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Thu 14:00 Target alignment in truncated kernel ridge regression
Arash Amini · Richard Baumgartner · Dai Feng
Thu 9:00 Instance-Based Uncertainty Estimation for Gradient-Boosted Regression Trees
Jonathan Brophy · Daniel Lowd
Tue 14:00 Semi-supervised Active Linear Regression
Nived Rajaraman · Fnu Devvrit · Pranjal Awasthi
Distributed Learning of Conditional Quantiles in the Reproducing Kernel Hilbert Space
Heng Lian
Affinity Workshop
Gaussian Process parameterized Covariance Kernels for Non-stationary Regression
Vidhi Lalchand · Talay Cheema · Laurence Aitchison · Carl Edward Rasmussen
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
Tue 14:00 FourierFormer: Transformer Meets Generalized Fourier Integral Theorem
Tan Nguyen · Minh Pham · Tam Nguyen · Khai Nguyen · Stanley Osher · Nhat Ho
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
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
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