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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

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

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Title
Efficient Matrix Factorization Via Householder Reflections Anirudh Dash Aditya Siripuram 155 0 0 13 May 2024
Crowdsourcing via Annotator Co-occurrence Imputation and Provable Symmetric Nonnegative Matrix FactorizationInternational Conference on Machine Learning (ICML), 2021 Shahana Ibrahim Xiao Fu 120 12 0 14 Jun 2021
Towards Understanding Ensemble, Knowledge Distillation and Self-Distillation in Deep LearningInternational Conference on Learning Representations (ICLR), 2020 Zeyuan Allen-Zhu Yuanzhi Li FedML 517 429 0 17 Dec 2020
Learning Over-Parametrized Two-Layer ReLU Neural Networks beyond NTKAnnual Conference Computational Learning Theory (COLT), 2020 Yuanzhi Li Tengyu Ma Hongyang R. Zhang MLT 191 28 0 09 Jul 2020
Feature Purification: How Adversarial Training Performs Robust Deep Learning Zeyuan Allen-Zhu Yuanzhi Li MLT AAML 310 167 0 20 May 2020
What Can ResNet Learn Efficiently, Going Beyond Kernels?Neural Information Processing Systems (NeurIPS), 2019 Zeyuan Allen-Zhu Yuanzhi Li 596 192 0 24 May 2019
Learning and Generalization in Overparameterized Neural Networks, Going Beyond Two Layers Zeyuan Allen-Zhu Yuanzhi Li Yingyu Liang MLT 715 809 0 12 Nov 2018
A particle-based variational approach to Bayesian Non-negative Matrix Factorization M. A. Masood Finale Doshi-Velez 135 11 0 16 Mar 2018
On the Sublinear Convergence of Randomly Perturbed Alternating Gradient Descent to Second Order Stationary Solutions Songtao Lu Mingyi Hong Zhengdao Wang 130 4 0 28 Feb 2018