Neural Information Processing Systems Foundation, Inc. (NeurIPS)

  • State-Action Similarity-Based Representations for Off-Policy Evaluation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    State-Action Similarity-Based Representations for Off-Policy Evaluation

    Brahma Pavse, Josiah Hanna p42298-42329 from Advances in Neural Information Processing Systems 36
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  • State-free Reinforcement Learning

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    State-free Reinforcement Learning

    Mingyu Chen, Aldo Pacchiano, Xuezhou Zhang p117708-117736 from Advances in Neural Information Processing Systems 37
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  • State-space models with layer-wise nonlinearity are universal approximators with exponential decaying memory

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    State-space models with layer-wise nonlinearity are universal approximators with exponential decaying memory

    Shida Wang, Beichen Xue p74021-74038 from Advances in Neural Information Processing Systems 36
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  • State2Explanation: Concept-Based Explanations to Benefit Agent Learning and User Understanding

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    State2Explanation: Concept-Based Explanations to Benefit Agent Learning and User Understanding

    Devleena Das, Sonia Chernova, Been Kim p67156-67182 from Advances in Neural Information Processing Systems 36
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  • StateMask: Explaining Deep Reinforcement Learning through State Mask

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    StateMask: Explaining Deep Reinforcement Learning through State Mask

    Zelei Cheng, Xian Wu, Jiahao Yu, Wenhai Sun, Wenbo Guo, Xinyu Xing p62457-62487 from Advances in Neural Information Processing Systems 36
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  • Static and Sequential Malicious Attacks in the Context of Selective Forgetting

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Static and Sequential Malicious Attacks in the Context of Selective Forgetting

    Chenxu Zhao, Wei Qian, Rex Ying, Mengdi Huai p74966-74979 from Advances in Neural Information Processing Systems 36
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  • Statistical Analysis of Quantum State Learning Process in Quantum Neural Networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Statistical Analysis of Quantum State Learning Process in Quantum Neural Networks

    Hao-Kai Zhang, Chenghong Zhu, Mingrui Jing, Xin Wang p33133-33160 from Advances in Neural Information Processing Systems 36
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  • Statistical and Computational Trade-off in Multi-Agent Multi-Armed Bandits

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Statistical and Computational Trade-off in Multi-Agent Multi-Armed Bandits

    Filippo Vannella, Alexandre Proutiere, Jaeseong Jeong p69021-69031 from Advances in Neural Information Processing Systems 36
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  • Statistical and Geometrical properties of the Kernel Kullback-Leibler divergence

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Statistical and Geometrical properties of the Kernel Kullback-Leibler divergence

    Clémentine Chazal, Anna Korba, Francis Bach p32536-32569 from Advances in Neural Information Processing Systems 37
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  • 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

    Leo Zhou, Joao Basso, Song Mei 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

    Sokhna Diarra Mbacke, Florence Clerc, Pascal Germain 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, Jingjing Xu, Lingpeng Kong, Zhifang Sui, Lei Li 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 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

    Licong Lin, Mufang Ying, Suvrojit Ghosh, Koulik Khamaru, 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

    Christoph Jansen, Georg Schollmeyer, Julian Rodemann, Hannah Blocher, Thomas Augustin 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

    Sloan Nietert, Ziv Goldfeld, Ritwik Sadhu, Kengo Kato 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

    Colin Wei, Yining Chen, Tengyu Ma p12071-12083 from Advances in Neural Information Processing Systems 35
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  • Statistically Valid Variable Importance Assessment through Conditional Permutations

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Statistically Valid Variable Importance Assessment through Conditional Permutations

    Ahmad Chamma, Denis Engemann, Bertrand Thirion p67662-67685 from Advances in Neural Information Processing Systems 36
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  • Stealth edits to large language models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Stealth edits to large language models

    Oliver Sutton, Qinghua Zhou, Wei Wang, Desmond Higham, Alexander Gorban, Alexander Bastounis, Ivan Tyukin p51811-51844 from Advances in Neural Information Processing Systems 37
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  • StEik: Stabilizing the Optimization of Neural Signed Distance Functions and Finer Shape Representation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    StEik: Stabilizing the Optimization of Neural Signed Distance Functions and Finer Shape Representation

    Huizong Yang, Yuxin Sun, Ganesh Sundaramoorthi, Anthony Yezzi p13993-14004 from Advances in Neural Information Processing Systems 36
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  • Stein $\Pi$-Importance Sampling

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Stein $\Pi$-Importance Sampling

    Congye Wang, Ye Chen, Heishiro Kanagawa, Chris Oates p71948-71994 from Advances in Neural Information Processing Systems 36
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