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80 Results
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Workshop
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Connections between Kernel Analog Forecasting and Gaussian Process Regression Dmitry Burov |
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Spotlight
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Tue 13:15 |
Bayesian Nonparametric Learning for Point Processes with Spatial Homogeneity: A Spatial Analysis of NBA Shot Locations Fan Yin · Jieying Jiao · Jun Yan · Guanyu Hu |
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Spotlight
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Tue 10:35 |
Probabilistic ODE Solutions in Millions of Dimensions Nicholas Krämer · Nathanael Bosch · Jonathan Schmidt · Philipp Hennig |
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Poster
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Tue 15:30 |
Variational nearest neighbor Gaussian process Luhuan Wu · Geoff Pleiss · John Cunningham |
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Poster
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Tue 15:30 |
Adaptive Gaussian Process Change Point Detection Edoardo Caldarelli · Philippe Wenk · Stefan Bauer · Andreas Krause |
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Spotlight
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Tue 10:50 |
Fenrir: Physics-Enhanced Regression for Initial Value Problems Filip Tronarp · Nathanael Bosch · Philipp Hennig |
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Spotlight
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Wed 8:00 |
Feature Learning and Signal Propagation in Deep Neural Networks Yizhang Lou · Chris Mingard · Soufiane Hayou |
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Spotlight
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Tue 11:45 |
Scalable First-Order Bayesian Optimization via Structured Automatic Differentiation Sebastian Ament · Carla Gomes |
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Spotlight
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Thu 8:45 |
AutoIP: A United Framework to Integrate Physics into Gaussian Processes Da Long · Zheng Wang · Aditi Krishnapriyan · Robert Kirby · Shandian Zhe · Michael Mahoney |
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Poster
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Thu 15:00 |
Input Dependent Sparse Gaussian Processes Bahram Jafrasteh · Carlos Villacampa-Calvo · Daniel Hernandez-Lobato |
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Poster
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Thu 15:00 |
Adversarial Attacks on Gaussian Process Bandits Eric Han · Jonathan Scarlett |
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Poster
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Thu 15:00 |
Bayesian Model Selection, the Marginal Likelihood, and Generalization Sanae Lotfi · Pavel Izmailov · Gregory Benton · Micah Goldblum · Andrew Wilson |