Poster
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Thu 14:00
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Batch size-invariance for policy optimization
Jacob Hilton · Karl Cobbe · John Schulman
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Poster
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Tue 9:00
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SizeShiftReg: a Regularization Method for Improving Size-Generalization in Graph Neural Networks
Davide Buffelli · Pietro Lió · Fabio Vandin
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Poster
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Wed 9:00
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Revisit last-iterate convergence of mSGD under milder requirement on step size
ruinan Jin · Xingkang He · Lang Chen · Difei Cheng · Vijay Gupta
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Poster
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Tue 9:00
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Modeling the Machine Learning Multiverse
Samuel J. Bell · Onno Kampman · Jesse Dodge · Neil Lawrence
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Poster
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Thu 14:00
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The trade-offs of model size in large recommendation models : 100GB to 10MB Criteo-tb DLRM model
Aditya Desai · Anshumali Shrivastava
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Poster
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Tue 14:00
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Holomorphic Equilibrium Propagation Computes Exact Gradients Through Finite Size Oscillations
Axel Laborieux · Friedemann Zenke
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Poster
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A Variant of Anderson Mixing with Minimal Memory Size
Fuchao Wei · Chenglong Bao · Yang Liu · Guangwen Yang
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Poster
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Tue 14:00
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Mesoscopic modeling of hidden spiking neurons
Shuqi Wang · Valentin Schmutz · Guillaume Bellec · Wulfram Gerstner
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Poster
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Wed 9:00
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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
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Poster
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Thu 14:00
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Size and depth of monotone neural networks: interpolation and approximation
Dan Mikulincer · Daniel Reichman
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Poster
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Thu 14:00
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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
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Poster
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Tue 14:00
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Trajectory of Mini-Batch Momentum: Batch Size Saturation and Convergence in High Dimensions
Kiwon Lee · Andrew Cheng · Elliot Paquette · Courtney Paquette
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