Paper

  • Bayesian Optimisation of Functions on Graphs

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Bayesian Optimisation of Functions on Graphs

    Xingchen Wan, Pierre Osselin, Henry Kenlay, Binxin Ru, Michael A Osborne, Xiaowen Dong p43012-43040 from Advances in Neural Information Processing Systems 36
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  • Bayesian Optimisation with Unknown Hyperparameters: Regret Bounds Logarithmically Closer to Optimal

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

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

    Juliusz Ziomek, Masaki Adachi, Michael Osborne p86346-86374 from Advances in Neural Information Processing Systems 37
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  • Bayesian Optimistic Optimization: Optimistic Exploration for Model-Based Reinforcement Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

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

    Chenyang Wu, Tianci Li, Zongzhang Zhang, Yang Yu p14210-14223 from Advances in Neural Information Processing Systems 35
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  • Bayesian Optimization of Functions over Node Subsets in Graphs

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Bayesian Optimization of Functions over Node Subsets in Graphs

    Huidong Liang, Xingchen Wan, Xiaowen Dong p38199-38234 from Advances in Neural Information Processing Systems 37
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  • Bayesian Optimization Over Discrete and Mixed Spaces Via Probabilistic Reparameterization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Bayesian Optimization Over Discrete and Mixed Spaces Via Probabilistic Reparameterization

    Samuel Daulton, Xingchen Wan, David Eriksson, Maximilian Balandat, Michael A Osborne, Eytan Bakshy p12760-12774 from Advances in Neural Information Processing Systems 35
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  • Bayesian Optimization with Cost-varying Variable Subsets

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Bayesian Optimization with Cost-varying Variable Subsets

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

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Bayesian Persuasion for Algorithmic Recourse

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

    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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  • Bayesian Risk-Averse Q-Learning with Streaming Observations

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Bayesian Risk-Averse Q-Learning with Streaming Observations

    Yuhao Wang, Enlu Zhou p75967-75992 from Advances in Neural Information Processing Systems 36
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  • Bayesian Spline Learning for Equation Discovery of Nonlinear Dynamics with Quantified Uncertainty

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Bayesian Spline Learning for Equation Discovery of Nonlinear Dynamics with Quantified Uncertainty

    Luning Sun, Daniel Huang, Hao Sun, Jian-Xun Wang p6927-6940 from Advances in Neural Information Processing Systems 35
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  • Bayesian Strategic Classification

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Bayesian Strategic Classification

    Lee Cohen, Saeed Sharifi-Malvajerdi, Kevin Stang1, Ali Vakilian, Juba Ziani p111649-111678 from Advances in Neural Information Processing Systems 37
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  • Bayesian target optimisation for high-precision holographic optogenetics

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Bayesian target optimisation for high-precision holographic optogenetics

    Marcus Triplett, Marta Gajowa, Hillel Adesnik, Liam Paninski p10972-10994 from Advances in Neural Information Processing Systems 36
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