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Program for stream Large-scale optimization
Wednesday
Wednesday, 14:10 - 15:50
WE-04: Large-scale optimization I
Stream: Large-scale optimization
Room: M:M
Chair(s):
Max Nilsson
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A divergence-based condition to ensure quantile improvement in black-box global optimization
Thomas Guilmeau, Emilie Chouzenoux, Víctor Elvira -
Low rank of the matrix LASSO under RIP with consequences for fast large-scale algorithms
Andrew McRae -
Computing Augustin Information via Hybrid Geodesically Convex Optimization
Guan-Ren Wang
Thursday
Friday
Friday, 10:05 - 11:20
FB-04: Large-scale optimization II
Stream: Large-scale optimization
Room: M:M
Chair(s):
Anton Åkerman
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An interior proximal gradient method for nonconvex optimization
Alberto De Marchi, Andreas Themelis -
Krasnoselskii-Mann Iterations: Inertia, Perturbations and Approximation
Daniel Cortild, Juan Peypouquet -
A Fast Optimistic Method for Monotone Variational Inequalities
Michael Sedlmayer, Dang-Khoa Nguyen, Radu Ioan Bot
Friday, 11:25 - 12:40
FC-04: Large-scale optimization III
Stream: Large-scale optimization
Room: M:M
Chair(s):
Anton Åkerman
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A unified Euler--Lagrange system for analyzing continuous-time accelerated gradient methods
Mitsuru Toyoda, Akatsuki Nishioka, Mirai Tanaka -
An optimal lower bound for smooth convex functions
Mihai I. Florea -
Coordinate Descent Algorithm for Nonlinear Matrix Decompositions with the ReLU function
Atharva Awari