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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Bayesian Metric Learning for Uncertainty Quantification in Image Retrieval

Silas Brack, Søren Hauberg, Marco Miani, Frederik Warburg p69178-69190 from Advances in Neural Information Processing Systems 36

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Bayesian nonparametric (non-)renewal processes for analyzing neural spike train variability

Mate Lengyel, David Liu p68013-68027 from Advances in Neural Information Processing Systems 36

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Bayesian Nonparametrics Meets Data-Driven Distributionally Robust Optimization

Nicola Bariletto, Nhat Ho p36438-36470 from Advances in Neural Information Processing Systems 37

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Bayesian Online Natural Gradient (BONG)

Peter Chang, Matt Jones, Kevin Murphy p131104-131153 from Advances in Neural Information Processing Systems 37

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Bayesian Optimisation of Functions on Graphs

Xiaowen Dong, Henry Kenlay, Michael A Osborne, Pierre Osselin, Binxin Ru, Xingchen Wan p43012-43040 from Advances in Neural Information Processing Systems 36

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Bayesian Optimisation with Unknown Hyperparameters: Regret Bounds Logarithmically Closer to Optimal

Masaki Adachi, Michael Osborne, Juliusz Ziomek p86346-86374 from Advances in Neural Information Processing Systems 37

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Bayesian Optimistic Optimization: Optimistic Exploration for Model-Based Reinforcement Learning

Tianci Li, Chenyang Wu, Yang Yu, Zongzhang Zhang p14210-14223 from Advances in Neural Information Processing Systems 35

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Bayesian Optimization of Functions over Node Subsets in Graphs

Xiaowen Dong, Huidong Liang, Xingchen Wan p38199-38234 from Advances in Neural Information Processing Systems 37

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Bayesian Optimization Over Discrete and Mixed Spaces Via Probabilistic Reparameterization

Eytan Bakshy, Maximilian Balandat, Samuel Daulton, David Eriksson, Michael A Osborne, Xingchen Wan p12760-12774 from Advances in Neural Information Processing Systems 35

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Bayesian Optimization with Cost-varying Variable Subsets

Chuan Sheng Foo, Richalynn Leong, Bryan Kian Hsiang Low, Sebastian Tay, Daisuke Urano p3008-3031 from Advances in Neural Information Processing Systems 36

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Bayesian Persuasion for Algorithmic Recourse

Valerie Chen, Keegan Harris, Hoda Heidari, Joon Kim, Ameet Talwalkar, Steven Wu p11131-11144 from Advances in Neural Information Processing Systems 35

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Bayesian Risk Markov Decision Processes

Yifan Lin, Yuxuan Ren, Enlu Zhou p17430-17442 from Advances in Neural Information Processing Systems 35

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