Paper

  • Data-Driven Offline Decision-Making Via Invariant Representation Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Data-Driven Offline Decision-Making Via Invariant Representation Learning

    Aviral Kumar, Sergey Levine, Han Qi, Yi Su p13226-13237 from Advances in Neural Information Processing Systems 35
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  • Data-driven Optimal Filtering for Linear Systems with Unknown Noise Covariances

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Data-driven Optimal Filtering for Linear Systems with Unknown Noise Covariances

    Mehran Mesbahi, Amirhossein Taghvaei, Shahriar Talebi p69546-69585 from Advances in Neural Information Processing Systems 36
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  • Data-Driven Techno-Economic Analysis of Rooftop Photovoltaic Systems in the Spanish Residential Sector at Municipal Level

    ECOS 2023

    Data-Driven Techno-Economic Analysis of Rooftop Photovoltaic Systems in the Spanish Residential Sector at Municipal Level

    Manel Vallès, Raul Saez, Dieter Boer, Adedamola Babajide Shobo p1519-1529 from 36th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 2023)
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  • Data-Driven Tool for Early Building Energy Performance Diagnostic

    ECOS 2023

    Data-Driven Tool for Early Building Energy Performance Diagnostic

    Olaia Eguiarte, Antonio Garrido-Marijuan, Iñigo López, Noelia Vicente-Gómez, Ander Romero-Amorrortu p3307-3314 from 36th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 2023)
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  • Data-Efficient Augmentation for Training Neural Networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Data-Efficient Augmentation for Training Neural Networks

    Tian Yu Liu, Baharan Mirzasoleiman p5124-5136 from Advances in Neural Information Processing Systems 35
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  • Data-Efficient Learning with Neural Programs

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Data-Efficient Learning with Neural Programs

    Rajeev Alur, Seewon Choi, Ziyang Li, Mayur Naik, Alaia Solko-Breslin, Neelay Velingker, Eric Wong p14666-14689 from Advances in Neural Information Processing Systems 37
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  • Data-Efficient Operator Learning via Unsupervised Pretraining and In-Context Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Data-Efficient Operator Learning via Unsupervised Pretraining and In-Context Learning

    Wuyang Chen, Michael Mahoney, Dmitriy Morozov, Pu Ren, Jialin Song, Shashank Subramanian p6213-6245 from Advances in Neural Information Processing Systems 37
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  • Data-Efficient Pipeline for Offline Reinforcement Learning with Limited Data

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Data-Efficient Pipeline for Offline Reinforcement Learning with Limited Data

    Emma Brunskill, Yannis Flet-Berliac, Deon Jordan, Allen Nie, William Steenbergen p14810-14823 from Advances in Neural Information Processing Systems 35
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  • Data-Efficient Structured Pruning Via Submodular Optimization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Data-Efficient Structured Pruning Via Submodular Optimization

    Marwa El Halabi, Simon Lacoste-Julien, Suraj Srinivas p36613-36626 from Advances in Neural Information Processing Systems 35
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  • Data-faithful Feature Attribution: Mitigating Unobservable Confounders via Instrumental Variables

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Data-faithful Feature Attribution: Mitigating Unobservable Confounders via Instrumental Variables

    Jinfei Liu, Qiheng Sun, Haocheng Xia p44935-44964 from Advances in Neural Information Processing Systems 37
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  • Data-Informed Geometric Space Selection

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Data-Informed Geometric Space Selection

    Wenqi Jiang, Shuai Zhang p23224-23236 from Advances in Neural Information Processing Systems 36
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  • Data-IQ: Characterizing Subgroups with Heterogeneous Outcomes in Tabular Data

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Data-IQ: Characterizing Subgroups with Heterogeneous Outcomes in Tabular Data

    Ioana Bica, Jonathan Crabbé, Nabeel Seedat, Mihaela Van Der Schaar p23660-23674 from Advances in Neural Information Processing Systems 35
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