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Poster
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When Is Inductive Inference Possible?
Zhou Lu
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Poster
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Wed 11:00
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Transductive Active Learning: Theory and Applications
Jonas Hübotter · Bhavya · Lenart Treven · Yarden As · Andreas Krause
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Affinity Event
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Helping Predict Agent Behaviors by Operationalizing Variation Theory of Learning
Tiffany Horter · Serena Booth · Vinitha Gadiraju
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Poster
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Thu 11:00
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Cryptographic Hardness of Score Estimation
Min Jae Song
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Poster
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Fri 16:30
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On f-Divergence Principled Domain Adaptation: An Improved Framework
Ziqiao Wang · Yongyi Mao
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Poster
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Fri 16:30
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High-dimensional (Group) Adversarial Training in Linear Regression
Yiling Xie · Xiaoming Huo
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Poster
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Wed 16:30
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The Impact of Geometric Complexity on Neural Collapse in Transfer Learning
Michael Munn · Benoit Dherin · Javier Gonzalvo
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Session
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Wed 10:00
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Overflow for Oral Session 1C: Optimization and Learning Theory
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Poster
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Fri 11:00
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Wide Two-Layer Networks can Learn from Adversarial Perturbations
Soichiro Kumano · Hiroshi Kera · Toshihiko Yamasaki
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Poster
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Fri 11:00
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Polyhedral Complex Derivation from Piecewise Trilinear Networks
Jin-Hwa Kim
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Oral
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Wed 10:20
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Optimal Parallelization of Boosting
Arthur da Cunha · Mikael Møller Høgsgaard · Kasper Green Larsen
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Poster
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Wed 11:00
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Information-theoretic Generalization Analysis for Expected Calibration Error
Futoshi Futami · Masahiro Fujisawa
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