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Poster
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Tue 9:00
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Differentially Private Learning Needs Hidden State (Or Much Faster Convergence)
Jiayuan Ye · Reza Shokri
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Poster
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Wed 14:00
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Generalization Analysis of Message Passing Neural Networks on Large Random Graphs
Sohir Maskey · Ron Levie · Yunseok Lee · Gitta Kutyniok
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Panel
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Wed 9:45
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Panel 3C-4: Whitening Convergence Rate… & Structural Analysis of…
Felix Draxler · Siddharth Prasad
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Poster
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Wed 14:00
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Local Linear Convergence of Gradient Methods for Subspace Optimization via Strict Complementarity
Ron Fisher · Dan Garber
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Poster
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Wed 14:00
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A Unified Analysis of Federated Learning with Arbitrary Client Participation
Shiqiang Wang · Mingyue Ji
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Workshop
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Mean-field analysis for heavy ball methods: Dropout-stability, connectivity, and global convergence
Diyuan Wu · Vyacheslav Kungurtsev · Marco Mondelli
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Poster
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Wed 9:00
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Global Linear and Local Superlinear Convergence of IRLS for Non-Smooth Robust Regression
Liangzu Peng · Christian Kümmerle · Rene Vidal
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Poster
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A Non-asymptotic Analysis of Non-parametric Temporal-Difference Learning
Eloïse Berthier · Ziad Kobeissi · Francis Bach
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Poster
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Tue 9:00
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Will Bilevel Optimizers Benefit from Loops
Kaiyi Ji · Mingrui Liu · Yingbin Liang · Lei Ying
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Poster
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Wed 14:00
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Deep Architecture Connectivity Matters for Its Convergence: A Fine-Grained Analysis
Wuyang Chen · Wei Huang · Xinyu Gong · Boris Hanin · Zhangyang Wang
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Workshop
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Linear Convergence Analysis of Neural Collapse with Unconstrained Features
Peng Wang · Huikang Liu · Can Yaras · Laura Balzano · Qing Qu
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Poster
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Thu 9:00
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Convergent Representations of Computer Programs in Human and Artificial Neural Networks
Shashank Srikant · Ben Lipkin · Anna Ivanova · Evelina Fedorenko · Una-May O'Reilly
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