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Poster
Wed 18:30 The Kernel Interaction Trick: Fast Bayesian Discovery of Pairwise Interactions in High Dimensions
Raj Agrawal · Brian Trippe · Jonathan Huggins · Tamara Broderick
Poster
Tue 18:30 A Kernel Perspective for Regularizing Deep Neural Networks
Alberto Bietti · Gregoire Mialon · Dexiong Chen · Julien Mairal
Poster
Tue 18:30 A Kernel Theory of Modern Data Augmentation
Tri Dao · Albert Gu · Alexander J Ratner · Virginia Smith · Christopher De Sa · Christopher Re
Poster
Tue 18:30 Bayesian Deconditional Kernel Mean Embeddings
Kelvin Hsu · Fabio Ramos
Poster
Wed 18:30 Distribution calibration for regression
Hao Song · Tom Diethe · Meelis Kull · Peter Flach
Poster
Thu 18:30 Kernel Normalized Cut: a Theoretical Revisit
Yoshikazu Terada · Michio Yamamoto
Poster
Thu 18:30 Unifying Orthogonal Monte Carlo Methods
Krzysztof Choromanski · Mark Rowland · Wenyu Chen · Adrian Weller
Poster
Wed 18:30 Multi-Frequency Vector Diffusion Maps
Yifeng Fan · Zhizhen Zhao
Poster
Tue 18:30 Particle Flow Bayes' Rule
Xinshi Chen · Hanjun Dai · Le Song
Poster
Tue 18:30 Voronoi Boundary Classification: A High-Dimensional Geometric Approach via Weighted Monte Carlo Integration
Vladislav Polianskii · Florian T. Pokorny
Poster
Tue 18:30 Rehashing Kernel Evaluation in High Dimensions
Paris Siminelakis · Kexin Rong · Peter Bailis · Moses Charikar · Philip Levis
Poster
Tue 18:30 A Persistent Weisfeiler--Lehman Procedure for Graph Classification
Bastian Rieck · Christian Bock · Karsten Borgwardt