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464 Results
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Poster
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Tue 9:00 |
Fast Instrument Learning with Faster Rates Ziyu Wang · Yuhao Zhou · Jun Zhu |
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Poster
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Wed 9:00 |
Explaining Preferences with Shapley Values Robert Hu · Siu Lun Chau · Jaime Ferrando Huertas · Dino Sejdinovic |
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Poster
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Thu 9:00 |
Instance-Based Uncertainty Estimation for Gradient-Boosted Regression Trees Jonathan Brophy · Daniel Lowd |
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Poster
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Thu 14:00 |
Optimal Rates for Regularized Conditional Mean Embedding Learning Zhu Li · Dimitri Meunier · Mattes Mollenhauer · Arthur Gretton |
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Poster
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Tue 14:00 |
TCT: Convexifying Federated Learning using Bootstrapped Neural Tangent Kernels Yaodong Yu · Alexander Wei · Sai Praneeth Karimireddy · Yi Ma · Michael Jordan |
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Poster
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Thu 9:00 |
Bidirectional Learning for Offline Infinite-width Model-based Optimization Can Chen · Yingxueff Zhang · Jie Fu · Xue (Steve) Liu · Mark Coates |
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Poster
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Tue 14:00 |
Semi-supervised Active Linear Regression Nived Rajaraman · Fnu Devvrit · Pranjal Awasthi |
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Workshop
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Minimax Optimal Kernel Operator Learning via Multilevel Training Jikai Jin · Yiping Lu · Jose Blanchet · Lexing Ying |
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Workshop
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Physics-Guided Discovery of Highly Nonlinear Parametric Partial Differential Equations Yingtao Luo · Qiang Liu · Yuntian Chen · Wenbo Hu · TIAN TIAN · Jun Zhu |
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Poster
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"Lossless" Compression of Deep Neural Networks: A High-dimensional Neural Tangent Kernel Approach lingyu gu · Yongqi Du · yuan zhang · Di Xie · Shiliang Pu · Robert Qiu · Zhenyu Liao |
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Poster
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Tue 14:00 |
Fast Bayesian Inference with Batch Bayesian Quadrature via Kernel Recombination Masaki Adachi · Satoshi Hayakawa · Martin Jørgensen · Harald Oberhauser · Michael A Osborne |
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Poster
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Wed 14:00 |
Precise Learning Curves and Higher-Order Scalings for Dot-product Kernel Regression Lechao Xiao · Hong Hu · Theodor Misiakiewicz · Yue Lu · Jeffrey Pennington |