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Poster
Thu 17:00 Distributionally Robust Optimization and Generalization in Kernel Methods
Matt Staib · Stefanie Jegelka
Poster
Thu 17:00 Learning metrics for persistence-based summaries and applications for graph classification
Qi Zhao · Yusu Wang
Poster
Tue 10:45 Convergence Guarantees for Adaptive Bayesian Quadrature Methods
Motonobu Kanagawa · Philipp Hennig
Poster
Thu 17:00 Comparing distributions: 1 geometry improves kernel two-sample testing
Meyer Scetbon · Gael Varoquaux
Poster
Tue 17:30 Sampled Softmax with Random Fourier Features
Ankit Singh Rawat · Jiecao Chen · Felix Xinnan Yu · Ananda Theertha Suresh · Sanjiv Kumar
Poster
Wed 17:00 Function-Space Distributions over Kernels
Gregory Benton · Wesley Maddox · Jayson Salkey · Julio Albinati · Andrew Gordon Wilson
Poster
Tue 10:45 Solving Interpretable Kernel Dimensionality Reduction
Chieh Wu · Jared Miller · Yale Chang · Mario Sznaier · Jennifer Dy
Poster
Thu 17:00 On the Inductive Bias of Neural Tangent Kernels
Alberto Bietti · Julien Mairal
Poster
Wed 17:00 Band-Limited Gaussian Processes: The Sinc Kernel
Felipe Tobar
Poster
Tue 10:45 Space and Time Efficient Kernel Density Estimation in High Dimensions
Arturs Backurs · Piotr Indyk · Tal Wagner
Poster
Thu 17:00 On the Downstream Performance of Compressed Word Embeddings
Avner May · Jian Zhang · Tri Dao · Christopher Ré
Poster
Tue 10:45 Sobolev Independence Criterion
Youssef Mroueh · Tom Sercu · Mattia Rigotti · Inkit Padhi · Cicero Nogueira dos Santos