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Poster
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Wed 9:00
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Global Linear and Local Superlinear Convergence of IRLS for Non-Smooth Robust Regression
Liangzu Peng · Christian Kümmerle · Rene Vidal
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Poster
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Thu 9:00
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Global Convergence of Direct Policy Search for State-Feedback H∞ Robust Control: A Revisit of Nonsmooth Synthesis with Goldstein Subdifferential
Xingang Guo · Bin Hu
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Poster
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Thu 9:00
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Globally Convergent Policy Search for Output Estimation
Jack Umenberger · Max Simchowitz · Juan Perdomo · Kaiqing Zhang · Russ Tedrake
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Poster
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Tue 9:00
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Global Convergence and Stability of Stochastic Gradient Descent
Vivak Patel · Shushu Zhang · Bowen Tian
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Poster
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Wed 14:00
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The Role of Baselines in Policy Gradient Optimization
Jincheng Mei · Wesley Chung · Valentin Thomas · Bo Dai · Csaba Szepesvari · Dale Schuurmans
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Poster
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Wed 9:00
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Early Stage Convergence and Global Convergence of Training Mildly Parameterized Neural Networks
Mingze Wang · Chao Ma
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Workshop
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On the Global Convergence of the Regularized Generalized Gauss-Newton Algorithm
Vincent Roulet · Maryam Fazel · Siddhartha Srinivasa · Zaid Harchaoui
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Poster
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Tue 9:00
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On the Global Convergence Rates of Decentralized Softmax Gradient Play in Markov Potential Games
Runyu Zhang · Jincheng Mei · Bo Dai · Dale Schuurmans · Na Li
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Poster
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Thu 14:00
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Inducing Equilibria via Incentives: Simultaneous Design-and-Play Ensures Global Convergence
Boyi Liu · Jiayang Li · Zhuoran Yang · Hoi-To Wai · Mingyi Hong · Yu Nie · Zhaoran Wang
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Poster
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Tue 9:00
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Global Convergence of Federated Learning for Mixed Regression
Lili Su · Jiaming Xu · Pengkun Yang
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Poster
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Tue 9:00
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Gradient flow dynamics of shallow ReLU networks for square loss and orthogonal inputs
Etienne Boursier · Loucas PILLAUD-VIVIEN · Nicolas Flammarion
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Workshop
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Mean-field analysis for heavy ball methods: Dropout-stability, connectivity, and global convergence
Diyuan Wu · Vyacheslav Kungurtsev · Marco Mondelli
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