Paper

  • Bayesian Active Learning with Fully Bayesian Gaussian Processes

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Bayesian Active Learning with Fully Bayesian Gaussian Processes

    Christoffer Riis, Francisco Antunes, Frederik Hüttel, Carlos Lima Azevedo, Francisco Pereira p12141-12153 from Advances in Neural Information Processing Systems 35
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  • Bayesian Adaptive Calibration and Optimal Design

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Bayesian Adaptive Calibration and Optimal Design

    Rafael Oliveira, Dino Sejdinovic, David Howard, Edwin Bonilla p56526-56551 from Advances in Neural Information Processing Systems 37
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  • Bayesian Clustering of Neural Spiking Activity Using a Mixture of Dynamic Poisson Factor Analyzers

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Bayesian Clustering of Neural Spiking Activity Using a Mixture of Dynamic Poisson Factor Analyzers

    Ganchao Wei, Ian H Stevenson, Xiaojing Wang p19499-19510 from Advances in Neural Information Processing Systems 35
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  • Bayesian Domain Adaptation with Gaussian Mixture Domain-Indexing

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Bayesian Domain Adaptation with Gaussian Mixture Domain-Indexing

    Yanfang Ling, Jiyong Li, Lingbo Li, Shangsong Liang p87226-87254 from Advances in Neural Information Processing Systems 37
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  • Bayesian Extensive-Rank Matrix Factorization with Rotational Invariant Priors

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Bayesian Extensive-Rank Matrix Factorization with Rotational Invariant Priors

    Farzad Pourkamali, Nicolas Macris p24025-24073 from Advances in Neural Information Processing Systems 36
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  • Bayesian Inference Via Sparse Hamiltonian Flows

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Bayesian Inference Via Sparse Hamiltonian Flows

    Naitong Chen, Zuheng Xu, Trevor Campbell p20876-20888 from Advances in Neural Information Processing Systems 35
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  • Bayesian Learning of Optimal Policies in Markov Decision Processes with Countably Infinite State-Space

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Bayesian Learning of Optimal Policies in Markov Decision Processes with Countably Infinite State-Space

    Saghar Adler, Vijay Subramanian p3979-4033 from Advances in Neural Information Processing Systems 36
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  • Bayesian Learning via Q-Exponential Process

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Bayesian Learning via Q-Exponential Process

    Shuyi Li, Michael O'Connor, Shiwei Lan p72867-72887 from Advances in Neural Information Processing Systems 36
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  • Bayesian Metric Learning for Uncertainty Quantification in Image Retrieval

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Bayesian Metric Learning for Uncertainty Quantification in Image Retrieval

    Frederik Warburg, Marco Miani, Silas Brack, Søren Hauberg p69178-69190 from Advances in Neural Information Processing Systems 36
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  • Bayesian nonparametric (non-)renewal processes for analyzing neural spike train variability

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

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

    David Liu, Mate Lengyel p68013-68027 from Advances in Neural Information Processing Systems 36
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  • Bayesian Nonparametrics Meets Data-Driven Distributionally Robust Optimization

    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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  • Bayesian Online Natural Gradient (BONG)

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Bayesian Online Natural Gradient (BONG)

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