Paper

  • The noise level in linear regression with dependent data

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    The noise level in linear regression with dependent data

    Nikolai Matni, George J. Pappas, Stephen Tu, Ingvar Ziemann p74903-74920 from Advances in Neural Information Processing Systems 36
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  • The Orphic Path to Divine Union: “Theon Therapeian” and Ritual Music in Contemporary Greek Mysteries

    Interdisciplinary Society For Quantitative Research in Music and Medicine

    The Orphic Path to Divine Union: “Theon Therapeian” and Ritual Music in Contemporary Greek Mysteries

    Antonios Chrysovergis p19-43 from 7th Biennial Conference of the Interdisciplinary Society for Quantitative Research in Music and Medicine (ISQRMM 2023)
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  • The Phenomenon of Policy Churn

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    The Phenomenon of Policy Churn

    Andre Barreto, Georg Ostrovski, John Quan, Tom Schaul p2537-2549 from Advances in Neural Information Processing Systems 35
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  • The Pick-to-Learn Algorithm: Empowering Compression for Tight Generalization Bounds and Improved Post-training Performance

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    The Pick-to-Learn Algorithm: Empowering Compression for Tight Generalization Bounds and Improved Post-training Performance

    Marco Campi, Simone Garatti, Dario Paccagnan p18165-18185 from Advances in Neural Information Processing Systems 36
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  • The Pitfalls of Regularization in Off-Policy TD Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    The Pitfalls of Regularization in Off-Policy TD Learning

    J. Zico Kolter, Gaurav Manek p35621-35631 from Advances in Neural Information Processing Systems 35
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  • The Poisson Midpoint Method for Langevin Dynamics: Provably Efficient Discretization for Diffusion Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    The Poisson Midpoint Method for Langevin Dynamics: Provably Efficient Discretization for Diffusion Models

    Saravanan Kandasamy, Dheeraj Nagaraj p65972-66024 from Advances in Neural Information Processing Systems 37
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  • The Policy-Gradient Placement and Generative Routing Neural Networks for Chip Design

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    The Policy-Gradient Placement and Generative Routing Neural Networks for Chip Design

    Ruoyu Cheng, Jianye Hao, Yang Li, Xianglong Lyu, Junchi Yan, Junjie Ye p26350-26362 from Advances in Neural Information Processing Systems 35
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  • The Power and Limitation of Pretraining-Finetuning for Linear Regression Under Covariate Shift

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    The Power and Limitation of Pretraining-Finetuning for Linear Regression Under Covariate Shift

    Vladimir Braverman, Quanquan Gu, Sham Kakade, Jingfeng Wu, Difan Zou p33041-33053 from Advances in Neural Information Processing Systems 35
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  • The Power of Extrapolation in Federated Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    The Power of Extrapolation in Federated Learning

    Kirill Acharya, Hanmin Li, Peter Richtárik p124236-124291 from Advances in Neural Information Processing Systems 37
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  • The Power of Hard Attention Transformers on Data Sequences: A formal language theoretic perspective

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    The Power of Hard Attention Transformers on Data Sequences: A formal language theoretic perspective

    Pascal Bergsträßer, Chris Köcher, Anthony Lin, Georg Zetzsche p96750-96774 from Advances in Neural Information Processing Systems 37
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  • The Power of Resets in Online Reinforcement Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    The Power of Resets in Online Reinforcement Learning

    Dylan Foster, Zakaria Mhammedi, Alexander Rakhlin p12334-12407 from Advances in Neural Information Processing Systems 37
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  • The Practical Implementation of Distributed Solar CHP With Thermal and EV Battery Storage for Schools

    American Solar Energy Society (ASES)

    The Practical Implementation of Distributed Solar CHP With Thermal and EV Battery Storage for Schools

    Steven Smiley p329-341 from 53rd American Solar Energy Society National Solar Conference 2024 (SOLAR 2024)
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