|
Poster
|
Thu 13:30
|
End-to-End Learning for Stochastic Optimization: A Bayesian Perspective
Yves Rychener · Daniel Kuhn · Tobias Sutter
|
|
|
Poster
|
Wed 14:00
|
LipsNet: A Smooth and Robust Neural Network with Adaptive Lipschitz Constant for High Accuracy Optimal Control
Xujie Song · Jingliang Duan · Wenxuan Wang · Shengbo Li · Chen Chen · Bo Cheng · Bo Zhang · Junqing Wei · Xiaoming (Simon) Wang
|
|
|
Poster
|
Wed 17:00
|
Optimal Shrinkage for Distributed Second-Order Optimization
Fangzhao Zhang · Mert Pilanci
|
|
|
Poster
|
Wed 17:00
|
Target-based Surrogates for Stochastic Optimization
Jonathan Lavington · Sharan Vaswani · Reza Babanezhad · Mark Schmidt · Nicolas Le Roux
|
|
|
Poster
|
Thu 16:30
|
Rethinking Warm-Starts with Predictions: Learning Predictions Close to Sets of Optimal Solutions for Faster L-/L♮-Convex Function Minimization
Shinsaku Sakaue · Taihei Oki
|
|
|
Poster
|
Thu 13:30
|
Beyond Lipschitz Smoothness: A Tighter Analysis for Nonconvex Optimization
Zhengmian Hu · Xidong Wu · Heng Huang
|
|
|
Poster
|
Thu 13:30
|
Escaping saddle points in zeroth-order optimization: the power of two-point estimators
Zhaolin Ren · Yujie Tang · Na Li
|
|
|
Poster
|
Thu 13:30
|
Generalized Polyak Step Size for First Order Optimization with Momentum
Xiaoyu Wang · Mikael Johansson · Tong Zhang
|
|
|
Poster
|
Thu 13:30
|
Linear optimal partial transport embedding
Yikun Bai · Ivan Medri · Rocio Diaz Martin · Rana Muhammad Shahroz Khan · Soheil Kolouri
|
|
|
Poster
|
Tue 14:00
|
Accelerated Cyclic Coordinate Dual Averaging with Extrapolation for Composite Convex Optimization
Cheuk Yin Lin · Chaobing Song · Jelena Diakonikolas
|
|
|
Poster
|
Tue 14:00
|
Optimizing DDPM Sampling with Shortcut Fine-Tuning
Ying Fan · Kangwook Lee
|
|
|
Poster
|
Tue 14:00
|
Meta-SAGE: Scale Meta-Learning Scheduled Adaptation with Guided Exploration for Mitigating Scale Shift on Combinatorial Optimization
Jiwoo Son · Minsu Kim · Hyeonah Kim · Jinkyoo Park
|
|
