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12/24/2020
Global Convergence of Model Function Based Bregman Proximal Minimization Algorithms
Lipschitz continuity of the gradient mapping of a continuously different...
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10/08/2019
Bregman Proximal Framework for Deep Linear Neural Networks
A typical assumption for the analysis of first order optimization method...
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05/22/2019
Beyond Alternating Updates for Matrix Factorization with Inertial Bregman Proximal Gradient Algorithms
Matrix Factorization is a popular non-convex objective, for which altern...
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04/06/2019
Convex-Concave Backtracking for Inertial Bregman Proximal Gradient Algorithms in Non-Convex Optimization
Backtracking line-search is an old yet powerful strategy for finding bet...
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09/27/2018
On the loss landscape of a class of deep neural networks with no bad local valleys
We identify a class of over-parameterized deep neural networks with stan...
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06/17/2017
