Paper

  • Distribution-Free Statistical Dispersion Control for Societal Applications

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Distribution-Free Statistical Dispersion Control for Societal Applications

    Zhun Deng, Toniann Pitassi, Jake Snell, Richard Zemel, Thomas Zollo p40342-40366 from Advances in Neural Information Processing Systems 36
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  • Distribution-Informed Neural Networks for Domain Adaptation Regression

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Distribution-Informed Neural Networks for Domain Adaptation Regression

    Elizabeth Ainsworth, Kaiyu Guan, Jingrui He, Sheng Wang, Jun Wu p10040-10054 from Advances in Neural Information Processing Systems 35
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  • Distributional Convergence of the Sliced Wasserstein Process

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Distributional Convergence of the Sliced Wasserstein Process

    Jonathan Niles-Weed, Jiaqi Xi p13961-13973 from Advances in Neural Information Processing Systems 35
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  • Distributional Learning of Variational AutoEncoder: Application to Synthetic Data Generation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Distributional Learning of Variational AutoEncoder: Application to Synthetic Data Generation

    Seunghwan An, Jong-June Jeon p57825-57851 from Advances in Neural Information Processing Systems 36
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  • Distributional Model Equivalence for Risk-Sensitive Reinforcement Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Distributional Model Equivalence for Risk-Sensitive Reinforcement Learning

    Murat Erdogdu, Amir-Massoud Farahmand, Tyler Kastner p56531-56552 from Advances in Neural Information Processing Systems 36
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  • Distributional Pareto-Optimal Multi-Objective Reinforcement Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Distributional Pareto-Optimal Multi-Objective Reinforcement Learning

    Jiang Bian, Xin-Qiang Cai, Ashley Llorens, Masashi Sugiyama, Pushi Zhang, Li Zhao p15593-15613 from Advances in Neural Information Processing Systems 36
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  • Distributional Policy Evaluation: a Maximum Entropy approach to Representation Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Distributional Policy Evaluation: a Maximum Entropy approach to Representation Learning

    Alberto Maria Metelli, Marcello Restelli, Riccardo Zamboni p13127-13137 from Advances in Neural Information Processing Systems 36
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  • Distributional Preference Alignment of LLMs via Optimal Transport

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Distributional Preference Alignment of LLMs via Optimal Transport

    Brian Belgodere, Kristjan Greenewald, Igor Melnyk, Youssef Mroueh, Jiri Navratil, Apoorva Nitsure, Mattia Rigotti, Jarret Ross, Mikhail Yurochkin p104412-104442 from Advances in Neural Information Processing Systems 37
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  • Distributional regression: CRPS-error bounds for model fitting, model selection and convex aggregation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Distributional regression: CRPS-error bounds for model fitting, model selection and convex aggregation

    Clément Dombry, Ahmed Zaoui p32678-32704 from Advances in Neural Information Processing Systems 37
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  • Distributional Reinforcement Learning for Risk-Sensitive Policies

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Distributional Reinforcement Learning for Risk-Sensitive Policies

    Shiau Hong Lim, Ilyas Malik p30977-30989 from Advances in Neural Information Processing Systems 35
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  • Distributional Reinforcement Learning with Regularized Wasserstein Loss

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Distributional Reinforcement Learning with Regularized Wasserstein Loss

    Bei Jiang, Linglong Kong, Wulong Liu, Ke Sun, Yingnan Zhao p63184-63221 from Advances in Neural Information Processing Systems 37
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  • Distributional Reward Estimation for Effective Multi-Agent Deep Reinforcement Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Distributional Reward Estimation for Effective Multi-Agent Deep Reinforcement Learning

    Yi Chang, Hechang Chen, Jifeng Hu, Sili Huang, Haiyin Piao, Lichao Sun, Yanchao Sun p12619-12632 from Advances in Neural Information Processing Systems 35
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