Poster
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Wed 15:00
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Revisiting Logistic-softmax Likelihood in Bayesian Meta-Learning for Few-Shot Classification
Tianjun Ke · Haoqun Cao · Zenan Ling · Feng Zhou
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Poster
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Thu 15:00
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Efficient Robust Bayesian Optimization for Arbitrary Uncertain inputs
Lin Yang · Junlong Lyu · Wenlong Lyu · Zhitang Chen
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Poster
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Wed 15:00
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BayesTune: Bayesian Sparse Deep Model Fine-tuning
Minyoung Kim · Timothy Hospedales
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Poster
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Tue 8:45
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Efficient Bayesian Learning Curve Extrapolation using Prior-Data Fitted Networks
Steven Adriaensen · Herilalaina Rakotoarison · Samuel Müller · Frank Hutter
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Poster
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Tue 8:45
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Joint Bayesian Inference of Graphical Structure and Parameters with a Single Generative Flow Network
Tristan Deleu · Mizu Nishikawa-Toomey · Jithendaraa Subramanian · Nikolay Malkin · Laurent Charlin · Yoshua Bengio
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Poster
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Thu 15:00
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Optimal Regret Is Achievable with Bounded Approximate Inference Error: An Enhanced Bayesian Upper Confidence Bound Framework
Ziyi Huang · Henry Lam · Amirhossein Meisami · Haofeng Zhang
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Poster
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Tue 8:45
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Self-Correcting Bayesian Optimization through Bayesian Active Learning
Carl Hvarfner · Erik Hellsten · Frank Hutter · Luigi Nardi
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Workshop
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On the Temperature of Bayesian Graph Neural Networks for Conformal Prediction
Seohyeon Cha · Honggu Kang · Joonhyuk Kang
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Workshop
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Machine Learning Assisted Bayesian Calibration of Model Physics Parameters for Wetland Methane Emissions: A Case Study at a FLUXNET-CH4 Site
Sandeep Chinta · Xiang Gao · Qing Zhu
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Poster
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Tue 8:45
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Advancing Bayesian Optimization via Learning Correlated Latent Space
Seunghun Lee · Jaewon Chu · Sihyeon Kim · Juyeon Ko · Hyunwoo Kim
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Workshop
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Preference-Guided Bayesian Optimization for Control Policy Learning: Application to Personalized Plasma Medicine
Ketong Shao · Diego Romeres · Ankush Chakrabarty · Ali Mesbah
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Workshop
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Causal Inference in Gene Regulatory Networks with GFlowNet: Towards Scalability in Large Systems
Trang Nguyen · Alexander Tong · Kanika Madan · Yoshua Bengio · Dianbo Liu
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