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Poster
Thu 16:30 Consistency of Multiple Kernel Clustering
Weixuan Liang · Xinwang Liu · Yong Liu · Chuan Ma · Yunping Zhao · Zhe Liu · En Zhu
Poster
Wed 14:00 Using Perturbation to Improve Goodness-of-Fit Tests based on Kernelized Stein Discrepancy
Xing Liu · Andrew Duncan · Axel Gandy
Poster
Thu 16:30 Kernel QuantTree
Diego Stucchi · Paolo Rizzo · Nicolò Folloni · Giacomo Boracchi
Oral
Thu 18:40 Taming graph kernels with random features
Krzysztof Choromanski
Poster
Tue 17:00 Taming graph kernels with random features
Krzysztof Choromanski
Poster
Wed 17:00 Optimal Convergence Rates for Agnostic Nyström Kernel Learning
Jian Li · Yong Liu · Weiping Wang
Poster
Tue 14:00 Kernel Logistic Regression Approximation of an Understandable ReLU Neural Network
Marie Guyomard · Susana Barbosa · Lionel Fillatre
Poster
Tue 17:00 Estimation Beyond Data Reweighting: Kernel Method of Moments
Heiner Kremer · Yassine Nemmour · Bernhard Schölkopf · Jia-Jie Zhu
Poster
Wed 14:00 A Kernelized Stein Discrepancy for Biological Sequences
Alan Amin · Eli Weinstein · Debora Marks
Poster
Tue 17:00 A theory of representation learning gives a deep generalisation of kernel methods
Adam Yang · Maxime Robeyns · Edward Milsom · Ben Anson · Nandi Schoots · Laurence Aitchison
Poster
Wed 14:00 Nearly-tight Bounds for Deep Kernel Learning
Yi-Fan Zhang · Min-Ling Zhang
Oral
Tue 21:02 Beyond the Universal Law of Robustness: Sharper Laws for Random Features and Neural Tangent Kernels
Simone Bombari · Shayan Kiyani · Marco Mondelli