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Poster
Tue 8:30 A Kernel-based Test of Independence for Cluster-correlated Data
Hongjiao Liu · Anna Plantinga · Yunhua Xiang · Michael Wu
Poster
Wed 16:30 Skyformer: Remodel Self-Attention with Gaussian Kernel and Nystr\"om Method
Yifan Chen · Qi Zeng · Heng Ji · Yun Yang
Poster
Fri 8:30 Dynamic Causal Bayesian Optimization
Virginia Aglietti · Neil Dhir · Javier Gonz├ílez · Theodoros Damoulas
Poster
Tue 8:30 Black Box Probabilistic Numerics
Onur Teymur · Christopher Foley · Philip Breen · Toni Karvonen · Chris Oates
Workshop
A General Method for Calibrating Stochastic Radio Channel Models with Kernels
Ayush Bharti · Francois-Xavier Briol
Workshop
Kernel Methods for Multistage Causal Inference: Mediation Analysis and Dynamic Treatment Effects
Rahul Singh · Ritsugen Jo · Arthur Gretton
Poster
Tue 8:30 A variational approximate posterior for the deep Wishart process
Sebastian Ober · Laurence Aitchison
Poster
Thu 16:30 Continuous-time edge modelling using non-parametric point processes
Xuhui Fan · Bin Li · Feng Zhou · Scott SIsson
Poster
Tue 8:30 Spatio-Temporal Variational Gaussian Processes
Oliver Hamelijnck · William Wilkinson · Niki Loppi · Arno Solin · Theodoros Damoulas
Poster
Tue 8:30 Deconditional Downscaling with Gaussian Processes
Siu Lun Chau · Shahine Bouabid · Dino Sejdinovic
Poster
Thu 16:30 Fast Bayesian Inference for Gaussian Cox Processes via Path Integral Formulation
Hideaki Kim
Poster
Tue 8:30 A Domain-Shrinking based Bayesian Optimization Algorithm with Order-Optimal Regret Performance
Sudeep Salgia · Sattar Vakili · Qing Zhao