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Affinity Workshop
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Mon 13:30
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Bayesian Data Augmentation for Partially Observed Stochastic Compartmental Models
Shuying Wang
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Poster
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Tue 15:15
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Undirected Probabilistic Model for Tensor Decomposition
Zerui Tao · Toshihisa Tanaka · Qibin Zhao
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Poster
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Tue 15:15
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Pretraining task diversity and the emergence of non-Bayesian in-context learning for regression
Allan Raventós · Mansheej Paul · Feng Chen · Surya Ganguli
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Poster
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Thu 8:45
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AdaVAE: Bayesian Structural Adaptation for Variational Autoencoders
Paribesh Regmi · Rui Li
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Workshop
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Sample-efficient Antibody Design through Protein Language Model for Risk-aware Batch Bayesian Optimization
Yanzheng Wang · TIANYU SHI · Jie Fu
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Workshop
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Sample-efficient Antibody Design through Protein Language Model for Risk-aware Batch Bayesian Optimization
Yanzheng Wang · Tianyu Shi
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Poster
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Tue 15:15
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Towards Accelerated Model Training via Bayesian Data Selection
Zhijie Deng · Peng Cui · Jun Zhu
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Workshop
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Bayesian Multilevel Regression and Poststratification for Dynamic Diversity-Aware Modeling
Nicole Osayande · Danilo Bzdok
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Workshop
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Actively learning a Bayesian matrix fusion model with deep side information
Yangyang Yu · Jordan Suchow
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Poster
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Tue 15:15
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Sparse Deep Learning for Time Series Data: Theory and Applications
Mingxuan Zhang · Yan Sun · Faming Liang
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Workshop
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A General Method for Testing Bayesian Models using Neural Data
Gabor Lengyel · Sabyasachi Shivkumar · Ralf Haefner
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Poster
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Wed 8:45
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Streaming Factor Trajectory Learning for Temporal Tensor Decomposition
Shikai Fang · Xin Yu · Shibo Li · Zheng Wang · Mike Kirby · Shandian Zhe
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