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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 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 Detection and Defense of Topological Adversarial Attacks on Graphs
Yingxue Zhang · Florence Regol · Soumyasundar Pal · Sakif Khan · Liheng Ma · Mark Coates
Poster
Tue 14:00 Fast Statistical Leverage Score Approximation 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 14:00 A Dynamical View on Optimization Algorithms of Overparameterized Neural Networks
Zhiqi Bu · Shiyun Xu · Kan Chen
Poster
Tue 14:00 Fast Adaptation with Linearized Neural Networks
Wesley Maddox · Shuai Tang · Pablo Moreno · Andrew Gordon Wilson · Andreas Damianou
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 Accumulations of Projections—A Unified Framework for Random Sketches in Kernel Ridge Regression
Yifan Chen · Yun Yang
Poster
Tue 18:30 Gradient Descent in RKHS with Importance Labeling
Tomoya Murata · Taiji Suzuki
Poster
Tue 18:30 Exponential Convergence Rates of Classification Errors on Learning with SGD and Random Features
Shingo Yashima · Atsushi Nitanda · Taiji Suzuki
Poster
Tue 18:30 Contrastive learning of strong-mixing continuous-time stochastic processes
Bingbin Liu · Pradeep Ravikumar · Andrej Risteski