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01/25/2023
A Provable Splitting Approach for Symmetric Nonnegative Matrix Factorization
The symmetric Nonnegative Matrix Factorization (NMF), a special but impo...
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01/07/2022
Local and Global Convergence of General Burer-Monteiro Tensor Optimizations
Tensor optimization is crucial to massive machine learning and signal pr...
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06/02/2021
Learn to Predict Equilibria via Fixed Point Networks
Systems of interacting agents can often be modeled as contextual games, ...
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03/23/2021
Fixed Point Networks: Implicit Depth Models with Jacobian-Free Backprop
A growing trend in deep learning replaces fixed depth models by approxim...
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04/22/2019
Provable Bregman-divergence based Methods for Nonconvex and Non-Lipschitz Problems
The (global) Lipschitz smoothness condition is crucial in establishing t...
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03/16/2019
Spherical Principal Component Analysis
Principal Component Analysis (PCA) is one of the most important methods ...
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11/14/2018
Dropping Symmetry for Fast Symmetric Nonnegative Matrix Factorization
Symmetric nonnegative matrix factorization (NMF), a special but importan...
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11/07/2018
Global Optimality in Distributed Low-rank Matrix Factorization
We study the convergence of a variant of distributed gradient descent (D...
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04/05/2017
