Neural Information Processing Systems Foundation, Inc. (NeurIPS)

  • 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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  • Distributional Reinforcement Learning with Regularized Wasserstein Loss

    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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  • 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

    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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  • Distributional Successor Features Enable Zero-Shot Policy Optimization

    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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  • Distributionally Adaptive Meta Reinforcement Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Distributionally Adaptive Meta Reinforcement Learning

    Anurag Ajay, Abhishek Gupta, Dibya Ghosh, Sergey Levine, Pulkit Agrawal p25856-25869 from Advances in Neural Information Processing Systems 35
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  • Distributionally Robust Bayesian Optimization with $\varphi$-divergences

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Distributionally Robust Bayesian Optimization with $\varphi$-divergences

    Hisham Husain, Vu Nguyen, Anton Van Den Hengel p20133-20145 from Advances in Neural Information Processing Systems 36
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  • Distributionally Robust Ensemble of Lottery Tickets Towards Calibrated Sparse Network Training

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Distributionally Robust Ensemble of Lottery Tickets Towards Calibrated Sparse Network Training

    Hitesh Sapkota, Dingrong Wang, Zhiqiang Tao, Qi Yu p62657-62681 from Advances in Neural Information Processing Systems 36
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  • Distributionally Robust Linear Quadratic Control

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Distributionally Robust Linear Quadratic Control

    Bahar Taskesen, Dan Iancu, Çagil Koçyigit, Daniel Kuhn p18613-18632 from Advances in Neural Information Processing Systems 36
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  • Distributionally Robust Optimization Via Ball Oracle Acceleration

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Distributionally Robust Optimization Via Ball Oracle Acceleration

    Yair Carmon, Danielle Hausler p35866-35879 from Advances in Neural Information Processing Systems 35
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  • Distributionally Robust Optimization with Data Geometry

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Distributionally Robust Optimization with Data Geometry

    Jiashuo Liu, Jiayun Wu, Bo Li, Peng Cui p33689-33701 from Advances in Neural Information Processing Systems 35
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  • Distributionally Robust Performative Prediction

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Distributionally Robust Performative Prediction

    Songkai Xue, Yuekai Sun p55030-55052 from Advances in Neural Information Processing Systems 37
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  • Distributionally Robust Reinforcement Learning with Interactive Data Collection: Fundamental Hardness and Near-Optimal Algorithms

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Distributionally Robust Reinforcement Learning with Interactive Data Collection: Fundamental Hardness and Near-Optimal Algorithms

    Miao Lu, Han Zhong, Tong Zhang, Jose Blanchet p12528-12580 from Advances in Neural Information Processing Systems 37
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  • Distributionally Robust Skeleton Learning of Discrete Bayesian Networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Distributionally Robust Skeleton Learning of Discrete Bayesian Networks

    Yeshu Li, Brian Ziebart p63343-63371 from Advances in Neural Information Processing Systems 36
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  • Distributionally Robust Weighted K-Nearest Neighbors

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Distributionally Robust Weighted K-Nearest Neighbors

    Shixiang Zhu, Liyan Xie, Minghe Zhang, Rui Gao, Yao Xie p29088-29100 from Advances in Neural Information Processing Systems 35
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  • DistrictNet: Decision-aware learning for geographical districting

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    DistrictNet: Decision-aware learning for geographical districting

    Cheikh Ahmed, Alexandre Forel, Axel Parmentier, Thibaut Vidal p128574-128602 from Advances in Neural Information Processing Systems 37
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  • DiT-3D: Exploring Plain Diffusion Transformers for 3D Shape Generation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    DiT-3D: Exploring Plain Diffusion Transformers for 3D Shape Generation

    Shentong Mo, Enze Xie, Ruihang Chu, Lanqing Hong, Matthias Niessner, Zhenguo Li p67960-67971 from Advances in Neural Information Processing Systems 36
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  • DiTFastAttn: Attention Compression for Diffusion Transformer Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    DiTFastAttn: Attention Compression for Diffusion Transformer Models

    Zhihang Yuan, Hanling Zhang, Pu Lu, Xuefei Ning, Linfeng Zhang, Tianchen Zhao, Shengen Yan, Guohao Dai, Yu Wang p1196-1219 from Advances in Neural Information Processing Systems 37
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