Spectral Learning on Matrices and Tensors

16 April 2020

Papers citing "Spectral Learning on Matrices and Tensors"

35 / 35 papers shown

Title
T-Net: Parametrizing Fully Convolutional Nets with a Single High-Order Tensor Jean Kossaifi Adrian Bulat Georgios Tzimiropoulos Maja Pantic 30 67 0 04 Apr 2019
Tensor Dropout for Robust Learning Arinbjorn Kolbeinsson Jean Kossaifi Yannis Panagakis Adrian Bulat Anima Anandkumar I. Tzoulaki Paul Matthews OOD 97 2 0 27 Feb 2019
Introduction to Tensor Decompositions and their Applications in Machine Learning Stephan Rabanser Oleksandr Shchur Stephan Günnemann AI4CE 23 206 0 29 Nov 2017
Tensor Regression Networks Jean Kossaifi Zachary Chase Lipton Arinbjorn Kolbeinsson Aran Khanna Tommaso Furlanello Anima Anandkumar 3DV 55 146 0 26 Jul 2017
Tensor Contraction Layers for Parsimonious Deep Nets Jean Kossaifi Aran Khanna Zachary Chase Lipton Tommaso Furlanello Anima Anandkumar 41 60 0 01 Jun 2017
Exact tensor completion with sum-of-squares Aaron Potechin David Steurer 73 80 0 21 Feb 2017
CP-decomposition with Tensor Power Method for Convolutional Neural Networks Compression Marcella Astrid Seung-Ik Lee 18 83 0 25 Jan 2017
Provable learning of Noisy-or Networks Sanjeev Arora Rong Ge Tengyu Ma Andrej Risteski 44 26 0 28 Dec 2016
TensorLy: Tensor Learning in Python Jean Kossaifi Yannis Panagakis Anima Anandkumar Maja Pantic 51 352 0 29 Oct 2016
Homotopy Analysis for Tensor PCA Anima Anandkumar Yuan-bei Deng Rong Ge H. Mobahi 44 43 0 28 Oct 2016
Polynomial-time Tensor Decompositions with Sum-of-Squares Tengyu Ma Jonathan Shi David Steurer 108 120 0 06 Oct 2016
First Efficient Convergence for Streaming k-PCA: a Global, Gap-Free, and Near-Optimal Rate Zeyuan Allen-Zhu Yuanzhi Li 60 100 0 26 Jul 2016
Doubly Accelerated Methods for Faster CCA and Generalized Eigendecomposition Zeyuan Allen-Zhu Yuanzhi Li 41 51 0 20 Jul 2016
Tensor Decomposition for Signal Processing and Machine Learning N. Sidiropoulos L. De Lathauwer Xiao Fu Kejun Huang Evangelos E. Papalexakis Christos Faloutsos 132 1,350 0 06 Jul 2016
Efficient Algorithms for Large-scale Generalized Eigenvector Computation and Canonical Correlation Analysis Rong Ge Chi Jin Sham Kakade Praneeth Netrapalli Aaron Sidford 37 78 0 13 Apr 2016
Compression of Deep Convolutional Neural Networks for Fast and Low Power Mobile Applications Yong-Deok Kim Eunhyeok Park S. Yoo Taelim Choi Lu Yang Dongjun Shin 51 891 0 20 Nov 2015
Convolutional neural networks with low-rank regularization Cheng Tai Tong Xiao Yi Zhang Xiaogang Wang E. Weinan BDL 52 460 0 19 Nov 2015
Tensorizing Neural Networks Alexander Novikov D. Podoprikhin A. Osokin Dmitry Vetrov 64 879 0 22 Sep 2015
Tensor principal component analysis via sum-of-squares proofs Samuel B. Hopkins Jonathan Shi David Steurer 80 162 0 12 Jul 2015
Decomposing Overcomplete 3rd Order Tensors using Sum-of-Squares Algorithms Rong Ge Tengyu Ma 86 65 0 21 Apr 2015
Escaping From Saddle Points --- Online Stochastic Gradient for Tensor Decomposition Rong Ge Furong Huang Chi Jin Yang Yuan 102 1,056 0 06 Mar 2015
Learning Mixtures of Gaussians in High Dimensions Rong Ge Qingqing Huang Sham Kakade 51 127 0 02 Mar 2015
Speeding-up Convolutional Neural Networks Using Fine-tuned CP-Decomposition V. Lebedev Yaroslav Ganin M. Rakhuba Ivan Oseledets Victor Lempitsky 35 879 0 19 Dec 2014
Score Function Features for Discriminative Learning Majid Janzamin Hanie Sedghi Anima Anandkumar 53 43 0 19 Dec 2014
A statistical model for tensor PCA Andrea Montanari E. Richard 22 259 0 04 Nov 2014
Sum-of-squares proofs and the quest toward optimal algorithms Boaz Barak David Steurer 41 137 0 21 Apr 2014
Density Estimation in Infinite Dimensional Exponential Families Bharath K. Sriperumbudur Kenji Fukumizu Arthur Gretton Aapo Hyvarinen Revant Kumar 42 125 0 12 Dec 2013
Smoothed Analysis of Tensor Decompositions Aditya Bhaskara Moses Charikar Ankur Moitra Aravindan Vijayaraghavan 62 154 0 14 Nov 2013
Probabilistic Latent Semantic Analysis Thomas Hofmann 96 2,805 0 23 Jan 2013
What Regularized Auto-Encoders Learn from the Data Generating Distribution Guillaume Alain Yoshua Bengio OOD DRL 33 500 0 18 Nov 2012
Stochastic Dual Coordinate Ascent Methods for Regularized Loss Minimization Shai Shalev-Shwartz Tong Zhang 63 1,031 0 10 Sep 2012
Learning mixtures of spherical Gaussians: moment methods and spectral decompositions Daniel J. Hsu Sham Kakade 60 324 0 25 Jun 2012
Identifiability and Unmixing of Latent Parse Trees Daniel J. Hsu Sham Kakade Percy Liang 70 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 84 300 0 30 Apr 2012
A Method of Moments for Mixture Models and Hidden Markov Models Anima Anandkumar Daniel J. Hsu Sham Kakade 66 341 0 03 Mar 2012