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High-Temperature Structure Detection in Ferromagnets

21 September 2018

Papers citing "High-Temperature Structure Detection in Ferromagnets"

33 / 33 papers shown

Title
More Supervision, Less Computation: Statistical-Computational Tradeoffs in Weakly Supervised Learning Xinyang Yi Zhaoran Wang Zhuoran Yang Constantine Caramanis Han Liu 107 6 0 14 Jul 2019
Optimal Average-Case Reductions to Sparse PCA: From Weak Assumptions to Strong Hardness Matthew Brennan Guy Bresler 62 51 0 20 Feb 2019
Curse of Heterogeneity: Computational Barriers in Sparse Mixture Models and Phase Retrieval Jianqing Fan Han Liu Zhaoran Wang Zhuoran Yang 118 22 0 21 Aug 2018
Reducibility and Computational Lower Bounds for Problems with Planted Sparse Structure Matthew Brennan Guy Bresler Wasim Huleihel 110 110 0 19 Jun 2018
Property Testing in High Dimensional Ising models Matey Neykov Han Liu 45 20 0 20 Sep 2017
Adaptive Inferential Method for Monotone Graph Invariants Junwei Lu Matey Neykov Han Liu 51 4 0 28 Jul 2017
Optimal structure and parameter learning of Ising models A. Lokhov Marc Vuffray Sidhant Misra Michael Chertkov 82 80 0 15 Dec 2016
Exact recovery in the Ising blockmodel Quentin Berthet Philippe Rigollet P. Srivastava TPM 102 45 0 12 Dec 2016
Testing Ising Models C. Daskalakis Nishanth Dikkala Gautam Kamath 85 101 0 09 Dec 2016
Global Testing Against Sparse Alternatives under Ising Models Rajarshi Mukherjee Soumendu Sundar Mukherjee Ming Yuan 48 27 0 24 Nov 2016
Combinatorial Inference for Graphical Models Matey Neykov Junwei Lu Han Liu TPM 28 21 0 10 Aug 2016
Interaction Screening: Efficient and Sample-Optimal Learning of Ising Models Marc Vuffray Sidhant Misra A. Lokhov Michael Chertkov 70 111 0 24 May 2016
Sharp Computational-Statistical Phase Transitions via Oracle Computational Model Zhaoran Wang Quanquan Gu Han Liu 141 12 0 30 Dec 2015
A Unified Theory of Confidence Regions and Testing for High Dimensional Estimating Equations Matey Neykov Y. Ning Jun S. Liu Han Liu 69 77 0 30 Oct 2015
Inference in Ising Models B. Bhattacharya Soumendu Sundar Mukherjee 79 58 0 25 Jul 2015
Detecting Markov Random Fields Hidden in White Noise E. Arias-Castro Sébastien Bubeck Gábor Lugosi Nicolas Verzélen 68 12 0 27 Apr 2015
Local and Global Inference for High Dimensional Nonparanormal Graphical Models Quanquan Gu Yuanbin Cao Y. Ning Han Liu 57 20 0 09 Feb 2015
Central Limit Theorems and Bootstrap in High Dimensions Victor Chernozhukov Denis Chetverikov Kengo Kato 79 313 0 11 Dec 2014
Efficiently learning Ising models on arbitrary graphs Guy Bresler 94 204 0 22 Nov 2014
On the Information Theoretic Limits of Learning Ising Models Karthikeyan Shanmugam Rashish Tandon A. Dimakis Pradeep Ravikumar 76 36 0 05 Nov 2014
Sparse CCA: Adaptive Estimation and Computational Barriers Chao Gao Zongming Ma Harrison H. Zhou 139 154 0 30 Sep 2014
Confidence intervals for high-dimensional inverse covariance estimation Jana Janková Sara van de Geer 123 187 0 26 Mar 2014
Asymptotic normality and optimalities in estimation of large Gaussian graphical models Zhao Ren Tingni Sun Cun-Hui Zhang Harrison H. Zhou 169 246 0 24 Sep 2013
Computational barriers in minimax submatrix detection Zongming Ma Yihong Wu 217 152 0 23 Sep 2013
Detecting positive correlations in a multivariate sample E. Arias-Castro Sébastien Bubeck Gábor Lugosi 103 40 0 24 Feb 2012
Optimal detection of sparse principal components in high dimension Quentin Berthet Philippe Rigollet 128 284 0 23 Feb 2012
Detection of correlations E. Arias-Castro Sébastien Bubeck Gábor Lugosi 104 62 0 06 Jun 2011
$High-dimensional Ising model selection using ${\ell_1}$-regularized logistic regression$ High-dimensional Ising model selection using ${\ell_1}$ -regularized logistic regression Pradeep Ravikumar Martin J. Wainwright John D. Lafferty 282 956 0 02 Oct 2010
Which graphical models are difficult to learn? Andrea Montanari J. A. Pereira 93 90 0 30 Oct 2009
On combinatorial testing problems L. Addario-Berry N. Broutin Luc Devroye Gábor Lugosi 115 114 0 24 Aug 2009
Information-theoretic limits of selecting binary graphical models in high dimensions N. Santhanam Martin J. Wainwright 149 204 0 16 May 2009
The Nonparanormal: Semiparametric Estimation of High Dimensional Undirected Graphs Han Liu John D. Lafferty Larry A. Wasserman 145 764 0 03 Mar 2009
$High-dimensional covariance estimation by minimizing $\ell_1$-penalized log-determinant divergence$ High-dimensional covariance estimation by minimizing $\ell_1$ -penalized log-determinant divergence Pradeep Ravikumar Martin J. Wainwright Garvesh Raskutti Bin Yu 253 873 0 21 Nov 2008