A Unified Framework for High-Dimensional Analysis of M-Estimators with Decomposable Regularizers

13 October 2010

Papers citing "A Unified Framework for High-Dimensional Analysis of M-Estimators with Decomposable Regularizers"

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Title
Robust Compressed Sensing using Generative Models A. Jalal Liu Liu A. Dimakis C. Caramanis 21 39 0 16 Jun 2020
High-Dimensional Granger Causality Tests with an Application to VIX and News Andrii Babii Eric Ghysels Jonas Striaukas 27 100 0 13 Dec 2019
Direct Estimation of Differential Functional Graphical Models Boxin Zhao Y Samuel Wang Mladen Kolar 21 15 0 22 Oct 2019
Does SLOPE outperform bridge regression? Shuaiwen Wang Haolei Weng A. Maleki 15 19 0 20 Sep 2019
On rank estimators in increasing dimensions Yanqin Fan Fang Han Wei Li Xiao‐Hua Zhou 28 16 0 14 Aug 2019
A Survey of Tuning Parameter Selection for High-dimensional Regression Y. Wu Lan Wang 45 35 0 10 Aug 2019
Method of Contraction-Expansion (MOCE) for Simultaneous Inference in Linear Models Fei Wang Ling Zhou Lu Tang P. Song 25 4 0 04 Aug 2019
Fast and Provable ADMM for Learning with Generative Priors Fabian Latorre Gómez Armin Eftekhari V. Cevher GAN 30 43 0 07 Jul 2019
Policy Targeting under Network Interference Davide Viviano 38 33 0 24 Jun 2019
Learning Sparse Dynamical Systems from a Single Sample Trajectory S. Fattahi Nikolai Matni Somayeh Sojoudi 26 40 0 20 Apr 2019
$A unifying approach for doubly-robust $\ell_1$ regularized estimation of causal contrasts$ A unifying approach for doubly-robust $\ell_1$ regularized estimation of causal contrasts Ezequiel Smucler A. Rotnitzky J. M. Robins CML 27 77 0 07 Apr 2019
High-Dimensional Bernoulli Autoregressive Process with Long-Range Dependence Parthe Pandit Mojtaba Sahraee-Ardakan Arash A. Amini S. Rangan A. Fletcher 23 0 0 19 Mar 2019
Distributed Learning with Sublinear Communication Jayadev Acharya Christopher De Sa Dylan J. Foster Karthik Sridharan FedML 21 40 0 28 Feb 2019
High Dimensional Robust $M$ -Estimation: Arbitrary Corruption and Heavy Tails L. Liu Tianyang Li C. Caramanis 21 14 0 24 Jan 2019
Carving model-free inference Marvin Aron Kennis 16 11 0 07 Nov 2018
Nuclear Norm Regularized Estimation of Panel Regression Models M. Weidner H. Moon 27 48 0 25 Oct 2018
Error bounds for sparse classifiers in high-dimensions Antoine Dedieu 27 7 0 07 Oct 2018
Matrix Linear Discriminant Analysis Wei Hu Weining Shen Hua Zhou Dehan Kong 14 22 0 24 Sep 2018
Prediction and estimation consistency of sparse multi-class penalized optimal scoring Irina Gaynanova 33 11 0 12 Sep 2018
Integrative Multi-View Reduced-Rank Regression: Bridging Group-Sparse and Low-Rank Models Gen Li Xiaokang Liu Kun Chen 28 6 0 26 Jul 2018
Compressed Sensing with Deep Image Prior and Learned Regularization Dave Van Veen A. Jalal Mahdi Soltanolkotabi Eric Price S. Vishwanath A. Dimakis 33 178 0 17 Jun 2018
The Right Complexity Measure in Locally Private Estimation: It is not the Fisher Information John C. Duchi Feng Ruan 23 50 0 14 Jun 2018
High-Dimensional Econometrics and Regularized GMM A. Belloni Victor Chernozhukov Denis Chetverikov Christian B. Hansen Kengo Kato 28 67 0 05 Jun 2018
Robust 1-Bit Compressed Sensing via Hinge Loss Minimization Martin Genzel A. Stollenwerk 13 5 0 13 Apr 2018
