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Poster
Thu 14:00 Batch size-invariance for policy optimization
Jacob Hilton · Karl Cobbe · John Schulman
Poster
Tue 9:00 SizeShiftReg: a Regularization Method for Improving Size-Generalization in Graph Neural Networks
Davide Buffelli · Pietro Lió · Fabio Vandin
Poster
Wed 9:00 Revisit last-iterate convergence of mSGD under milder requirement on step size
ruinan Jin · Xingkang He · Lang Chen · Difei Cheng · Vijay Gupta
Poster
Tue 9:00 Modeling the Machine Learning Multiverse
Samuel J. Bell · Onno Kampman · Jesse Dodge · Neil Lawrence
Poster
Thu 14:00 The trade-offs of model size in large recommendation models : 100GB to 10MB Criteo-tb DLRM model
Aditya Desai · Anshumali Shrivastava
Poster
Tue 14:00 Holomorphic Equilibrium Propagation Computes Exact Gradients Through Finite Size Oscillations
Axel Laborieux · Friedemann Zenke
Poster
A Variant of Anderson Mixing with Minimal Memory Size
Fuchao Wei · Chenglong Bao · Yang Liu · Guangwen Yang
Poster
Tue 14:00 Mesoscopic modeling of hidden spiking neurons
Shuqi Wang · Valentin Schmutz · Guillaume Bellec · Wulfram Gerstner
Poster
Wed 9:00 GBA: A Tuning-free Approach to Switch between Synchronous and Asynchronous Training for Recommendation Models
Wenbo Su · Yuanxing Zhang · Yufeng Cai · Kaixu Ren · Pengjie Wang · Huimin Yi · Yue Song · Jing Chen · Hongbo Deng · Jian Xu · Lin Qu · Bo Zheng
Poster
Thu 14:00 Size and depth of monotone neural networks: interpolation and approximation
Dan Mikulincer · Daniel Reichman
Poster
Thu 14:00 Batch-Size Independent Regret Bounds for Combinatorial Semi-Bandits with Probabilistically Triggered Arms or Independent Arms
Xutong Liu · Jinhang Zuo · Siwei Wang · Carlee Joe-Wong · John C.S. Lui · Wei Chen
Poster
Tue 14:00 Trajectory of Mini-Batch Momentum: Batch Size Saturation and Convergence in High Dimensions
Kiwon Lee · Andrew Cheng · Elliot Paquette · Courtney Paquette