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Test Of Time
Mon 4:00 Test of Time: Gaussian Process Optimization in the Bandit Settings: No Regret and Experimental Design
Niranjan Srinivas · Andreas Krause · Sham Kakade · Matthias Seeger
Tue 7:00 Bayesian Optimisation over Multiple Continuous and Categorical Inputs
Binxin Ru · Ahsan Alvi · Vu Nguyen · Michael A Osborne · Stephen Roberts
Tue 8:00 Parametric Gaussian Process Regressors
Martin Jankowiak · Geoff Pleiss · Jacob Gardner
Tue 9:00 Disentangling Trainability and Generalization in Deep Neural Networks
Lechao Xiao · Jeffrey Pennington · Samuel Schoenholz
Tue 10:00 Differentiable Likelihoods for Fast Inversion of 'Likelihood-Free' Dynamical Systems
Hans Kersting · Nicholas Krämer · Martin Schiegg · Christian Daniel · Michael Schober · Philipp Hennig
Tue 11:00 Near-linear time Gaussian process optimization with adaptive batching and resparsification
Daniele Calandriello · Luigi Carratino · Alessandro Lazaric · Michal Valko · Lorenzo Rosasco
Tue 11:00 Quantum Expectation-Maximization for Gaussian mixture models
Alessandro Luongo · Iordanis Kerenidis · Anupam Prakash
Tue 14:00 Infinite attention: NNGP and NTK for deep attention networks
Jiri Hron · Yasaman Bahri · Jascha Sohl-Dickstein · Roman Novak
Tue 14:00 Knowing The What But Not The Where in Bayesian Optimization
Vu Nguyen · Michael A Osborne
Tue 18:00 Multi-fidelity Bayesian Optimization with Max-value Entropy Search and its Parallelization
Shion Takeno · Hitoshi Fukuoka · Yuhki Tsukada · Toshiyuki Koyama · Motoki Shiga · Ichiro Takeuchi · Masayuki Karasuyama
Wed 5:00 Efficient Non-conjugate Gaussian Process Factor Models for Spike Count Data using Polynomial Approximations
Stephen Keeley · David Zoltowski · Yiyi Yu · Spencer Smith · Jonathan Pillow
Wed 8:00 Private Outsourced Bayesian Optimization
Dmitrii Kharkovskii · Zhongxiang Dai · Bryan Kian Hsiang Low