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Poster
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Tue 9:00
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A permutation-free kernel two-sample test
Shubhanshu Shekhar · Ilmun Kim · Aaditya Ramdas
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Workshop
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Efficient Variational Gaussian Processes Initialization via Kernel-based Least Squares Fitting
Xinran Zhu · David Bindel · Jacob Gardner
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Affinity Workshop
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MKA-Net: Multi-Kernel Attention Conv-Network
Abenezer G Girma · Nana Kankam Gyimah
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Poster
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Thu 14:00
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Benign, Tempered, or Catastrophic: Toward a Refined Taxonomy of Overfitting
Neil Mallinar · James Simon · Amirhesam Abedsoltan · Parthe Pandit · Misha Belkin · Preetum Nakkiran
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Poster
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Tue 9:00
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AgraSSt: Approximate Graph Stein Statistics for Interpretable Assessment of Implicit Graph Generators
Wenkai Xu · Gesine D Reinert
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Poster
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Wed 14:00
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Self-Consistent Dynamical Field Theory of Kernel Evolution in Wide Neural Networks
Blake Bordelon · Cengiz Pehlevan
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Panel
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Tue 17:30
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Panel 2C-3: A permutation-free kernel… & Maximum Class Separation…
Tejaswi Kasarla · Shubhanshu Shekhar
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Poster
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Wed 9:00
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Explaining Preferences with Shapley Values
Robert Hu · Siu Lun Chau · Jaime Ferrando Huertas · Dino Sejdinovic
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Poster
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Tue 14:00
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Real-Valued Backpropagation is Unsuitable for Complex-Valued Neural Networks
Zhi-Hao Tan · Yi Xie · Yuan Jiang · Zhi-Hua Zhou
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Poster
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Tue 9:00
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A Robust Phased Elimination Algorithm for Corruption-Tolerant Gaussian Process Bandits
Ilija Bogunovic · Zihan Li · Andreas Krause · Jonathan Scarlett
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Poster
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Thu 14:00
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Memorization and Optimization in Deep Neural Networks with Minimum Over-parameterization
Simone Bombari · Mohammad Hossein Amani · Marco Mondelli
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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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