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10 Results
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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 |
Target alignment in truncated kernel ridge regression Arash Amini · Richard Baumgartner · Dai Feng |
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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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Poster
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Distributed Learning of Conditional Quantiles in the Reproducing Kernel Hilbert Space Heng Lian |
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Affinity Workshop
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Gaussian Process parameterized Covariance Kernels for Non-stationary Regression Vidhi Lalchand · Talay Cheema · Laurence Aitchison · Carl Edward Rasmussen |
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Poster
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Wed 14:00 |
Extrapolation and Spectral Bias of Neural Nets with Hadamard Product: a Polynomial Net Study Yongtao Wu · Zhenyu Zhu · Fanghui Liu · Grigorios Chrysos · Volkan Cevher |
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Poster
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Tue 14:00 |
FourierFormer: Transformer Meets Generalized Fourier Integral Theorem Tan Nguyen · Minh Pham · Tam Nguyen · Khai Nguyen · Stanley Osher · Nhat Ho |
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Poster
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Thu 14:00 |
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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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 |
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Poster
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Tue 14:00 |
Learning Dynamical Systems via Koopman Operator Regression in Reproducing Kernel Hilbert Spaces Vladimir Kostic · Pietro Novelli · Andreas Maurer · Carlo Ciliberto · Lorenzo Rosasco · Massimiliano Pontil |