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Poster
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Wed 11:00
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Conjugate Bayesian Two-step Change Point Detection for Hawkes Process
Zeyue Zhang · Xiaoling LU · Feng Zhou
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Workshop
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Probabilistic Active Few-Shot Learning in Vision-Language Models
Anton Baumann · Marcus Klasson · Rui Li · Arno Solin · Martin Trapp
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Workshop
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Do Language Models Have Bayesian Brains? Distinguishing Stochastic and Deterministic Decision Patterns within Large Language Models
Andrea Cui · Pengfei Yu
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Workshop
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Toward Universal and Interpretable World Models for Open-ended Learning Agents
Lancelot Da Costa
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Workshop
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Probabilistic Active Few-Shot Learning in Vision-Language Models
Anton Baumann · Marcus Klasson · Rui Li · Arno Solin · Martin Trapp
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Workshop
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The Art of Knowing When to Stop: Analysis of Optimal Stopping in People and Machines
Fukun Zhang · Bonan Zhao
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Poster
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Wed 16:30
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Generating Origin-Destination Matrices in Neural Spatial Interaction Models
Ioannis Zachos · Mark Girolami · Theodoros Damoulas
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Poster
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Wed 11:00
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Be Confident in What You Know: Bayesian Parameter Efficient Fine-Tuning of Vision Foundation Models
Deep Pandey · Spandan Pyakurel · Qi Yu
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Workshop
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An Active Learning Performance Model for Parallel Bayesian Calibration of Expensive Simulations
Özge Sürer · Stefan M. Wild
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Workshop
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Sat 9:00
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Bayesian Decision-making and Uncertainty: from probabilistic and spatiotemporal modeling to sequential experiment design
Alexander Terenin · Natalie Maus · Renato Berlinghieri · Zi Wang
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Workshop
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Accelerated Bayesian parameter estimation and model selection for gravitational waves with normalizing flows
Alicja Polanska · Thibeau Wouters · Peter Pang · Kaze W. K. Wong · Jason McEwen
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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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