Paper

  • An Analytical Study of Utility Functions in Multi-Objective Reinforcement Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    An Analytical Study of Utility Functions in Multi-Objective Reinforcement Learning

    Maite Lopez-Sanchez, Juan Rodriguez-Aguilar, Manel Rodriguez-Soto p77726-77747 from Advances in Neural Information Processing Systems 37
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  • An Analytical Theory of Curriculum Learning in Teacher-Student Networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    An Analytical Theory of Curriculum Learning in Teacher-Student Networks

    Stefano Mannelli, Luca Saglietti, Andrew Saxe p21113-21127 from Advances in Neural Information Processing Systems 35
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  • An Approach Characterizing the Performance Degradation of a 140 kW Solar Panel in WV

    American Solar Energy Society (ASES)

    An Approach Characterizing the Performance Degradation of a 140 kW Solar Panel in WV

    R. Subnom p49-60 from 53rd American Solar Energy Society National Solar Conference 2024 (SOLAR 2024)
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  • An Asymptotically Optimal Batched Algorithm for the Dueling Bandit Problem

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    An Asymptotically Optimal Batched Algorithm for the Dueling Bandit Problem

    Arpit Agarwal, Rohan Ghuge, Viswanath Nagarajan p28914-28927 from Advances in Neural Information Processing Systems 35
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  • An Autoencoder-Like Nonnegative Matrix Co-Factorization for Improved Student Cognitive Modeling

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    An Autoencoder-Like Nonnegative Matrix Co-Factorization for Improved Student Cognitive Modeling

    Prashant Doshi, Mingwei Lin, Guoquan Liu, Yinghui Pan, Kim-Leng Poh, Shenbao Yu, Yifeng Zeng p121007-121037 from Advances in Neural Information Processing Systems 37
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  • An effective framework for estimating individualized treatment rules

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    An effective framework for estimating individualized treatment rules

    Guanhua Chen, Jared Huling, Joowon Lee p8411-8476 from Advances in Neural Information Processing Systems 37
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  • An Efficient and Robust Framework for Approximate Nearest Neighbor Search with Attribute Constraint

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    An Efficient and Robust Framework for Approximate Nearest Neighbor Search with Attribute Constraint

    Lingwei Lv, Jiongkang Ni, Mengzhao Wang, Yuxiang Wang, Xiaoliang Xu, Qiang Yue p15738-15751 from Advances in Neural Information Processing Systems 36
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  • An Efficient Dataset Condensation Plugin and Its Application to Continual Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    An Efficient Dataset Condensation Plugin and Its Application to Continual Learning

    Guibing Guo, Tongliang Liu, Li Shen, Zhenyi Wang, Enneng Yang p67625-67642 from Advances in Neural Information Processing Systems 36
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  • An Efficient Doubly-Robust Test for the Kernel Treatment Effect

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    An Efficient Doubly-Robust Test for the Kernel Treatment Effect

    Edward Kennedy, Diego Martinez Taboada, Aaditya Ramdas p59924-59952 from Advances in Neural Information Processing Systems 36
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  • An Efficient End-to-End Training Approach for Zero-Shot Human-AI Coordination

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    An Efficient End-to-End Training Approach for Zero-Shot Human-AI Coordination

    Yali Du, Jiaxian Guo, Xingzhou Lou, Jun Wang, Xue Yan, Haifeng Zhang p2636-2658 from Advances in Neural Information Processing Systems 36
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  • An Efficient Graph Generative Model for Navigating Ultra-Large Combinatorial Synthesis Libraries

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    An Efficient Graph Generative Model for Navigating Ultra-Large Combinatorial Synthesis Libraries

    Brandon Anderson, Chaoyi Chang, Pawel Gniewek, Aryan Pedawi, Henry Van Den Bedem p8731-8745 from Advances in Neural Information Processing Systems 35
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  • An Efficient High-dimensional Gradient Estimator for Stochastic Differential Equations

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    An Efficient High-dimensional Gradient Estimator for Stochastic Differential Equations

    Jose Blanchet, Peter Glynn, Shengbo Wang p88045-88090 from Advances in Neural Information Processing Systems 37
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