Neural Information Processing Systems Foundation, Inc. (NeurIPS)

  • A Near-Optimal Best-Of-Both-Worlds Algorithm for Online Learning with Feedback Graphs

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Near-Optimal Best-Of-Both-Worlds Algorithm for Online Learning with Feedback Graphs

    Nicolò Cesa-Bianchi, Chloé Rouyer, Yevgeny Seldin, Dirk Van Der Hoeven p35035-35048 from Advances in Neural Information Processing Systems 35
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  • A Near-Optimal Primal-Dual Method for Off-Policy Learning in CMDP

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Near-Optimal Primal-Dual Method for Off-Policy Learning in CMDP

    Fan Chen, Zaiwen Wen, Junyu Zhang p10521-10532 from Advances in Neural Information Processing Systems 35
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  • A Nearly Optimal and Low-Switching Algorithm for Reinforcement Learning with General Function Approximation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Nearly Optimal and Low-Switching Algorithm for Reinforcement Learning with General Function Approximation

    Quanquan Gu, Jiafan He, Heyang Zhao p94684-94735 from Advances in Neural Information Processing Systems 37
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  • A Neural Collapse Perspective on Feature Evolution in Graph Neural Networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Neural Collapse Perspective on Feature Evolution in Graph Neural Networks

    Joan Bruna, Vignesh Kothapalli, Tom Tirer p14134-14191 from Advances in Neural Information Processing Systems 36
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  • A Neural Corpus Indexer for Document Retrieval

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Neural Corpus Indexer for Document Retrieval

    Qi Chen, Chengmin Chi, Weiwei Deng, Yingyan Hou, Zheng Liu, Ziming Miao, Hao Sun, Haonan Wang, Yujing Wang, Shibin Wu, Yuqing Xia, Xing Xie, Mao Yang, Qi Zhang, Guoshuai Zhao p25600-25614 from Advances in Neural Information Processing Systems 35
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  • A Neural Network Approach for Efficiently Answering Most Probable Explanation Queries in Probabilistic Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Neural Network Approach for Efficiently Answering Most Probable Explanation Queries in Probabilistic Models

    Shivvrat Arya, Vibhav Gogate, Tahrima Rahman p33538-33601 from Advances in Neural Information Processing Systems 37
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  • A Neural Pre-Conditioning Active Learning Algorithm to Reduce Label Complexity

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Neural Pre-Conditioning Active Learning Algorithm to Reduce Label Complexity

    Soomin Jeon, Kyu-Hwan Jung, Seo Taek Kong, Hong-Seok Lee, Jaewon Lee, Dongbin Na p32842-32853 from Advances in Neural Information Processing Systems 35
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  • A Neuro-Symbolic Benchmark Suite for Concept Quality and Reasoning Shortcuts

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Neuro-Symbolic Benchmark Suite for Concept Quality and Reasoning Shortcuts

    Samuele Bortolotti, Tommaso Carraro, Emanuele Marconato, Paolo Morettin, Andrea Passerini, Stefano Teso, Emile van Krieken, Antonio Vergari p115861-115905 from Advances in Neural Information Processing Systems 37
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  • A New Dataset for Multilingual Keyphrase Generation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A New Dataset for Multilingual Keyphrase Generation

    Philippe Langlais, Frédéric Piedboeuf p38046-38059 from Advances in Neural Information Processing Systems 35
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  • A New Family of Generalization Bounds Using Samplewise Evaluated CMI

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A New Family of Generalization Bounds Using Samplewise Evaluated CMI

    Giuseppe Durisi, Fredrik Hellström p10108-10121 from Advances in Neural Information Processing Systems 35
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  • A New Multi-Source Light Detection Benchmark and Semi-Supervised Focal Light Detection

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A New Multi-Source Light Detection Benchmark and Semi-Supervised Focal Light Detection

    Seung-Hwan Bae, Jae-Yong Baek, Yong-Sang Yoo p69637-69651 from Advances in Neural Information Processing Systems 37
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  • A New Neural Kernel Regime: The Inductive Bias of Multi-Task Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A New Neural Kernel Regime: The Inductive Bias of Multi-Task Learning

