Neural Information Processing Systems Foundation, Inc. (NeurIPS)

  • A Pre-training Framework for Relational Data with Information-theoretic Principles

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Pre-training Framework for Relational Data with Information-theoretic Principles

    Quang Truong, Zhikai Chen, Mingxuan Ju, Tong Zhao, Neil Shah, Jiliang Tang p9030-9061 from Advances in Neural Information Processing Systems 38
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  • A Primal-Dual-Assisted Penalty Approach to Bilevel Optimization with Coupled Constraints

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Primal-Dual-Assisted Penalty Approach to Bilevel Optimization with Coupled Constraints

    Liuyuan Jiang, Quan Xiao, Victor Tenorio, Fernando Real-Rojas, Antonio Marques, Tianyi Chen p95026-95066 from Advances in Neural Information Processing Systems 37
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  • A Principle of Targeted Intervention for Multi-Agent Reinforcement Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Principle of Targeted Intervention for Multi-Agent Reinforcement Learning

    Anjie Liu, Jianhong Wang, Samuel Kaski, Jun Wang, Mengyue Yang p151709-151754 from Advances in Neural Information Processing Systems 38
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  • A Principled Approach to Randomized Selection under Uncertainty: Applications to Peer Review and Grant Funding

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Principled Approach to Randomized Selection under Uncertainty: Applications to Peer Review and Grant Funding

    Alexander Goldberg, Giulia Fanti, Nihar Shah p61539-61572 from Advances in Neural Information Processing Systems 38
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  • A Principled Path to Fitted Distributional Evaluation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Principled Path to Fitted Distributional Evaluation

    Sungee Hong, Jiayi Wang, Zhengling Qi, Raymond K. W. Wong p88064-88147 from Advances in Neural Information Processing Systems 38
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  • A Privacy-Friendly Approach to Data Valuation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Privacy-Friendly Approach to Data Valuation

    Jiachen (Tianhao) Wang, Yuqing Zhu, Yu-Xiang Wang, Ruoxi Jia, Prateek Mittal p60429-60467 from Advances in Neural Information Processing Systems 36
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  • A Private Approximation of the 2nd-Moment Matrix of Any Subsamplable Input

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Private Approximation of the 2nd-Moment Matrix of Any Subsamplable Input

    Bar Mahpud, Or Sheffet p174249-174277 from Advances in Neural Information Processing Systems 38
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  • A Probabilistic Graph Coupling View of Dimension Reduction

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Probabilistic Graph Coupling View of Dimension Reduction

    Hugues Van Assel, Thibault Espinasse, Julien Chiquet, Franck Picard p10696-10708 from Advances in Neural Information Processing Systems 35
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  • A probability contrastive learning framework for 3D molecular representation learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A probability contrastive learning framework for 3D molecular representation learning

    Jiayu Qin, Jian Chen, Rohan Sharma, Jingchen Sun, Changyou Chen p58058-58076 from Advances in Neural Information Processing Systems 37
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  • A Projection-Free Algorithm for Constrained Stochastic Multi-Level Composition Optimization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Projection-Free Algorithm for Constrained Stochastic Multi-Level Composition Optimization

    Tesi Xiao, Krishnakumar Balasubramanian, Saeed Ghadimi p19984-19996 from Advances in Neural Information Processing Systems 35
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  • A Prompt-Based Knowledge Graph Foundation Model for Universal In-Context Reasoning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Prompt-Based Knowledge Graph Foundation Model for Universal In-Context Reasoning

    Yuanning Cui, Zequn Sun, Wei Hu p7095-7124 from Advances in Neural Information Processing Systems 37
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  • A Provable Approach for End-to-End Safe Reinforcement Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Provable Approach for End-to-End Safe Reinforcement Learning

    Akifumi Wachi, Kohei Miyaguchi, Takumi Tanabe, Rei Sato, Youhei Akimoto p86001-86035 from Advances in Neural Information Processing Systems 38
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  • A provable control of sensitivity of neural networks through a direct parameterization of the overall bi-Lipschitzness

