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Workshop
Computationally Efficient Laplace Approximations for Neural Networks
Swarnali Raha · Kshitij Khare · Rohit Patra
Workshop
Active Learning for Affinity Prediction of Antibodies
Alexandra Gessner · Sebastian Ober · Owen Vickery · Dino Oglic · Talip Ucar
Workshop
LLM Embeddings Improve Test-time Adaptation to Tabular Y|X-Shifts
Yibo Zeng · Jiashuo Liu · Henry Lam · Hongseok Namkoong
Poster
Fri 16:30 Divide-and-Conquer Predictive Coding: a structured Bayesian inference algorithm
Eli Sennesh · Hao Wu · Tommaso Salvatori
Workshop
Big Batch Bayesian Active Learning by Considering Predictive Probabilities
Sebastian Ober · Sam Power · Tom Diethe · Henry Moss
Poster
Fri 16:30 ProbTS: Benchmarking Point and Distributional Forecasting across Diverse Prediction Horizons
Jiawen Zhang · Xumeng Wen · Zhenwei Zhang · Shun Zheng · Jia Li · Jiang Bian
Workshop
Failure Prediction from Few Expert Demonstrations
Anjali Parashar · Kunal Garg · Joseph Zhang · Chuchu Fan
Workshop
Sat 15:45 Predictive Inference in Multi-environment Scenarios
John Duchi · Suyash Gupta · Kuanhao Jiang · Pragya Sur