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Poster
Tue 9:00 A permutation-free kernel two-sample test
Shubhanshu Shekhar · Ilmun Kim · Aaditya Ramdas
Workshop
Efficient Variational Gaussian Processes Initialization via Kernel-based Least Squares Fitting
Xinran Zhu · David Bindel · Jacob Gardner
Affinity Workshop
MKA-Net: Multi-Kernel Attention Conv-Network
Abenezer G Girma · Nana Kankam Gyimah
Poster
Thu 9:00 Chefs' Random Tables: Non-Trigonometric Random Features
Valerii Likhosherstov · Krzysztof M Choromanski · Kumar Avinava Dubey · Frederick Liu · Tamas Sarlos · Adrian Weller
Poster
Tue 14:00 A Consistent and Differentiable Lp Canonical Calibration Error Estimator
Teodora Popordanoska · Raphael Sayer · Matthew Blaschko
Poster
Thu 14:00 Detection and Localization of Changes in Conditional Distributions
Lizhen Nie · Dan Nicolae
Poster
Tue 14:00 Disentangling the Predictive Variance of Deep Ensembles through the Neural Tangent Kernel
Seijin Kobayashi · Pau Vilimelis Aceituno · Johannes von Oswald
Poster
Thu 9:00 Efficient Aggregated Kernel Tests using Incomplete $U$-statistics
Antonin Schrab · Ilmun Kim · Benjamin Guedj · Arthur Gretton
Poster
Wed 14:00 Self-Consistent Dynamical Field Theory of Kernel Evolution in Wide Neural Networks
Blake Bordelon · Cengiz Pehlevan
Poster
Thu 14:00 Batch Bayesian Optimization on Permutations using the Acquisition Weighted Kernel
Changyong Oh · Roberto Bondesan · Efstratios Gavves · Max Welling
Poster
Thu 14:00 Memorization and Optimization in Deep Neural Networks with Minimum Over-parameterization
Simone Bombari · Mohammad Hossein Amani · Marco Mondelli
Poster
Thu 14:00 Transition to Linearity of General Neural Networks with Directed Acyclic Graph Architecture
Libin Zhu · Chaoyue Liu · Misha Belkin