Search All 2022 Events

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Thu 9:00 Experimental Design for Linear Functionals in Reproducing Kernel Hilbert Spaces
Mojmir Mutny · Andreas Krause
Thu 9:00 A Consolidated Cross-Validation Algorithm for Support Vector Machines via Data Reduction
Boxiang Wang · Archer Yang
Thu 9:00 Positively Weighted Kernel Quadrature via Subsampling
Satoshi Hayakawa · Harald Oberhauser · Terry Lyons
Thu 14:00 Generalization Bounds with Minimal Dependency on Hypothesis Class via Distributionally Robust Optimization
Yibo Zeng · Henry Lam
Distributed Learning of Conditional Quantiles in the Reproducing Kernel Hilbert Space
Heng Lian
Wed 9:00 Consistent Interpolating Ensembles via the Manifold-Hilbert Kernel
Yutong Wang · Clay Scott
Wed 14:00 On the Spectral Bias of Convolutional Neural Tangent and Gaussian Process Kernels
Amnon Geifman · Meirav Galun · David Jacobs · Basri Ronen
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
Out-of-Distribution Detection via Conditional Kernel Independence Model
Yu Wang · Jingjing Zou · Jingyang Lin · Qing Ling · Yingwei Pan · Ting Yao · Tao Mei
Log-Polar Space Convolution Layers
Bing Su · Ji-Rong Wen
A Neural Tangent Kernel Perspective on Function-Space Regularization in Neural Networks
Zonghao Chen · Xupeng Shi · Tim G. J. Rudner · Qixuan Feng · Weizhong Zhang · Tong Zhang
Tue 9:00 Tree ensemble kernels for Bayesian optimization with known constraints over mixed-feature spaces
Alexander Thebelt · Calvin Tsay · Robert Lee · Nathan Sudermann-Merx · David Walz · Behrang Shafei · Ruth Misener