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Poster
Tue 14:00 The Minecraft Kernel: Modelling correlated Gaussian Processes in the Fourier domain
Fergus Simpson · Alexis Boukouvalas · Vaclav Cadek · Elvijs Sarkans · Nicolas Durrande
Poster
Tue 14:00 Convergence of Gaussian-smoothed optimal transport distance with sub-gamma distributions and dependent samples
Yixing Zhang · Xiuyuan Cheng · Galen Reeves
Poster
Tue 14:00 Learning GPLVM with arbitrary kernels using the unscented transformation
Daniel Augusto Ramos Macedo Antunes de Souza · Diego Mesquita · João Paulo Gomes · César Lincoln Mattos
Poster
Tue 14:00 Fast Statistical Leverage Score Approximation in Kernel Ridge Regression
Yifan Chen · Yun Yang
Poster
Tue 14:00 Accumulations of Projections—A Unified Framework for Random Sketches in Kernel Ridge Regression
Yifan Chen · Yun Yang
Poster
Tue 14:00 On the Convergence of Gradient Descent in GANs: MMD GAN As a Gradient Flow
Youssef Mroueh · Truyen Nguyen
Poster
Tue 18:30 Gradient Descent in RKHS with Importance Labeling
Tomoya Murata · Taiji Suzuki
Poster
Wed 6:00 Nonlinear Functional Output Regression: A Dictionary Approach
Dimitri Bouche · Marianne Clausel · François Roueff · Florence d'Alché-Buc
Poster
Wed 6:00 Regularized ERM on random subspaces
Andrea Della Vecchia · Jaouad Mourtada · Ernesto De Vito · Lorenzo Rosasco
Poster
Wed 6:00 Optimal Quantisation of Probability Measures Using Maximum Mean Discrepancy
Onur Teymur · Jackson Gorham · Marina Riabiz · Chris Oates
Poster
Wed 6:00 Kernel Distributionally Robust Optimization: Generalized Duality Theorem and Stochastic Approximation
Jia-Jie Zhu · Wittawat Jitkrittum · Moritz Diehl · Bernhard Schölkopf