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Workshop
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Ensemble Mashups: A Simple Recipe For Better Bayesian Optimization
Anand Ravishankar · Fernando Llorente · Yuanqing Song · Petar Djuric
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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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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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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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Workshop
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Can Language Models Perform Implicit Bayesian Inference Over User Preference States?
Linlu Qiu · Fei Sha · Kelsey Allen · Yoon Kim · Tal Linzen · Sjoerd van Steenkiste
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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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Fri 11:00
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Sourcerer: Sample-based Maximum Entropy Source Distribution Estimation
Julius Vetter · Guy Moss · Cornelius Schröder · Richard Gao · Jakob H Macke
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Poster
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Thu 16:30
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eXponential FAmily Dynamical Systems (XFADS): Large-scale nonlinear Gaussian state-space modeling
Matthew Dowling · Yuan Zhao · Memming Park
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Poster
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Fri 11:00
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Amortized Bayesian Experimental Design for Decision-Making
Daolang Huang · Yujia Guo · Luigi Acerbi · Samuel Kaski
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Workshop
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Higher Uncertainty Leads to Less Exploration in a Combinatorial Discovery Game
Bonan Zhao · Natalia Vélez · Tom Griffiths
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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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Workshop
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Bayesian Optimisation for Protein Sequence Design: Gaussian Processes with Zero-Shot Protein Language Model Prior Mean
Carolin Benjamins · Shikha Surana · Oliver Bent · Marius Lindauer · Paul Duckworth
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