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5 Results
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Poster
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Wed 14:00 |
Discrete-Convex-Analysis-Based Framework for Warm-Starting Algorithms with Predictions Shinsaku Sakaue · Taihei Oki |
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Poster
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Wed 14:00 |
Local Linear Convergence of Gradient Methods for Subspace Optimization via Strict Complementarity Ron Fisher · Dan Garber |
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Poster
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Tue 9:00 |
Learning Energy Networks with Generalized Fenchel-Young Losses Mathieu Blondel · Felipe Llinares-Lopez · Robert Dadashi · Leonard Hussenot · Matthieu Geist |
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Poster
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Wed 9:00 |
Constrained Langevin Algorithms with L-mixing External Random Variables Yuping Zheng · Andrew Lamperski |
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Poster
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Thu 9:00 |
Toward Equation of Motion for Deep Neural Networks: Continuous-time Gradient Descent and Discretization Error Analysis Taiki Miyagawa |