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521 Results
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Affinity Event
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A Novel CNN Filter Inspired by Order Theory Eric Dolores-Cuenca · Susana López-Moreno · Aldo Guzmán-Sáenz · Sangil Kim · Jose L. Mendoza-Cortes |
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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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Wed 16:30 |
Safe Time-Varying Optimization based on Gaussian Processes with Spatio-Temporal Kernel Jialin Li · Marta Zagorowska · Giulia De Pasquale · Alisa Rupenyan · John Lygeros |
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Poster
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Wed 16:30 |
Variation Spaces for Multi-Output Neural Networks: Insights on Multi-Task Learning and Network Compression Joseph Shenouda · Rahul Parhi · Kangwook Lee · Robert Nowak |
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Poster
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Thu 11:00 |
Label Alignment Regularization for Distribution Shift Ehsan Imani · Guojun Zhang · Runjia Li · Jun Luo · Pascal Poupart · Philip Torr · Yangchen Pan |
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Poster
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Fri 11:00 |
Multi-Label Learning with Stronger Consistency Guarantees Anqi Mao · Mehryar Mohri · Yutao Zhong |
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Poster
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Wed 11:00 |
On the Saturation Effects of Spectral Algorithms in Large Dimensions Weihao Lu · haobo Zhang · Yicheng Li · Qian Lin |
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Poster
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Thu 16:30 |
Fixed points of nonnegative neural networks Tomasz J. Piotrowski · Renato L. G. Cavalcante · Mateusz Gabor |
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Poster
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Fri 16:30 |
On -Divergence Principled Domain Adaptation: An Improved Framework Ziqiao Wang · Yongyi Mao |
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Poster
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Fri 11:00 |
Implicit Optimization Bias of Next-token Prediction in Linear Models Christos Thrampoulidis |
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Oral Session
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Wed 10:00 |
Oral Session 1C: Optimization and Learning Theory |
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Poster
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Wed 16:30 |
Online Estimation via Offline Estimation: An Information-Theoretic Framework Dylan J Foster · Yanjun Han · Jian Qian · Alexander Rakhlin |