High Dimensional Expectation-Maximization Algorithm: Statistical Optimization and Asymptotic Normality

30 December 2014

Quanquan Gu

Papers citing "High Dimensional Expectation-Maximization Algorithm: Statistical Optimization and Asymptotic Normality"

21 / 21 papers shown

Title
Analyzing Tensor Power Method Dynamics in Overcomplete Regime Anima Anandkumar Rong Ge Majid Janzamin 70 27 0 06 Nov 2014
Statistical guarantees for the EM algorithm: From population to sample-based analysis Sivaraman Balakrishnan Martin J. Wainwright Bin Yu 108 477 0 09 Aug 2014
Sample Complexity Analysis for Learning Overcomplete Latent Variable Models through Tensor Methods Anima Anandkumar Rong Ge Majid Janzamin 116 5 0 03 Aug 2014
Exact post-selection inference, with application to the lasso Jason D. Lee Dennis L. Sun Yuekai Sun Jonathan E. Taylor 153 730 0 25 Nov 2013
Gradient Hard Thresholding Pursuit for Sparsity-Constrained Optimization Xiao-Tong Yuan Ping Li Tong Zhang 119 113 0 22 Nov 2013
Spectral Experts for Estimating Mixtures of Linear Regressions Arun Tejasvi Chaganty Percy Liang 56 142 0 17 Jun 2013
Confidence Intervals and Hypothesis Testing for High-Dimensional Regression Adel Javanmard Andrea Montanari 152 766 0 13 Jun 2013
Supplementary Appendix for "Inference on Treatment Effects After Selection Amongst High-Dimensional Controls" A. Belloni Victor Chernozhukov Christian B. Hansen 185 1,401 0 27 May 2013
Post-Selection Inference for Generalized Linear Models with Many Controls A. Belloni Victor Chernozhukov Ying Wei 85 190 0 15 Apr 2013
On asymptotically optimal confidence regions and tests for high-dimensional models Sara van de Geer Peter Buhlmann Yaácov Ritov Ruben Dezeure 152 1,130 0 03 Mar 2013
A significance test for the lasso R. Lockhart Jonathan E. Taylor Robert Tibshirani Robert Tibshirani 199 658 0 30 Jan 2013
A Two-round Variant of EM for Gaussian Mixtures S. Dasgupta Leonard J. Schulman 99 166 0 16 Jan 2013
Tensor decompositions for learning latent variable models Anima Anandkumar Rong Ge Daniel J. Hsu Sham Kakade Matus Telgarsky 273 1,142 0 29 Oct 2012
Confidence sets in sparse regression Richard Nickl Sara van de Geer 89 111 0 07 Sep 2012
On EM algorithms and their proximal generalizations Stéphane Chrétien Alfred Hero FedML 89 47 0 27 Jan 2012
Truncated Power Method for Sparse Eigenvalue Problems Xiao-Tong Yuan Tong Zhang 67 328 0 12 Dec 2011
Sparse Models and Methods for Optimal Instruments with an Application to Eminent Domain A. Belloni Daniel L. Chen Victor Chernozhukov Christian B. Hansen 131 554 0 21 Oct 2010
Learning Mixtures of Gaussians using the k-means Algorithm Kamalika Chaudhuri S. Dasgupta Andrea Vattani 135 35 0 01 Dec 2009
P-values for high-dimensional regression N. Meinshausen L. Meier Peter Buhlmann 110 440 0 13 Nov 2008
Simultaneous analysis of Lasso and Dantzig selector Peter J. Bickel Yaácov Ritov Alexandre B. Tsybakov 327 2,527 0 07 Jan 2008
High-dimensional variable selection Larry Wasserman Kathryn Roeder 315 579 0 09 Apr 2007