Tensor decompositions for learning latent variable models

29 October 2012

Papers citing "Tensor decompositions for learning latent variable models"

32 / 32 papers shown

Title
A Unified MDL-based Binning and Tensor Factorization Framework for PDF Estimation Mustafa Musab Joseph K. Chege Arie Yeredor Martin Haardt 100 0 0 25 Apr 2025
Feature learning from non-Gaussian inputs: the case of Independent Component Analysis in high dimensions Fabiola Ricci Lorenzo Bardone Sebastian Goldt OOD 137 0 0 31 Mar 2025
Permutation Equivariant Neural Networks for Symmetric Tensors Edward Pearce-Crump 124 1 0 14 Mar 2025
Explaining the Success of Nearest Neighbor Methods in Prediction George H. Chen Devavrat Shah OOD 270 146 0 21 Feb 2025
Theory on Mixture-of-Experts in Continual Learning Hongbo Li Sen-Fon Lin Lingjie Duan Yingbin Liang Ness B. Shroff MoE MoMe CLL 228 16 0 20 Feb 2025
Learning Gaussian Multi-Index Models with Gradient Flow: Time Complexity and Directional Convergence Berfin Simsek Amire Bendjeddou Daniel Hsu 114 0 0 13 Nov 2024
Computational and Statistical Guarantees for Tensor-on-Tensor Regression with Tensor Train Decomposition Zhen Qin Zhihui Zhu 147 4 0 10 Jun 2024
A Random Matrix Approach to Low-Multilinear-Rank Tensor Approximation Hugo Lebeau Florent Chatelain Romain Couillet 108 3 0 05 Feb 2024
Lower Bounds for the Convergence of Tensor Power Iteration on Random Overcomplete Models Yuchen Wu Kangjie Zhou 94 6 0 07 Nov 2022
Estimating Appearance Models for Image Segmentation via Tensor Factorization J. F. R. Neto 106 0 0 16 Aug 2022
ISLET: Fast and Optimal Low-rank Tensor Regression via Importance Sketching Anru R. Zhang Yuetian Luo Garvesh Raskutti M. Yuan 129 44 0 09 Nov 2019
Multi-Resolution Weak Supervision for Sequential Data Frederic Sala P. Varma Jason Alan Fries Daniel Y. Fu Shiori Sagawa ... A. Ramamoorthy K. Xiao Kayvon Fatahalian J. Priest Christopher Ré NoLa 101 29 0 21 Oct 2019
Deep Generalized Canonical Correlation Analysis Adrian Benton Huda Khayrallah B. Gujral Dee Ann Reisinger Sheng Zhang R. Arora 90 131 0 08 Feb 2017
Polynomial-time Tensor Decompositions with Sum-of-Squares Tengyu Ma Jonathan Shi David Steurer 152 120 0 06 Oct 2016
Smoothed Analysis of Tensor Decompositions Aditya Bhaskara Moses Charikar Ankur Moitra Aravindan Vijayaraghavan 101 154 0 14 Nov 2013
The More, the Merrier: the Blessing of Dimensionality for Learning Large Gaussian Mixtures Joseph Anderson M. Belkin Navin Goyal Luis Rademacher James R. Voss 86 93 0 12 Nov 2013
Local Loss Optimization in Operator Models: A New Insight into Spectral Learning Borja Balle A. Quattoni X. Carreras 171 51 0 27 Jun 2012
Learning mixtures of spherical Gaussians: moment methods and spectral decompositions Daniel J. Hsu Sham Kakade 107 324 0 25 Jun 2012
Provable ICA with Unknown Gaussian Noise, and Implications for Gaussian Mixtures and Autoencoders Sanjeev Arora Rong Ge Ankur Moitra Sushant Sachdeva 114 86 0 23 Jun 2012
Identifiability and Unmixing of Latent Parse Trees Daniel J. Hsu Sham Kakade Percy Liang 110 38 0 14 Jun 2012
A Spectral Algorithm for Latent Dirichlet Allocation Anima Anandkumar Dean Phillips Foster Daniel J. Hsu Sham Kakade Yi-Kai Liu 132 300 0 30 Apr 2012
Learning Topic Models - Going beyond SVD Sanjeev Arora Rong Ge Ankur Moitra 129 432 0 09 Apr 2012
Spectral dimensionality reduction for HMMs Dean Phillips Foster J. Rodu L. Ungar 119 26 0 28 Mar 2012
A Method of Moments for Mixture Models and Hidden Markov Models Anima Anandkumar Daniel J. Hsu Sham Kakade 124 341 0 03 Mar 2012
Binary Cumulant Varieties Bernd Sturmfels Piotr Zwiernik 111 26 0 01 Mar 2011
Polynomial Learning of Distribution Families M. Belkin Kaushik Sinha 241 224 0 27 Apr 2010
Settling the Polynomial Learnability of Mixtures of Gaussians Ankur Moitra Gregory Valiant 137 341 0 23 Apr 2010
Closing the Learning-Planning Loop with Predictive State Representations Byron Boots S. Siddiqi Geoffrey J. Gordon 201 265 0 12 Dec 2009
Reduced-Rank Hidden Markov Models S. Siddiqi Byron Boots Geoffrey J. Gordon BDL 175 135 0 06 Oct 2009
A Spectral Algorithm for Learning Hidden Markov Models Daniel J. Hsu Sham Kakade Tong Zhang 141 309 0 26 Nov 2008
Identifiability of parameters in latent structure models with many observed variables E. Allman C. Matias J. Rhodes CML 118 532 0 29 Sep 2008
Isotropic PCA and Affine-Invariant Clustering Charles Brubaker Santosh Vempala 131 150 0 22 Apr 2008