Moving Beyond Sub-Gaussianity in High-Dimensional Statistics: Applications in Covariance Estimation and Linear Regression Arun K. Kuchibhotla Abhishek Chakrabortty 11 105 0 08 Apr 2018
Graph-based regularization for regression problems with alignment and highly-correlated designs Yuan Li Benjamin Mark Garvesh Raskutti Rebecca Willett Hyebin Song David Neiman 8 23 0 20 Mar 2018
Model-assisted inference for treatment effects using regularized calibrated estimation with high-dimensional data Z. Tan 27 87 0 30 Jan 2018
Non-convex Optimization for Machine Learning Prateek Jain Purushottam Kar 33 479 0 21 Dec 2017
Joint Dictionaries for Zero-Shot Learning Soheil Kolouri Mohammad Rostami Y. Owechko Kyungnam Kim VLM 14 25 0 12 Sep 2017
A Cluster Elastic Net for Multivariate Regression Bradley S. Price Ben Sherwood 33 17 0 12 Jul 2017
Learning Graphical Models Using Multiplicative Weights Adam R. Klivans Raghu Meka 20 112 0 20 Jun 2017
Contextual Explanation Networks Maruan Al-Shedivat Kumar Avinava Dubey Eric Xing CML 37 82 0 29 May 2017
SILVar: Single Index Latent Variable Models Jonathan Mei José M. F. Moura 15 24 0 09 May 2017
An analysis of the SPARSEVA estimate for the finite sample data case Huong Ha J. Welsh C. Rojas B. Wahlberg 18 1 0 27 Mar 2017
Sparse Poisson Regression with Penalized Weighted Score Function Jinzhu Jia Fang Xie Lihu Xu 36 16 0 11 Mar 2017
Policy Learning with Observational Data Susan Athey Stefan Wager CML OffRL 32 183 0 09 Feb 2017
Towards the study of least squares estimators with convex penalty Pierre C. Bellec Guillaume Lecué Alexandre B. Tsybakov 30 11 0 31 Jan 2017
Optimal structure and parameter learning of Ising models A. Lokhov Marc Vuffray Sidhant Misra Michael Chertkov 33 80 0 15 Dec 2016
Efficient Estimation of Compressible State-Space Models with Application to Calcium Signal Deconvolution A. Kazemipour Ji Liu P. Kanold Min Wu B. Babadi 13 4 0 20 Oct 2016
Dynamic Assortment Personalization in High Dimensions Nathan Kallus Madeleine Udell 31 66 0 18 Oct 2016
A Unified Computational and Statistical Framework for Nonconvex Low-Rank Matrix Estimation Lingxiao Wang Xiao Zhang Quanquan Gu 16 80 0 17 Oct 2016
Dynamic Pricing in High-dimensions Adel Javanmard Hamid Nazerzadeh 69 136 0 24 Sep 2016
Balancing Statistical and Computational Precision: A General Theory and Applications to Sparse Regression Mahsa Taheri Néhémy Lim Johannes Lederer 28 3 0 23 Sep 2016
Robust Confidence Intervals in High-Dimensional Left-Censored Regression Jelena Bradic Jiaqi Guo 15 1 0 22 Sep 2016
Fast Algorithms for Demixing Sparse Signals from Nonlinear Observations Mohammadreza Soltani C. Hegde 27 29 0 03 Aug 2016
MAGIC: a general, powerful and tractable method for selective inference Xiaoying Tian Nan Bi Jonathan E. Taylor 23 22 0 09 Jul 2016
Quantile Graphical Models: Prediction and Conditional Independence with Applications to Systemic Risk A. Belloni Mingli Chen Victor Chernozhukov 21 7 0 01 Jul 2016
Structured Stochastic Linear Bandits Nicholas Johnson V. Sivakumar A. Banerjee 28 11 0 17 Jun 2016
Efficient Distributed Learning with Sparsity Jialei Wang Mladen Kolar Nathan Srebro Tong Zhang FedML 29 151 0 25 May 2016
Interaction Screening: Efficient and Sample-Optimal Learning of Ising Models Marc Vuffray Sidhant Misra A. Lokhov Michael Chertkov 14 110 0 24 May 2016