Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Neural Information Processing Systems Foundation, Inc. (NeurIPS)

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

Josiah Hanna, Brahma Pavse p42298-42329 from Advances in Neural Information Processing Systems 36

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

State-free Reinforcement Learning

Mingyu Chen, Aldo Pacchiano, Xuezhou Zhang p117708-117736 from Advances in Neural Information Processing Systems 37

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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

Sonia Chernova, Devleena Das, Been Kim p67156-67182 from Advances in Neural Information Processing Systems 36

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StateMask: Explaining Deep Reinforcement Learning through State Mask

Zelei Cheng, Wenbo Guo, Wenhai Sun, Xian Wu, Xinyu Xing, Jiahao Yu 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

Mengdi Huai, Wei Qian, Rex Ying, Chenxu Zhao 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

Mingrui Jing, Xin Wang, Hao-Kai Zhang, Chenghong Zhu 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

Jaeseong Jeong, Alexandre Proutiere, Filippo Vannella p69021-69031 from Advances in Neural Information Processing Systems 36

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Statistical and Geometrical properties of the Kernel Kullback-Leibler divergence

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

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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

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

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

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

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

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

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

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

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

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

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

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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

Alexander Bastounis, Alexander Gorban, Desmond Higham, Oliver Sutton, Ivan Tyukin, Wei Wang, Qinghua Zhou 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

Yuxin Sun, Ganesh Sundaramoorthi, Huizong Yang, 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

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

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

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

State-free Reinforcement Learning

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

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

StateMask: Explaining Deep Reinforcement Learning through State Mask

Static and Sequential Malicious Attacks in the Context of Selective Forgetting

Statistical Analysis of Quantum State Learning Process in Quantum Neural Networks

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

Statistical and Geometrical properties of the Kernel Kullback-Leibler divergence

Statistical Efficiency of Distributional Temporal Difference Learning

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

Statistical Guarantees for Variational Autoencoders using PAC-Bayesian Theory

Statistical Insights into HSIC in High Dimensions

Statistical Knowledge Assessment for Large Language Models

Statistical Learning and Inverse Problems: A Stochastic Gradient Approach

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

Statistical Multicriteria Benchmarking via the GSD-Front

Statistical, Robustness, and Computational Guarantees for Sliced Wasserstein Distances

Statistical-Computational Trade-offs for Density Estimation

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

Statistically Valid Variable Importance Assessment through Conditional Permutations

Stealth edits to large language models

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

Stein $\Pi$-Importance Sampling

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