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Workshop
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BALLAST: Bayesian Active Learning with Look-ahead Amendment for Sea-drifter Trajectories
Rui-Yang Zhang · Henry Moss · Lachlan Astfalck · Edward Cripps · David Leslie
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Workshop
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Modeling Cognitive Strategies in Teaching
Sevan Harootonian · Yael Niv · Tom Griffiths · Mark Ho
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Workshop
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Sun 11:20
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Robust Learning in Bayesian Parallel Branching Graph Neural Networks: The Narrow Width Limit
Zechen Zhang · Haim Sompolinsky
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Poster
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Wed 11:00
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A Metalearned Neural Circuit for Nonparametric Bayesian Inference
Jake Snell · Gianluca Bencomo · Tom Griffiths
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Poster
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Wed 11:00
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Bayesian Nonparametrics Meets Data-Driven Distributionally Robust Optimization
Nicola Bariletto · Nhat Ho
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Poster
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Fri 16:30
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A Bayesian Approach for Personalized Federated Learning in Heterogeneous Settings
Disha Makhija · Joydeep Ghosh · Nhat Ho
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Poster
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Wed 16:30
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Stopping Bayesian Optimization with Probabilistic Regret Bounds
James Wilson
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Workshop
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Uncertainty Quantification for Martian Surface Spectral Analysis using Bayesian Deep Learning
Mark Hinds · Michael Geyer · Natalie Klein
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Workshop
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Active Learning for Affinity Prediction of Antibodies
Alexandra Gessner · Sebastian Ober · Owen Vickery · Dino Oglic · Talip Ucar
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Poster
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Fri 16:30
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Contextual Active Model Selection
Xuefeng Liu · Fangfang Xia · Rick Stevens · Yuxin Chen
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Workshop
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Sat 14:00
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Invited Talk: Jacob R. Garnder - Bayesian optimization needs better deep learning
Jacob Gardner
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Poster
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Wed 16:30
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Sample Efficient Bayesian Learning of Causal Graphs from Interventions
Zihan Zhou · Muhammad Qasim Elahi · Murat Kocaoglu
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