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16 Results
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Workshop
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Neural network compression with heavy-tailed SGD Yijun Wan · Abdellatif Zaidi · Umut Simsekli |
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Workshop
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Sat 9:25 |
Mean-Field Assisted Deep Boltzmann Learning with Probabilistic Computers Shuvro Chowdhury · Shaila Niazi · Kerem Camsari |
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Poster
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Wed 15:00 |
Learning Regularized Monotone Graphon Mean-Field Games Fengzhuo Zhang · Vincent Tan · Zhaoran Wang · Zhuoran Yang |
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Poster
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Tue 15:15 |
Convergence of mean-field Langevin dynamics: time-space discretization, stochastic gradient, and variance reduction Taiji Suzuki · Denny Wu · Atsushi Nitanda |
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Poster
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Thu 15:00 |
Feature learning via mean-field Langevin dynamics: classifying sparse parities and beyond Taiji Suzuki · Denny Wu · Kazusato Oko · Atsushi Nitanda |
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Workshop
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Symmetric Mean-field Langevin Dynamics for Distributional Minimax Problems Juno Kim · Kakei Yamamoto · Kazusato Oko · Zhuoran Yang · Taiji Suzuki |
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Workshop
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Generalization Guarantees of Deep ResNets in the Mean-Field Regime Yihang Chen · Fanghui Liu · Yiping Lu · Grigorios Chrysos · Volkan Cevher |
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Workshop
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On Representations of Mean-Field Variational Inference Soumyadip Ghosh · Yingdong Lu · Tomasz Nowicki · Edith Zhang |
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Poster
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Wed 15:00 |
Beyond NTK with Vanilla Gradient Descent: A Mean-Field Analysis of Neural Networks with Polynomial Width, Samples, and Time Arvind Mahankali · Haochen Zhang · Kefan Dong · Margalit Glasgow · Tengyu Ma |
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Poster
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Wed 15:00 |
On Imitation in Mean-field Games Giorgia Ramponi · Pavel Kolev · Olivier Pietquin · Niao He · Mathieu Lauriere · Matthieu Geist |
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Poster
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Wed 15:00 |
On kernel-based statistical learning theory in the mean field limit Christian Fiedler · Michael Herty · Sebastian Trimpe |
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Workshop
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Beyond MD17: The xxMD Dataset as a Chemically Meaningful Benchmark for Neural Force Fields Development Zihan Pengmei · Junyu Liu · Yinan Shu |