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Workshop
Poster presentation: On the Variational Posterior of Dirichlet Process Deep Latent Gaussian Mixture Models
Invertible Workshop INNF
Poster
Tue 8:00 Parametric Gaussian Process Regressors
Martin Jankowiak · Geoff Pleiss · Jacob Gardner
Poster
Wed 14:00 Healing Products of Gaussian Process Experts
samuel cohen · Rendani Mbuvha · Tshilidzi Marwala · Marc Deisenroth
Poster
Thu 13:00 Modulating Surrogates for Bayesian Optimization
Erik Bodin · Markus Kaiser · Ieva Kazlauskaite · Zhenwen Dai · Neill Campbell · Carl Henrik Ek
Poster
Thu 13:00 Influenza Forecasting Framework based on Gaussian Processes
Christoph Zimmer · Reza Yaesoubi
Poster
Tue 7:00 Bayesian Optimisation over Multiple Continuous and Categorical Inputs
Binxin Ru · Ahsan Alvi · Vu Nguyen · Michael A Osborne · Stephen Roberts
Poster
Wed 8:00 Self-Modulating Nonparametric Event-Tensor Factorization
Zheng Wang · Xinqi Chu · Shandian Zhe
Poster
Wed 8:00 Private Outsourced Bayesian Optimization
Dmitrii Kharkovskii · Zhongxiang Dai · Bryan Kian Hsiang Low
Poster
Thu 6:00 BINOCULARS for efficient, nonmyopic sequential experimental design
Shali Jiang · Henry Chai · Javier Gonzalez · Roman Garnett
Poster
Tue 11:00 Quantum Expectation-Maximization for Gaussian mixture models
Alessandro Luongo · Iordanis Kerenidis · Anupam Prakash
Poster
Wed 11:00 Deep Gaussian Markov Random Fields
Per Sidén · Fredrik Lindsten
Poster
Wed 8:00 Stochastic Gradient and Langevin Processes
Xiang Cheng · Dong Yin · Peter Bartlett · Michael Jordan