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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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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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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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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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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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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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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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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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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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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Distributional Reinforcement Learning with Regularized Wasserstein Loss

Ke Sun, Yingnan Zhao, Wulong Liu, Bei Jiang, Linglong Kong p63184-63221 from Advances in Neural Information Processing Systems 37

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Distributional Reward Estimation for Effective Multi-Agent Deep Reinforcement Learning

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

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Distributional Successor Features Enable Zero-Shot Policy Optimization

Chuning Zhu, Xinqi Wang, Tyler Han, Simon Du, Abhishek Gupta p124612-124639 from Advances in Neural Information Processing Systems 37

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