Paper

  • Distribution-Aware Data Expansion with Diffusion Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Distribution-Aware Data Expansion with Diffusion Models

    Haowei Zhu, Ling Yang, Jun-Hai Yong, Hongzhi Yin, Jiawei Jiang, Meng Xiao, Wentao Zhang, Bin Wang p102768-102795 from Advances in Neural Information Processing Systems 37
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  • Distribution-Free Model-Agnostic Regression Calibration via Nonparametric Methods

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Distribution-Free Model-Agnostic Regression Calibration via Nonparametric Methods

    Shang Liu, Zhongze Cai, Xiaocheng Li p53624-53661 from Advances in Neural Information Processing Systems 36
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  • 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, Thomas Zollo, Jake Snell, Toniann Pitassi, Richard Zemel 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

    Jun Wu, Jingrui He, Sheng Wang, Kaiyu Guan, Elizabeth Ainsworth 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

    Jiaqi Xi, Jonathan Niles-Weed 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

    Tyler Kastner, Murat Erdogdu, Amir-Massoud Farahmand 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

    Xin-Qiang Cai, Pushi Zhang, Li Zhao, Jiang Bian, Masashi Sugiyama, Ashley Llorens 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

    Riccardo Zamboni, Alberto Maria Metelli, Marcello Restelli 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

    Igor Melnyk, Youssef Mroueh, Brian Belgodere, Mattia Rigotti, Apoorva Nitsure, Mikhail Yurochkin, Kristjan Greenewald, Jiri Navratil, Jarret Ross 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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