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6 Results

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Poster
Thu 9:00 Positively Weighted Kernel Quadrature via Subsampling
Satoshi Hayakawa · Harald Oberhauser · Terry Lyons
Poster
Thu 14:00 Efficient Dataset Distillation using Random Feature Approximation
Noel Loo · Ramin Hasani · Alexander Amini · Daniela Rus
Poster
Accelerated Linearized Laplace Approximation for Bayesian Deep Learning
Zhijie Deng · Feng Zhou · Jun Zhu
Poster
Tue 9:00 AgraSSt: Approximate Graph Stein Statistics for Interpretable Assessment of Implicit Graph Generators
Wenkai Xu · Gesine D Reinert
Poster
Tue 14:00 Fast Bayesian Inference with Batch Bayesian Quadrature via Kernel Recombination
Masaki Adachi · Satoshi Hayakawa · Martin Jørgensen · Harald Oberhauser · Michael A Osborne
Poster
Tue 14:00 Learning Dynamical Systems via Koopman Operator Regression in Reproducing Kernel Hilbert Spaces
Vladimir Kostic · Pietro Novelli · Andreas Maurer · Carlo Ciliberto · Lorenzo Rosasco · Massimiliano Pontil