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A provable control of sensitivity of neural networks through a direct parameterization of the overall bi-Lipschitzness

    Yuri Kinoshita, Taro Toyoizumi p85241-85309 from Advances in Neural Information Processing Systems 37
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  • A Pseudo-Semantic Loss for Autoregressive Models with Logical Constraints

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Pseudo-Semantic Loss for Autoregressive Models with Logical Constraints

    Kareem Ahmed, Kai-Wei Chang, Guy Van Den Broeck p18325-18340 from Advances in Neural Information Processing Systems 36
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  • A Quadrature Rule Combining Control Variates and Adaptive Importance Sampling

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Quadrature Rule Combining Control Variates and Adaptive Importance Sampling

    Rémi Leluc, François Portier, Johan Segers, Aigerim Zhuman p11842-11853 from Advances in Neural Information Processing Systems 35
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  • A Quantitative Geometric Approach to Neural-Network Smoothness

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Quantitative Geometric Approach to Neural-Network Smoothness

    Zi Wang, Gautam Prakriya, Somesh Jha p34201-34215 from Advances in Neural Information Processing Systems 35
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  • A Randomized Approach to Tight Privacy Accounting

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Randomized Approach to Tight Privacy Accounting

    Jiachen (Tianhao) Wang, Saeed Mahloujifar, Tong Wu, Ruoxi Jia, Prateek Mittal p33856-33893 from Advances in Neural Information Processing Systems 36
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  • A Recipe for Charge Density Prediction

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Recipe for Charge Density Prediction

    Xiang Fu, Andrew Rosen, Kyle Bystrom, Rui Wang, Albert Musaelian, Boris Kozinsky, Tess Smidt, Tommi Jaakkola p9727-9752 from Advances in Neural Information Processing Systems 37
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  • A Recurrent Neural Circuit Mechanism of Temporal-scaling Equivariant Representation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Recurrent Neural Circuit Mechanism of Temporal-scaling Equivariant Representation

    Junfeng Zuo, Xiao Liu, Ying Nian Wu, Si Wu, Wenhao Zhang p62682-62695 from Advances in Neural Information Processing Systems 36
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  • A Reduction to Binary Approach for Debiasing Multiclass Datasets

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Reduction to Binary Approach for Debiasing Multiclass Datasets

    Ibrahim Alabdulmohsin, Jessica Schrouff, Sanmi Koyejo p2480-2493 from Advances in Neural Information Processing Systems 35
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  • A Reduction-based Framework for Sequential Decision Making with Delayed Feedback

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Reduction-based Framework for Sequential Decision Making with Delayed Feedback

    Yunchang Yang, Han Zhong, Tianhao Wu, Bin Liu, Liwei Wang, Simon Du p46362-46389 from Advances in Neural Information Processing Systems 36
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  • A Regret-Variance Trade-Off in Online Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Regret-Variance Trade-Off in Online Learning

    Dirk Van Der Hoeven, Nikita Zhivotovskiy, Nicolò Cesa-Bianchi p35188-35200 from Advances in Neural Information Processing Systems 35
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  • A Regularized Conditional GAN for Posterior Sampling in Image Recovery Problems

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Regularized Conditional GAN for Posterior Sampling in Image Recovery Problems

    Matthew Bendel, Rizwan Ahmad, Philip Schniter p68673-68684 from Advances in Neural Information Processing Systems 36
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  • A Regularized Newton Method for Nonconvex Optimization with Global and Local Complexity Guarantees

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Regularized Newton Method for Nonconvex Optimization with Global and Local Complexity Guarantees

    Yuhao Zhou, Jintao Xu, Bingrui Li, Chenglong Bao, Chao Ding, Jun Zhu p81676-81731 from Advances in Neural Information Processing Systems 38
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