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Poster
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Fri 11:00
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Fixed Confidence Best Arm Identification in the Bayesian Setting
Kyoungseok Jang · Junpei Komiyama · Kazutoshi Yamazaki
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Poster
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Fri 16:30
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Divide-and-Conquer Predictive Coding: a structured Bayesian inference algorithm
Eli Sennesh · Hao Wu · Tommaso Salvatori
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Poster
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Thu 11:00
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This Too Shall Pass: Removing Stale Observations in Dynamic Bayesian Optimization
Anthony Bardou · Patrick Thiran · Giovanni Ranieri
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Poster
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Thu 11:00
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Principled Bayesian Optimization in Collaboration with Human Experts
Wenjie Xu · Masaki Adachi · Colin Jones · Michael A Osborne
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Poster
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Fri 11:00
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Practical Bayesian Algorithm Execution via Posterior Sampling
Chu Xin Cheng · Raul Astudillo · Thomas A Desautels · Yisong Yue
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Poster
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Wed 11:00
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Enhancing Diversity in Bayesian Deep Learning via Hyperspherical Energy Minimization of CKA
David Smerkous · Qinxun Bai · Fuxin Li
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Poster
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Thu 16:30
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Stochastic Kernel Regularisation Improves Generalisation in Deep Kernel Machines
Edward Milsom · Ben Anson · Laurence Aitchison
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Poster
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Thu 16:30
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FSP-Laplace: Function-Space Priors for the Laplace Approximation in Bayesian Deep Learning
Tristan Cinquin · Marvin Pförtner · Vincent Fortuin · Philipp Hennig · Robert Bamler
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Poster
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Wed 16:30
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Active Sequential Posterior Estimation for Sample-Efficient Simulation-Based Inference
Sam Griesemer · Defu Cao · Zijun Cui · Carolina Osorio · Yan Liu
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Poster
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Wed 16:30
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Modeling Latent Neural Dynamics with Gaussian Process Switching Linear Dynamical Systems
Amber Hu · David Zoltowski · Aditya Nair · David Anderson · Lea Duncker · Scott Linderman
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Poster
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Wed 11:00
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Bayesian Adaptive Calibration and Optimal Design
Rafael Oliveira · Dino Sejdinovic · David Howard · Edwin Bonilla
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Affinity Event
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Sparse Partial Bayesian Networks: Efficient Uncertainty Quantification in Medical Image Analysis
Zeinab Abboud · Herve Lombaert · Samuel Kadoury
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