Paper

  • Statistical Efficiency of Distributional Temporal Difference Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Statistical Efficiency of Distributional Temporal Difference Learning

    Yang Peng, Liangyu Zhang, Zhihua Zhang p24724-24761 from Advances in Neural Information Processing Systems 37
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  • Statistical Estimation in the Spiked Tensor Model via the Quantum Approximate Optimization Algorithm

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Statistical Estimation in the Spiked Tensor Model via the Quantum Approximate Optimization Algorithm

    Joao Basso, Song Mei, Leo Zhou p28537-28588 from Advances in Neural Information Processing Systems 37
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  • Statistical Guarantees for Variational Autoencoders using PAC-Bayesian Theory

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Statistical Guarantees for Variational Autoencoders using PAC-Bayesian Theory

    Florence Clerc, Pascal Germain, Sokhna Diarra Mbacke p56903-56915 from Advances in Neural Information Processing Systems 36
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  • Statistical Insights into HSIC in High Dimensions

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Statistical Insights into HSIC in High Dimensions

    Tao Zhang, Yaowu Zhang, Tingyou Zhou p19145-19156 from Advances in Neural Information Processing Systems 36
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  • Statistical Knowledge Assessment for Large Language Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Statistical Knowledge Assessment for Large Language Models

    Qingxiu Dong, Lingpeng Kong, Lei Li, Zhifang Sui, Jingjing Xu p29812-29830 from Advances in Neural Information Processing Systems 36
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  • Statistical Learning and Inverse Problems: A Stochastic Gradient Approach

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Statistical Learning and Inverse Problems: A Stochastic Gradient Approach

    Yuri Fonseca, Yuri Saporito p9591-9602 from Advances in Neural Information Processing Systems 35
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  • STATISTICAL LENGTH EFFECT ON THE LONGITUDINAL COMPRESSION STRENGTH OF AUSTRALIAN RADIATA PINE SOLID SAWN TIMBER

    World Conference on Timber Engineering 2025

    STATISTICAL LENGTH EFFECT ON THE LONGITUDINAL COMPRESSION STRENGTH OF AUSTRALIAN RADIATA PINE SOLID SAWN TIMBER

    Abbas Abdulalim Abbara, Raufdeen Rameezdeen, Xing Ma, Yan Zhuge, J. F. O’Hehir, Jon Shanks, Yachong Xu p4489-4494 from 14th World Conference on Timber Engineering 2025 (WCTE 2025)
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  • Statistical Limits of Adaptive Linear Models: Low-Dimensional Estimation and Inference

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Statistical Limits of Adaptive Linear Models: Low-Dimensional Estimation and Inference

    Suvrojit Ghosh, Koulik Khamaru, Licong Lin, Mufang Ying, Cun-Hui Zhang p15965-15990 from Advances in Neural Information Processing Systems 36
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  • Statistical Multicriteria Benchmarking via the GSD-Front

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Statistical Multicriteria Benchmarking via the GSD-Front

    Thomas Augustin, Hannah Blocher, Christoph Jansen, Julian Rodemann, Georg Schollmeyer p98143-98179 from Advances in Neural Information Processing Systems 37
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  • Statistical, Robustness, and Computational Guarantees for Sliced Wasserstein Distances

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Statistical, Robustness, and Computational Guarantees for Sliced Wasserstein Distances

    Ziv Goldfeld, Kengo Kato, Sloan Nietert, Ritwik Sadhu p28179-28193 from Advances in Neural Information Processing Systems 35
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  • Statistical-Computational Trade-offs for Density Estimation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Statistical-Computational Trade-offs for Density Estimation

    Anders Aamand, Alexandr Andoni, Justin Chen, Piotr Indyk, Shyam Narayanan, Sandeep Silwal, Haike Xu p97907-97927 from Advances in Neural Information Processing Systems 37
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  • Statistically Meaningful Approximation: A Case Study on Approximating Turing Machines with Transformers

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Statistically Meaningful Approximation: A Case Study on Approximating Turing Machines with Transformers

    Yining Chen, Tengyu Ma, Colin Wei p12071-12083 from Advances in Neural Information Processing Systems 35
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