Paper

  • A Fast and Accurate Estimator for Large Scale Linear Model via Data Averaging

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Fast and Accurate Estimator for Large Scale Linear Model via Data Averaging

    Yanyan Ouyang, Yu Panpan, Rui Wang, Wangli Xu p34917-34927 from Advances in Neural Information Processing Systems 36
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  • A Fast Convoluted Story: Scaling Probabilistic Inference for Integer Arithmetics

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Fast Convoluted Story: Scaling Probabilistic Inference for Integer Arithmetics

    Lennert De Smet, Pedro Zuidberg Dos Martires p102456-102478 from Advances in Neural Information Processing Systems 37
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  • A Fast Heuristic Algorithm for Multi-Energy System Design

    ECOS 2023

    A Fast Heuristic Algorithm for Multi-Energy System Design

    Antoine Mallégol, Arwa Khannoussi, Bruno Lacarrière, Mehrdad Mohammadi, Patrick Meyer p1432-1443 from 36th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 2023)
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  • A fast heuristic to optimize time-space tradeoff for large models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A fast heuristic to optimize time-space tradeoff for large models

    Emilio Castillo, Akifumi Imanishi, Masayuki Takagi, Sixue Wang, Zijian Xu p49679-49702 from Advances in Neural Information Processing Systems 36
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  • A Fast Post-Training Pruning Framework for Transformers

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Fast Post-Training Pruning Framework for Transformers

    Amir Gholami, Joseph Hassoun, Kurt Keutzer, Sehoon Kim, Woosuk Kwon, Michael Mahoney p24101-24116 from Advances in Neural Information Processing Systems 35
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  • A Fast Scale-Invariant Algorithm for Non-Negative Least Squares with Non-Negative Data

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Fast Scale-Invariant Algorithm for Non-Negative Least Squares with Non-Negative Data

    Jelena Diakonikolas, Chenghui Li, Swati Padmanabhan, Chaobing Song p6264-6277 from Advances in Neural Information Processing Systems 35
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  • A FEASIBILITY STUDY FOR ZERO-EMISSION PASSENGER BOATS FOR INLAND WATERWAYS BASED ON HYDROGEN FUEL CELLS

    ECOS 2024

    A FEASIBILITY STUDY FOR ZERO-EMISSION PASSENGER BOATS FOR INLAND WATERWAYS BASED ON HYDROGEN FUEL CELLS

    Massimo Rivarolo, Giaime Niccolò Montagna, Thomas Lamberti, Stefano Barberis p663-674 from 37th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 2024)
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  • A Few Expert Queries Suffices for Sample-Efficient RL with Resets and Linear Value Approximation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Few Expert Queries Suffices for Sample-Efficient RL with Resets and Linear Value Approximation

    Philip Amortila, Dean Foster, Nan Jiang, Dhruv Madeka p29637-29648 from Advances in Neural Information Processing Systems 35
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  • A Finite-Particle Convergence Rate for Stein Variational Gradient Descent

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Finite-Particle Convergence Rate for Stein Variational Gradient Descent

    Lester Mackey, Jiaxin Shi p26831-26844 from Advances in Neural Information Processing Systems 36
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  • A Finite-Sample Analysis of Payoff-Based Independent Learning in Zero-Sum Stochastic Games

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Finite-Sample Analysis of Payoff-Based Independent Learning in Zero-Sum Stochastic Games

    Zaiwei Chen, Eric Mazumdar, Asuman Ozdaglar, Adam Wierman, Kaiqing Zhang p75826-75883 from Advances in Neural Information Processing Systems 36
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  • A Flexible, Equivariant Framework for Subgraph GNNs via Graph Products and Graph Coarsening

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Flexible, Equivariant Framework for Subgraph GNNs via Graph Products and Graph Coarsening

    Guy Bar-Shalom, Yam Eitan, Fabrizio Frasca, Haggai Maron p101168-101222 from Advances in Neural Information Processing Systems 37
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  • A Foundation Model for Zero-shot Logical Query Reasoning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Foundation Model for Zero-shot Logical Query Reasoning

    Mikhail Galkin, Bruno Ribeiro, Jian Tang, Jincheng Zhou, Zhaocheng Zhu p54137-54160 from Advances in Neural Information Processing Systems 37
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