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Provable Alternating Gradient Descent for Non-negative Matrix
  Factorization with Strong Correlations

Provable Alternating Gradient Descent for Non-negative Matrix Factorization with Strong Correlations

International Conference on Machine Learning (ICML), 2017
13 June 2017
Yuanzhi Li
Yingyu Liang
ArXiv (abs)PDFHTML

Papers citing "Provable Alternating Gradient Descent for Non-negative Matrix Factorization with Strong Correlations"

9 / 9 papers shown
Efficient Matrix Factorization Via Householder Reflections
Efficient Matrix Factorization Via Householder Reflections
Anirudh Dash
Aditya Siripuram
196
0
0
13 May 2024
Crowdsourcing via Annotator Co-occurrence Imputation and Provable
  Symmetric Nonnegative Matrix Factorization
Crowdsourcing via Annotator Co-occurrence Imputation and Provable Symmetric Nonnegative Matrix FactorizationInternational Conference on Machine Learning (ICML), 2021
Shahana Ibrahim
Xiao Fu
128
12
0
14 Jun 2021
Towards Understanding Ensemble, Knowledge Distillation and
  Self-Distillation in Deep Learning
Towards Understanding Ensemble, Knowledge Distillation and Self-Distillation in Deep LearningInternational Conference on Learning Representations (ICLR), 2020
Zeyuan Allen-Zhu
Yuanzhi Li
FedML
617
435
0
17 Dec 2020
Learning Over-Parametrized Two-Layer ReLU Neural Networks beyond NTK
Learning Over-Parametrized Two-Layer ReLU Neural Networks beyond NTKAnnual Conference Computational Learning Theory (COLT), 2020
Yuanzhi Li
Tengyu Ma
Hongyang R. Zhang
MLT
203
28
0
09 Jul 2020
Feature Purification: How Adversarial Training Performs Robust Deep
  Learning
Feature Purification: How Adversarial Training Performs Robust Deep Learning
Zeyuan Allen-Zhu
Yuanzhi Li
MLTAAML
350
167
0
20 May 2020
What Can ResNet Learn Efficiently, Going Beyond Kernels?
What Can ResNet Learn Efficiently, Going Beyond Kernels?Neural Information Processing Systems (NeurIPS), 2019
Zeyuan Allen-Zhu
Yuanzhi Li
616
192
0
24 May 2019
Learning and Generalization in Overparameterized Neural Networks, Going
  Beyond Two Layers
Learning and Generalization in Overparameterized Neural Networks, Going Beyond Two Layers
Zeyuan Allen-Zhu
Yuanzhi Li
Yingyu Liang
MLT
815
815
0
12 Nov 2018
A particle-based variational approach to Bayesian Non-negative Matrix
  Factorization
A particle-based variational approach to Bayesian Non-negative Matrix Factorization
M. A. Masood
Finale Doshi-Velez
155
11
0
16 Mar 2018
On the Sublinear Convergence of Randomly Perturbed Alternating Gradient
  Descent to Second Order Stationary Solutions
On the Sublinear Convergence of Randomly Perturbed Alternating Gradient Descent to Second Order Stationary Solutions
Songtao Lu
Mingyi Hong
Zhengdao Wang
142
4
0
28 Feb 2018
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