    Julia Nakhleh, Robert Nowak, Joseph Shenouda p140451-140477 from Advances in Neural Information Processing Systems 37
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  • A new perspective on building efficient and expressive 3D equivariant graph neural networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A new perspective on building efficient and expressive 3D equivariant graph neural networks

    Weitao Du, Yuanqi Du, Dieqiao Feng, Carla Gomes, Shuiwang Ji, Zhi-Ming Ma, Guifeng Wang, Limei Wang p66647-66674 from Advances in Neural Information Processing Systems 36
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  • A Non-Asymptotic Analysis of Non-Parametric Temporal-Difference Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Non-Asymptotic Analysis of Non-Parametric Temporal-Difference Learning

    Francis Bach, Eloïse Berthier, Ziad Kobeissi p7599-7613 from Advances in Neural Information Processing Systems 35
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  • A Non-Asymptotic Moreau Envelope Theory for High-Dimensional Generalized Linear Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Non-Asymptotic Moreau Envelope Theory for High-Dimensional Generalized Linear Models

    Frederic Koehler, Nati Srebro, Pragya Sur, Danica J. Sutherland, Lijia Zhou p21286-21299 from Advances in Neural Information Processing Systems 35
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  • A Non-parametric Direct Learning Approach to Heterogeneous Treatment Effect Estimation under Unmeasured Confounding

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Non-parametric Direct Learning Approach to Heterogeneous Treatment Effect Estimation under Unmeasured Confounding

    Xingye Qiao, Xinhai Zhang p122130-122153 from Advances in Neural Information Processing Systems 37
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  • A normative theory of social conflict

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A normative theory of social conflict

    Evgeny Amelchenko, Grigori Enikolopov, Alex Koulakov, Natalia Kudryavtseva, Sergey Shuvaev, Dmitry Smagin p45581-45601 from Advances in Neural Information Processing Systems 36
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  • A Novel Approach for Effective Multi-View Clustering with Information-Theoretic Perspective

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Novel Approach for Effective Multi-View Clustering with Information-Theoretic Perspective

    Chenhang Cui, Lifang He, Jiawei Li, Jingyu Pu, Xiaorong Pu, Yazhou Ren, Yutao Shi, Tianyi Wu p44847-44859 from Advances in Neural Information Processing Systems 36
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  • A Novel Framework for Policy Mirror Descent with General Parameterization and Linear Convergence

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Novel Framework for Policy Mirror Descent with General Parameterization and Linear Convergence

    Carlo Alfano, Patrick Rebeschini, Rui Yuan p30681-30725 from Advances in Neural Information Processing Systems 36
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  • A Novel Unified Architecture for Low-Shot Counting by Detection and Segmentation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Novel Unified Architecture for Low-Shot Counting by Detection and Segmentation

    Matej Kristan, Alan Lukežič, Jer Pelhan, Vitjan Zavrtanik p66260-66282 from Advances in Neural Information Processing Systems 37
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  • A One-Size-Fits-All Approach to Improving Randomness in Paper Assignment

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A One-Size-Fits-All Approach to Improving Randomness in Paper Assignment

    Fei Fang, Steven Jecmen, Zimeng Song, Yixuan Xu p14445-14468 from Advances in Neural Information Processing Systems 36
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  • A PAC-Bayesian Generalization Bound for Equivariant Networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A PAC-Bayesian Generalization Bound for Equivariant Networks

    Arash Behboodi, Gabriele Cesa, Taco Cohen p5654-5668 from Advances in Neural Information Processing Systems 35
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  • A Pairwise Pseudo-likelihood Approach for Matrix Completion with Informative Missingness

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Pairwise Pseudo-likelihood Approach for Matrix Completion with Informative Missingness

    Kwun Chuen Gary Chan, Jiangyuan Li, Jiayi Wang, Raymond K. W. Wong p10735-10769 from Advances in Neural Information Processing Systems 37
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  • A Partially-Supervised Reinforcement Learning Framework for Visual Active Search

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Partially-Supervised Reinforcement Learning Framework for Visual Active Search

    Nathan Jacobs, Anindya Sarkar, Yevgeniy Vorobeychik p12245-12270 from Advances in Neural Information Processing Systems 36
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