Poster
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Tue 17:30
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Non-asymptotic Analysis of Stochastic Methods for Non-Smooth Non-Convex Regularized Problems
Yi Xu · Rong Jin · Tianbao Yang
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Poster
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Thu 17:00
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Provable Non-linear Inductive Matrix Completion
Kai Zhong · Zhao Song · Prateek Jain · Inderjit Dhillon
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Poster
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Thu 10:45
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Continuous-time Models for Stochastic Optimization Algorithms
Antonio Orvieto · Aurelien Lucchi
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Poster
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Thu 10:45
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A Linearly Convergent Method for Non-Smooth Non-Convex Optimization on the Grassmannian with Applications to Robust Subspace and Dictionary Learning
Zhihui Zhu · Tianyu Ding · Daniel Robinson · Manolis Tsakiris · René Vidal
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Poster
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Wed 17:00
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Poincaré Recurrence, Cycles and Spurious Equilibria in Gradient-Descent-Ascent for Non-Convex Non-Concave Zero-Sum Games
Emmanouil-Vasileios Vlatakis-Gkaragkounis · Lampros Flokas · Georgios Piliouras
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Poster
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Thu 10:45
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On the Convergence Rate of Training Recurrent Neural Networks
Zeyuan Allen-Zhu · Yuanzhi Li · Zhao Song
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Poster
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Thu 10:45
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Competitive Gradient Descent
Florian Schaefer · Anima Anandkumar
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Poster
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Tue 17:30
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SSRGD: Simple Stochastic Recursive Gradient Descent for Escaping Saddle Points
Zhize Li
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Poster
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Tue 10:45
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Ultrametric Fitting by Gradient Descent
Giovanni Chierchia · Benjamin Perret
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Poster
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Tue 17:30
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Iterative Least Trimmed Squares for Mixed Linear Regression
Yanyao Shen · Sujay Sanghavi
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Poster
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Wed 17:00
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Learning to Optimize in Swarms
Yue Cao · Tianlong Chen · Zhangyang Wang · Yang Shen
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Poster
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Tue 17:30
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Robust and Communication-Efficient Collaborative Learning
Amirhossein Reisizadeh · Hossein Taheri · Aryan Mokhtari · Hamed Hassani · Ramtin Pedarsani
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