Poster
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Tue 14:00
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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
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Detection and Localization of Changes in Conditional Distributions
Lizhen Nie · Dan Nicolae
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Poster
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Thu 14:00
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Target alignment in truncated kernel ridge regression
Arash Amini · Richard Baumgartner · Dai Feng
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Poster
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Thu 9:00
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Instance-Based Uncertainty Estimation for Gradient-Boosted Regression Trees
Jonathan Brophy · Daniel Lowd
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Poster
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Tue 14:00
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Semi-supervised Active Linear Regression
Nived Rajaraman · Fnu Devvrit · Pranjal Awasthi
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Poster
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Tue 14:00
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On the inability of Gaussian process regression to optimally learn compositional functions
Matteo Giordano · Kolyan Ray · Johannes Schmidt-Hieber
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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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Tue 14:00
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Understanding Square Loss in Training Overparametrized Neural Network Classifiers
Tianyang Hu · Jun WANG · Wenjia Wang · Zhenguo Li
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Poster
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Wed 14:00
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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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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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Wed 14:00
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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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