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Workshop
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On the Inherent Privacy of Two Point Zeroth Order Projected Gradient Descent
Devansh Gupta · Meisam Razaviyayn · Vatsal Sharan
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Workshop
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Consensus Based Optimization Accelerates Gradient Descent
Anagha Satish · Ricardo Baptista · Franca Hoffmann
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Affinity Event
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Confounder-Agnostic Learning: Enhancing Robustness with Projected Gradient Descent
Sneha Chetani · Tatjana Chavdarova
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Poster
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Wed 16:30
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Unraveling the Gradient Descent Dynamics of Transformers
Bingqing Song · Boran Han · Shuai Zhang · Jie Ding · Mingyi Hong
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Poster
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Thu 16:30
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Dual Cone Gradient Descent for Training Physics-Informed Neural Networks
Youngsik Hwang · Dongyoung Lim
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Poster
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Fri 16:30
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Emergence of heavy tails in homogenized stochastic gradient descent
Zhezhe Jiao · Martin Keller-Ressel
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Poster
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Wed 11:00
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Large Stepsize Gradient Descent for Non-Homogeneous Two-Layer Networks: Margin Improvement and Fast Optimization
Yuhang Cai · Jingfeng Wu · Song Mei · Michael Lindsey · Peter Bartlett
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Poster
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Fri 16:30
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GLinSAT: The General Linear Satisfiability Neural Network Layer By Accelerated Gradient Descent
Hongtai Zeng · Chao Yang · Yanzhen Zhou · Cheng Yang · Qinglai Guo
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Workshop
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Local Curvature Descent: Squeezing More Curvature out of Standard and Polyak Gradient Descent
Peter Richtarik · Simone Maria Giancola · Dymitr Lubczyk · Robin Yadav
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Workshop
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Bias in Motion: Theoretical Insights into the Dynamics of Bias in SGD Training
Anchit Jain · Rozhin Nobahari · Aristide Baratin · Stefano Sarao Mannelli
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Poster
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Wed 11:00
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How does Gradient Descent Learn Features --- A Local Analysis for Regularized Two-Layer Neural Networks
Mo Zhou · Rong Ge
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Poster
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Thu 11:00
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Langevin Unlearning: A New Perspective of Noisy Gradient Descent for Machine Unlearning
Eli Chien · Haoyu Wang · Ziang Chen · Pan Li
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