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Oral
Tue Jun 02:00 PM -- 02:20 PM PDT @ Room 101
Towards a Unified Analysis of Random Fourier Features
Zhu Li · Jean-Francois Ton · Dino Oglic · Dino Sejdinovic
Oral
Tue Jun 02:20 PM -- 02:25 PM PDT @ Room 101
Learning deep kernels for exponential family densities
Li Kevin Wenliang · D.J. Sutherland · Heiko Strathmann · Arthur Gretton
Oral
Tue Jun 02:25 PM -- 02:30 PM PDT @ Room 101
Bayesian Deconditional Kernel Mean Embeddings
Kelvin Hsu · Fabio Ramos
Oral
Tue Jun 02:30 PM -- 02:35 PM PDT @ Room 101
A Kernel Perspective for Regularizing Deep Neural Networks
Alberto Bietti · Gregoire Mialon · Dexiong Chen · Julien Mairal
Oral
Tue Jun 02:35 PM -- 02:40 PM PDT @ Room 101
A Persistent Weisfeiler--Lehman Procedure for Graph Classification
Bastian Rieck · Christian Bock · Karsten Borgwardt
Oral
Tue Jun 02:40 PM -- 03:00 PM PDT @ Room 101
Rehashing Kernel Evaluation in High Dimensions
Paris Siminelakis · Kexin Rong · Peter Bailis · Moses Charikar · Philip Levis
Oral
Tue Jun 03:00 PM -- 03:05 PM PDT @ Room 101
Large-Scale Sparse Kernel Canonical Correlation Analysis
Viivi Uurtio · Sahely Bhadra · Juho Rousu
Oral
Tue Jun 03:05 PM -- 03:10 PM PDT @ Room 101
A Kernel Theory of Modern Data Augmentation
Tri Dao · Albert Gu · Alexander J Ratner · Virginia Smith · Christopher De Sa · Christopher Re
Oral
Tue Jun 03:10 PM -- 03:15 PM PDT @ Room 101
kernelPSI: a Post-Selection Inference Framework for Nonlinear Variable Selection
Lotfi Slim · ClĂ©ment Chatelain · Chloe-Agathe Azencott · Jean-Philippe Vert
Oral
Tue Jun 03:15 PM -- 03:20 PM PDT @ Room 101
Scalable Learning in Reproducing Kernel Krein Spaces
Dino Oglic · Thomas Gaertner