Simultaneous analysis of Lasso and Dantzig selector

7 January 2008

Papers citing "Simultaneous analysis of Lasso and Dantzig selector"

50 / 504 papers shown

Title
Personalized Federated Learning under Model Dissimilarity Constraints Samuel Erickson Mikael Johansson FedML 35 0 0 12 May 2025
Mallows-type model averaging: Non-asymptotic analysis and all-subset combination Jingfu Peng MoMe 37 0 0 05 May 2025
Centroid Decision Forest Amjad Ali Zardad Khan Saeed Aldahmani 37 0 0 25 Mar 2025
Sparse Nonparametric Contextual Bandits Hamish Flynn Julia Olkhovskaya Paul Rognon-Vael 51 0 0 20 Mar 2025
Early-Stopped Mirror Descent for Linear Regression over Convex Bodies Tobias Wegel Gil Kur Patrick Rebeschini 61 0 0 05 Mar 2025
Nonparametric Heterogeneous Long-term Causal Effect Estimation via Data Combination Weilin Chen Ruichu Cai Junjie Wan Zeqin Yang José Miguel Hernández-Lobato 51 1 0 26 Feb 2025
Concentration Inequalities for Statistical Inference Huiming Zhang Songxi Chen 46 63 0 24 Feb 2025
Treatment Effect Estimation with Observational Network Data using Machine Learning Corinne Emmenegger Meta-Lina Spohn Timon Elmer Peter Buhlmann CML 60 3 1 20 Jan 2025
Linear Causal Bandits: Unknown Graph and Soft Interventions Zirui Yan A. Tajer CML 32 1 0 04 Nov 2024
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
Statistical Inference in High-dimensional Poisson Regression with Applications to Mediation Analysis Prabrisha Rakshit Zijian Guo 28 1 0 28 Oct 2024
Annotation Efficiency: Identifying Hard Samples via Blocked Sparse Linear Bandits Adit Jain Soumyabrata Pal Sunav Choudhary Ramasuri Narayanam Vikram Krishnamurthy 21 1 0 26 Oct 2024
Non-parametric efficient estimation of marginal structural models with multi-valued time-varying treatments Axel Martin Michele Santacatterina Iván Díaz 24 1 0 27 Sep 2024
A Hybrid Registration and Fusion Method for Hyperspectral Super-resolution Kunjing Yang Minru Bai TingLu 31 0 0 07 Jul 2024
Profiled Transfer Learning for High Dimensional Linear Model Ziqian Lin Junlong Zhao Fang Wang Han Wang 39 1 0 02 Jun 2024
High-dimensional (Group) Adversarial Training in Linear Regression Yiling Xie Xiaoming Huo 27 1 0 22 May 2024
Conformal Online Auction Design Jiale Han Xiaowu Dai 21 2 0 11 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
Tuning parameter selection in econometrics Denis Chetverikov 24 2 0 05 May 2024
$On properties of fractional posterior in generalized reduced-rank regression$ On properties of fractional posterior in generalized reduced-rank regression The Tien Mai 28 1 0 27 Apr 2024
Conformal prediction for multi-dimensional time series by ellipsoidal sets Chen Xu Hanyang Jiang Yao Xie 27 20 0 06 Mar 2024
Applied Causal Inference Powered by ML and AI Victor Chernozhukov Christian Hansen Nathan Kallus Martin Spindler Vasilis Syrgkanis CML 34 29 0 04 Mar 2024
Bagged Deep Image Prior for Recovering Images in the Presence of Speckle Noise Xi Chen Zhewen Hou Christopher A. Metzler A. Maleki S. Jalali 26 5 0 23 Feb 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
Structure-agnostic Optimality of Doubly Robust Learning for Treatment Effect Estimation Jikai Jin Vasilis Syrgkanis CML 67 1 0 22 Feb 2024
DoubleMLDeep: Estimation of Causal Effects with Multimodal Data Sven Klaassen Jan Teichert-Kluge Philipp Bach Victor Chernozhukov Martin Spindler Suhas Vijaykumar BDL CML 18 6 0 01 Feb 2024
A review of regularised estimation methods and cross-validation in spatiotemporal statistics Philipp Otto A. Fassò Paolo Maranzano 22 1 0 31 Jan 2024
Hierarchical Bayesian Inverse Problems: A High-Dimensional Statistics Viewpoint D. Sanz-Alonso Nathan Waniorek 20 0 0 05 Jan 2024
Universality in block dependent linear models with applications to nonparametric regression Samriddha Lahiry Pragya Sur 23 1 0 30 Dec 2023
Step and Smooth Decompositions as Topological Clustering Luciano Vinas Arash A. Amini 14 0 0 09 Nov 2023
High-Dimensional Statistics Philippe Rigollet Jan-Christian Hütter 6 0 0 30 Oct 2023
Covariance Operator Estimation: Sparsity, Lengthscale, and Ensemble Kalman Filters Omar Al Ghattas Jiaheng Chen D. Sanz-Alonso Nathan Waniorek 21 4 0 25 Oct 2023
On Adaptive confidence Ellipsoids for sparse high dimensional linear models Xiaoyang Xie 11 0 0 24 Oct 2023
A non-asymptotic analysis of the single component PLS regression Luca Castelli Clément Marteau Irene Gannaz 11 1 0 16 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
CoLiDE: Concomitant Linear DAG Estimation S. S. Saboksayr Gonzalo Mateos Mariano Tepper CML 33 4 0 04 Oct 2023
Exploring and Learning in Sparse Linear MDPs without Computationally Intractable Oracles Noah Golowich Ankur Moitra Dhruv Rohatgi 22 5 0 18 Sep 2023
Solving Quadratic Systems with Full-Rank Matrices Using Sparse or Generative Priors Junren Chen Shuai Huang Michael K. Ng Zhaoqiang Liu 15 1 0 16 Sep 2023
Addressing Dynamic and Sparse Qualitative Data: A Hilbert Space Embedding of Categorical Variables Anirban Mukherjee Hannah H. Chang CML 21 0 0 22 Aug 2023
Sharp minimax optimality of LASSO and SLOPE under double sparsity assumption Zhifan Li Yanhang Zhang J. Yin 16 3 0 18 Aug 2023
Varying-coefficients for regional quantile via KNN-based LASSO with applications to health outcome study Seyoung Park Eun Ryung Lee H. Hong 11 2 0 08 Aug 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
$Performance of $\ell_1$ Regularization for Sparse Convex Optimization$ Performance of $\ell_1$ Regularization for Sparse Convex Optimization Kyriakos Axiotis T. Yasuda 25 0 0 14 Jul 2023
Accelerated stochastic approximation with state-dependent noise Sasila Ilandarideva A. Juditsky Guanghui Lan Tianjiao Li 38 8 0 04 Jul 2023
Expected Shortfall LASSO Sander Barendse 22 0 0 03 Jul 2023
Unified Transfer Learning Models in High-Dimensional Linear Regression S. Liu 20 5 0 01 Jul 2023
Semi-Parametric Inference for Doubly Stochastic Spatial Point Processes: An Approximate Penalized Poisson Likelihood Approach Si Cheng J. Wakefield Ali Shojaie 6 0 0 11 Jun 2023
Predicting Rare Events by Shrinking Towards Proportional Odds Gregory Faletto Jacob Bien 20 0 0 30 May 2023
Feature Adaptation for Sparse Linear Regression Jonathan A. Kelner Frederic Koehler Raghu Meka Dhruv Rohatgi 17 5 0 26 May 2023