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80 Results
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Spotlight
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Thu 13:30 |
NP-Match: When Neural Processes meet Semi-Supervised Learning Jianfeng Wang · Thomas Lukasiewicz · Daniela Massiceti · Xiaolin Hu · Vladimir Pavlovic · Alexandros Neophytou |
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Spotlight
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Wed 14:45 |
Sequential- and Parallel- Constrained Max-value Entropy Search via Information Lower Bound Shion Takeno · Tomoyuki Tamura · Kazuki Shitara · Masayuki Karasuyama |
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Oral
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Wed 10:15 |
Bayesian Continuous-Time Tucker Decomposition Shikai Fang · Akil Narayan · Robert Kirby · Shandian Zhe |
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Spotlight
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Thu 13:30 |
Distributionally-Aware Kernelized Bandit Problems for Risk Aversion Sho Takemori |
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Oral
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Tue 11:00 |
Preconditioning for Scalable Gaussian Process Hyperparameter Optimization Jonathan Wenger · Geoff Pleiss · Philipp Hennig · John Cunningham · Jacob Gardner |
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Poster
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Tue 15:30 |
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 11:30 |
Bayesian Optimization for Distributionally Robust Chance-constrained Problem Yu Inatsu · Shion Takeno · Masayuki Karasuyama · Ichiro Takeuchi |
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Poster
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Tue 15:30 |
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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Poster
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Tue 15:30 |
Spectral Representation of Robustness Measures for Optimization Under Input Uncertainty Jixiang Qing · Tom Dhaene · Ivo Couckuyt |
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Poster
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Tue 15:30 |
Improved Convergence Rates for Sparse Approximation Methods in Kernel-Based Learning Sattar Vakili · Jonathan Scarlett · Da-shan Shiu · Alberto Bernacchia |
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Poster
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Thu 15:00 |
Instance Dependent Regret Analysis of Kernelized Bandits Shubhanshu Shekhar · Tara Javidi |
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Poster
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Wed 15:30 |
Robust Multi-Objective Bayesian Optimization Under Input Noise Samuel Daulton · Sait Cakmak · Maximilian Balandat · Michael A Osborne · Enlu Zhou · Eytan Bakshy |