Neural Information Processing Systems Foundation, Inc. (NeurIPS)

  • 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-Aware Tensor Decomposition for Compression of Convolutional Neural Networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Distribution-Aware Tensor Decomposition for Compression of Convolutional Neural Networks

    Alper KALLE, Théo Rudkiewicz, Mohamed Ouerfelli, Mohamed Tamaazousti p97834-97868 from Advances in Neural Information Processing Systems 38
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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 Adversarial Attacks and Training in Deep Hedging

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Distributional Adversarial Attacks and Training in Deep Hedging

    Guangyi He, Tobias Sutter, Lukas Gonon p146168-146200 from Advances in Neural Information Processing Systems 38
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  • Distributional Autoencoders Know the Score

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Distributional Autoencoders Know the Score

    Andrej Leban p125361-125396 from Advances in Neural Information Processing Systems 38
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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 LLM-as-a-Judge

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Distributional LLM-as-a-Judge

    Luyu Chen, Zeyu Zhang, Haoran Tan, Quanyu Dai, Yang Hao, Zhenhua Dong, Xu Chen p33908-33937 from Advances in Neural Information Processing Systems 38
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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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  • Distributional Training Data Attribution: What do Influence Functions Sample?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Distributional Training Data Attribution: What do Influence Functions Sample?

    Bruno Mlodozeniec, Isaac Reid, Sam Power, David Krueger, Murat Erdogdu, Richard Turner, Roger Grosse p11110-11144 from Advances in Neural Information Processing Systems 38
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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 Feature Selection

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Distributionally Robust Feature Selection

    Maitreyi Swaroop, Tamar Krishnamurti, Bryan Wilder p70300-70329 from Advances in Neural Information Processing Systems 38
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