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Poster
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Thu 14:00
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Generalization Bounds with Minimal Dependency on Hypothesis Class via Distributionally Robust Optimization
Yibo Zeng · Henry Lam
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Workshop
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What You See is What You Get: Principled Deep Learning via Distributional Generalization
Bogdan Kulynych · Yao-Yuan Yang · Yaodong Yu · Jaroslaw Blasiok · Preetum Nakkiran
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Workshop
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Convergence of score-based generative modeling for general data distributions
Holden Lee · Jianfeng Lu · Yixin Tan
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Poster
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Wed 9:00
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Finding Differences Between Transformers and ConvNets Using Counterfactual Simulation Testing
Nataniel Ruiz · Sarah Bargal · Cihang Xie · Kate Saenko · Stan Sclaroff
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Poster
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Tue 9:00
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Path Independent Equilibrium Models Can Better Exploit Test-Time Computation
Cem Anil · Ashwini Pokle · Kaiqu Liang · Johannes Treutlein · Yuhuai Wu · Shaojie Bai · J. Zico Kolter · Roger Grosse
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Poster
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Tue 14:00
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What You See is What You Get: Principled Deep Learning via Distributional Generalization
Bogdan Kulynych · Yao-Yuan Yang · Yaodong Yu · Jarosław Błasiok · Preetum Nakkiran
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Poster
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Mix and Reason: Reasoning over Semantic Topology with Data Mixing for Domain Generalization
Chaoqi Chen · Luyao Tang · Feng Liu · Gangming Zhao · Yue Huang · Yizhou Yu
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Poster
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Tue 9:00
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Rate-Distortion Theoretic Bounds on Generalization Error for Distributed Learning
Milad Sefidgaran · Romain Chor · Abdellatif Zaidi
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Workshop
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Class-wise Domain Generalization: A Novel Framework for Evaluating Distributional Shift
Sarath Sivaprasad · Akshay Goindani · Mario Fritz · Vineet Gandhi
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Poster
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Tue 9:00
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Learning to Reason with Neural Networks: Generalization, Unseen Data and Boolean Measures
Emmanuel Abbe · Samy Bengio · Elisabetta Cornacchia · Jon Kleinberg · Aryo Lotfi · Maithra Raghu · Chiyuan Zhang
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