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Spotlight
Tue Jul 19 10:30 AM -- 10:35 AM (PDT) @ Room 307
Additive Gaussian Processes Revisited
In PM: Gaussian Processes
Xiaoyu Lu · Alexis Boukouvalas · James Hensman
Spotlight
Tue Jul 19 10:35 AM -- 10:40 AM (PDT) @ Room 307
Probabilistic ODE Solutions in Millions of Dimensions
In PM: Gaussian Processes
Nicholas Krämer · Nathanael Bosch · Jonathan Schmidt · Philipp Hennig
Spotlight
Tue Jul 19 10:40 AM -- 10:45 AM (PDT) @ Room 307
Adaptive Gaussian Process Change Point Detection
In PM: Gaussian Processes
Edoardo Caldarelli · Philippe Wenk · Stefan Bauer · Andreas Krause
Spotlight
Tue Jul 19 10:45 AM -- 10:50 AM (PDT) @ Room 307
Volatility Based Kernels and Moving Average Means for Accurate Forecasting with Gaussian Processes
In PM: Gaussian Processes
Gregory Benton · Wesley Maddox · Andrew Wilson
Spotlight
Tue Jul 19 10:50 AM -- 10:55 AM (PDT) @ Room 307
Fenrir: Physics-Enhanced Regression for Initial Value Problems
In PM: Gaussian Processes
Filip Tronarp · Nathanael Bosch · Philipp Hennig
Spotlight
Tue Jul 19 10:55 AM -- 11:00 AM (PDT) @ Room 307
Variational nearest neighbor Gaussian process
In PM: Gaussian Processes
Luhuan Wu · Geoff Pleiss · John Cunningham
Oral
Tue Jul 19 11:00 AM -- 11:20 AM (PDT) @ Room 307
Preconditioning for Scalable Gaussian Process Hyperparameter Optimization
In PM: Gaussian Processes
Jonathan Wenger · Geoff Pleiss · Philipp Hennig · John Cunningham · Jacob Gardner
Spotlight
Tue Jul 19 11:20 AM -- 11:25 AM (PDT) @ Room 307
Spectral Representation of Robustness Measures for Optimization Under Input Uncertainty
In PM: Gaussian Processes
Jixiang Qing · Tom Dhaene · Ivo Couckuyt
Spotlight
Tue Jul 19 11:25 AM -- 11:30 AM (PDT) @ Room 307
Bayesian Optimization under Stochastic Delayed Feedback
In PM: Gaussian Processes
Arun Verma · Zhongxiang Dai · Bryan Kian Hsiang Low
Spotlight
Tue Jul 19 11:30 AM -- 11:35 AM (PDT) @ Room 307
Bayesian Optimization for Distributionally Robust Chance-constrained Problem
In PM: Gaussian Processes
Yu Inatsu · Shion Takeno · Masayuki Karasuyama · Ichiro Takeuchi
Spotlight
Tue Jul 19 11:35 AM -- 11:40 AM (PDT) @ Room 307
Efficient Distributionally Robust Bayesian Optimization with Worst-case Sensitivity
In PM: Gaussian Processes
Sebastian Tay · Chuan Sheng Foo · Urano Daisuke · Richalynn Leong · Bryan Kian Hsiang Low
Spotlight
Tue Jul 19 11:40 AM -- 11:45 AM (PDT) @ Room 307
Improved Convergence Rates for Sparse Approximation Methods in Kernel-Based Learning
In PM: Gaussian Processes
Sattar Vakili · Jonathan Scarlett · Da-shan Shiu · Alberto Bernacchia
Spotlight
Tue Jul 19 11:45 AM -- 11:50 AM (PDT) @ Room 307
Scalable First-Order Bayesian Optimization via Structured Automatic Differentiation
In PM: Gaussian Processes
Sebastian Ament · Carla Gomes