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80 Results
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Spotlight
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Tue 10:55 |
Variational nearest neighbor Gaussian process Luhuan Wu · Geoff Pleiss · John Cunningham |
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Spotlight
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Tue 11:35 |
Efficient Distributionally Robust Bayesian Optimization with Worst-case Sensitivity Sebastian Tay · Chuan Sheng Foo · Urano Daisuke · Richalynn Leong · Bryan Kian Hsiang Low |
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Spotlight
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Tue 11:00 |
Scaling Gaussian Process Optimization by Evaluating a Few Unique Candidates Multiple Times Daniele Calandriello · Luigi Carratino · Alessandro Lazaric · Michal Valko · Lorenzo Rosasco |
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Spotlight
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Tue 11:20 |
Spectral Representation of Robustness Measures for Optimization Under Input Uncertainty Jixiang Qing · Tom Dhaene · Ivo Couckuyt |
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Spotlight
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Tue 11:40 |
Improved Convergence Rates for Sparse Approximation Methods in Kernel-Based Learning Sattar Vakili · Jonathan Scarlett · Da-shan Shiu · Alberto Bernacchia |
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Spotlight
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Thu 11:35 |
Instance Dependent Regret Analysis of Kernelized Bandits Shubhanshu Shekhar · Tara Javidi |
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Spotlight
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Wed 14:35 |
Robust Multi-Objective Bayesian Optimization Under Input Noise Samuel Daulton · Sait Cakmak · Maximilian Balandat · Michael A Osborne · Enlu Zhou · Eytan Bakshy |
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Poster
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Wed 15:30 |
Synergy and Symmetry in Deep Learning: Interactions between the Data, Model, and Inference Algorithm Lechao Xiao · Jeffrey Pennington |
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Poster
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Tue 15:30 |
Bayesian Optimization under Stochastic Delayed Feedback Arun Verma · Zhongxiang Dai · Bryan Kian Hsiang Low |
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Spotlight
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Thu 12:50 |
Adversarial Attacks on Gaussian Process Bandits Eric Han · Jonathan Scarlett |
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Spotlight
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Thu 8:40 |
Input Dependent Sparse Gaussian Processes Bahram Jafrasteh · Carlos Villacampa-Calvo · Daniel Hernandez-Lobato |
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Oral
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Thu 11:10 |
Bayesian Model Selection, the Marginal Likelihood, and Generalization Sanae Lotfi · Pavel Izmailov · Gregory Benton · Micah Goldblum · Andrew Wilson |