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