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41 Results
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Poster
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Wed 12:00 |
Scalable Exact Inference in Multi-Output Gaussian Processes Wessel Bruinsma · Eric Perim Martins · William Tebbutt · Scott Hosking · Arno Solin · Richard E Turner |
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Poster
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Thu 6:00 |
Causal Inference using Gaussian Processes with Structured Latent Confounders Sam Witty · Kenta Takatsu · David Jensen · Vikash Mansinghka |
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Poster
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Thu 13:00 |
A quantile-based approach for hyperparameter transfer learning David Salinas · Huibin Shen · Valerio Perrone |
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Poster
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Tue 9:00 |
Disentangling Trainability and Generalization in Deep Neural Networks Lechao Xiao · Jeffrey Pennington · Samuel Schoenholz |
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Poster
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Thu 13:00 |
Stochastic Differential Equations with Variational Wishart Diffusions Martin Jørgensen · Marc Deisenroth · Hugh Salimbeni |
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Poster
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Tue 14:00 |
Infinite attention: NNGP and NTK for deep attention networks Jiri Hron · Yasaman Bahri · Jascha Sohl-Dickstein · Roman Novak |
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Poster
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Thu 13:00 |
Projective Preferential Bayesian Optimization Petrus Mikkola · Milica Todorović · Jari Järvi · Patrick Rinke · Samuel Kaski |
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Poster
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Wed 12:00 |
Implicit Regularization of Random Feature Models Arthur Jacot · Berfin Simsek · Francesco Spadaro · Clement Hongler · Franck Gabriel |
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Poster
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Thu 14:00 |
Efficiently sampling functions from Gaussian process posteriors James Wilson · Viacheslav Borovitskiy · Alexander Terenin · Peter Mostowsky · Marc Deisenroth |
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Poster
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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 |
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Poster
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Thu 14:00 |
Scalable Gaussian Process Separation for Kernels with a Non-Stationary Phase Jan Graßhoff · Alexandra Jankowski · Philipp Rostalski |
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Poster
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Thu 7:00 |
R2-B2: Recursive Reasoning-Based Bayesian Optimization for No-Regret Learning in Games Zhongxiang Dai · Yizhou Chen · Bryan Kian Hsiang Low · Patrick Jaillet · Teck-Hua Ho |