensional models Sayantan Banerjee I. Castillo S. Ghosal 49 22 0 12 Jan 2021
Outlier-robust sparse/low-rank least-squares regression and robust matrix completion Philip Thompson 19 9 0 12 Dec 2020
Adaptive Estimation In High-Dimensional Additive Models With Multi-Resolution Group Lasso Yi-Bo Yao Cun-Hui Zhang 33 0 0 13 Nov 2020