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Poster
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Tue 8:30
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A Domain-Shrinking based Bayesian Optimization Algorithm with Order-Optimal Regret Performance
Sudeep Salgia · Sattar Vakili · Qing Zhao
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Poster
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Thu 16:30
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Fast Bayesian Inference for Gaussian Cox Processes via Path Integral Formulation
Hideaki Kim
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Poster
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Thu 16:30
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Continuous-time edge modelling using non-parametric point processes
Xuhui Fan · Bin Li · Feng Zhou · Scott SIsson
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Poster
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Thu 0:30
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Scalable Bayesian GPFA with automatic relevance determination and discrete noise models
Kristopher Jensen · Ta-Chu Kao · Jasmine Stone · Guillaume Hennequin
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Poster
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Tue 8:30
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Misspecified Gaussian Process Bandit Optimization
Ilija Bogunovic · Andreas Krause
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Poster
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Wed 0:30
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A self consistent theory of Gaussian Processes captures feature learning effects in finite CNNs
Gadi Naveh · Zohar Ringel
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Poster
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Tue 8:30
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An analysis of Ermakov-Zolotukhin quadrature using kernels
Ayoub Belhadji
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Poster
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Tue 8:30
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Provably Strict Generalisation Benefit for Invariance in Kernel Methods
Bryn Elesedy
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Poster
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Tue 8:30
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Scalable Thompson Sampling using Sparse Gaussian Process Models
Sattar Vakili · Henry Moss · Artem Artemev · Vincent Dutordoir · Victor Picheny
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Poster
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Tue 8:30
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Marginalised Gaussian Processes with Nested Sampling
Fergus Simpson · Vidhi Lalchand · Carl Edward Rasmussen
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Poster
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Tue 8:30
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Exploiting a Zoo of Checkpoints for Unseen Tasks
Jiaji Huang · Qiang Qiu · Kenneth Church
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Poster
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Thu 16:30
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Self-Adaptable Point Processes with Nonparametric Time Decays
Zhimeng Pan · Zheng Wang · Jeff M Phillips · Shandian Zhe
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