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Workshop
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Spectral structure learning for clinical time series
Ivan Lerner · Francis Bach · Anita Burgun
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Workshop
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A scalable Bayesian continual learning framework for online and sequential decision making
Hanwen Xing · Christopher Yau
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Workshop
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Active Learning for Affinity Prediction of Antibodies
Alexandra Gessner · Sebastian Ober · Owen Vickery · Dino Oglic · Talip Ucar
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Workshop
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Computation-Aware Robust Gaussian Processes
Marshal Sinaga · Julien Martinelli · Samuel Kaski
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Workshop
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Efficient Local Unlearning for Gaussian Processes with Out-of-Distribution Data
Juliusz Ziomek · Ilija Bogunovic
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Workshop
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Gaussian Process Conjoint Analysis for Adaptive Marginal Effect Estimation
Yehu Chen · Jacob Montgomery · Roman Garnett
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Workshop
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Latent Spatial Dirichlet Allocation
Junsouk Choi · Veerabhadran Baladandayuthapani · Jian Kang
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Workshop
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Sat 12:40
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Contributed Talk: Joachim Schaeffer - Lithium-Ion Battery System Health Monitoring and Resistance-Based Fault Analysis from Field Data Using Recursive Spatiotemporal Gaussian Processes
Joachim Schaeffer
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Poster
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Thu 11:00
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Gaussian Process Bandits for Top-k Recommendations
Mohit Yadav · Cameron Musco · Daniel Sheldon
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Poster
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Wed 16:30
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Cost-aware Bayesian Optimization via the Pandora's Box Gittins Index
Qian Xie · Raul Astudillo · Peter Frazier · Ziv Scully · Alexander Terenin
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Poster
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Fri 11:00
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Active Learning for Derivative-Based Global Sensitivity Analysis with Gaussian Processes
Syrine Belakaria · Ben Letham · Jana Doppa · Barbara Engelhardt · Stefano Ermon · Eytan Bakshy
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Affinity Event
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Scalable Permutation Invariant Multi-Output Gaussian Processes for Cancer Drug Response
Leiv Ronneberg · Vidhi Lalchand
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