Poster

Wed 6:00

Deep Fourier Kernel for Self-Attentive Point Processes
Shixiang Zhu · Minghe Zhang · Ruyi Ding · Yao Xie

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

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

Thu 7:30

A Spectral Analysis of Dot-product Kernels
Meyer Scetbon · Zaid Harchaoui

Poster

Tue 14:00

Accumulations of Projections—A Unified Framework for Random Sketches in Kernel Ridge Regression
Yifan Chen · Yun Yang

Poster

Wed 6:00

Regularized ERM on random subspaces
Andrea Della Vecchia · Jaouad Mourtada · Ernesto De Vito · Lorenzo Rosasco

Poster

Wed 12:45

Kernel Interpolation for Scalable Online Gaussian Processes
Samuel Stanton · Wesley Maddox · Ian Delbridge · Andrew Gordon Wilson

Poster

Wed 6:00

Kernel Distributionally Robust Optimization: Generalized Duality Theorem and Stochastic Approximation
Jia-Jie Zhu · Wittawat Jitkrittum · Moritz Diehl · Bernhard Schölkopf

Poster

Thu 7:30

Stochastic Gradient Descent Meets Distribution Regression
Nicole Mücke

Poster

Tue 14:00

Fast Statistical Leverage Score Approximation in Kernel Ridge Regression
Yifan Chen · Yun Yang

Poster

Tue 18:30

Gradient Descent in RKHS with Importance Labeling
Tomoya Murata · Taiji Suzuki