Neural Information Processing Systems Foundation, Inc. (NeurIPS)

  • On the Identifiability of Hybrid Deep Generative Models: Meta-Learning as a Solution

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Identifiability of Hybrid Deep Generative Models: Meta-Learning as a Solution

    Xiajun Jiang, Huafeng Liu, Maryam Toloubidokhti, Sumeet Vadhavkar, Linwei Wang, Yubo Ye p7714-7735 from Advances in Neural Information Processing Systems 37
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  • On the Identifiability of Poisson Branching Structural Causal Model Using Probability Generating Function

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Identifiability of Poisson Branching Structural Causal Model Using Probability Generating Function

    Ruichu Cai, Zhifeng Hao, Zhefeng Liang, Jie Qiao, Yu Xiang, Zihuai Zeng p11664-11699 from Advances in Neural Information Processing Systems 37
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  • On the Impact of Feature Heterophily on Link Prediction with Graph Neural Networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Impact of Feature Heterophily on Link Prediction with Graph Neural Networks

    Xuehao Cui, Danai Koutra, Gaotang Li, Yao-An Yang, Jing Zhu, Jiong Zhu p65823-65851 from Advances in Neural Information Processing Systems 37
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  • On the Impacts of the Random Initialization in the Neural Tangent Kernel Theory

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Impacts of the Random Initialization in the Neural Tangent Kernel Theory

    Guhan Chen, Yicheng Li, Qian Lin p35909-35944 from Advances in Neural Information Processing Systems 37
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  • On the Inductive Bias of Stacking Towards Improving Reasoning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Inductive Bias of Stacking Towards Improving Reasoning

    Stefani Karp, Shankar Krishnan, Sanjiv Kumar, Sobhan Miryoosefi, Sashank Reddi, Nikunj Saunshi p71437-71464 from Advances in Neural Information Processing Systems 37
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  • On the Limitations of Fractal Dimension as a Measure of Generalization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Limitations of Fractal Dimension as a Measure of Generalization

    Michael Bronstein, Inés García-Redondo, Anthea Monod, Charlie Tan, Qiquan Wang p60309-60334 from Advances in Neural Information Processing Systems 37
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  • On the Minimax Regret for Contextual Linear Bandits and Multi-Armed Bandits with Expert Advice

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Minimax Regret for Contextual Linear Bandits and Multi-Armed Bandits with Expert Advice

    Shinji Ito p61793-61812 from Advances in Neural Information Processing Systems 37
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  • On the Necessity of Collaboration for Online Model Selection with Decentralized Data

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Necessity of Collaboration for Online Model Selection with Decentralized Data

    Irwin King, Junfan Li, Zheshun Wu, Zenglin Xu p85583-85629 from Advances in Neural Information Processing Systems 37
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  • On the Noise Robustness of In-Context Learning for Text Generation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Noise Robustness of In-Context Learning for Text Generation

    Hongfu Gao, Wenyu Jiang, Jun Shu, Hongxin Wei, Feipeng Zhang, Feng Zheng p16569-16600 from Advances in Neural Information Processing Systems 37
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  • On the Optimal Time Complexities in Decentralized Stochastic Asynchronous Optimization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Optimal Time Complexities in Decentralized Stochastic Asynchronous Optimization

    Peter Richtárik, Alexander Tyurin p122652-122705 from Advances in Neural Information Processing Systems 37
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  • On the Optimality of Dilated Entropy and Lower Bounds for Online Learning in Extensive-Form Games

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Optimality of Dilated Entropy and Lower Bounds for Online Learning in Extensive-Form Games

    Zhiyuan Fan, Gabriele Farina, Christian Kroer p88373-88409 from Advances in Neural Information Processing Systems 37
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  • On the Parameter Identifiability of Partially Observed Linear Causal Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Parameter Identifiability of Partially Observed Linear Causal Models

    Xinshuai Dong, Biwei Huang, Songyao Jin, Roberto Legaspi, Ignavier Ng, Peter Spirtes, Yuewen Sun, Kun Zhang p30740-30771 from Advances in Neural Information Processing Systems 37
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  • On the Power of Decision Trees in Auto-Regressive Language Modeling

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Power of Decision Trees in Auto-Regressive Language Modeling

    Tomer Galanti, Yulu Gan, Eran Malach, Tomaso Poggio p62384-62408 from Advances in Neural Information Processing Systems 37
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  • On the Power of Small-size Graph Neural Networks for Linear Programming

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Power of Small-size Graph Neural Networks for Linear Programming

    Tian Ding, Qian Li, Minghui Ouyang, Qingjiang Shi, Ruoyu Sun, Linxin Yang p38695-38719 from Advances in Neural Information Processing Systems 37
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  • On the Robustness of Spectral Algorithms for Semirandom Stochastic Block Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Robustness of Spectral Algorithms for Semirandom Stochastic Block Models

    Aditya Bhaskara, Agastya Jha, Michael Kapralov, Naren Manoj, Davide Mazzali, Weronika Wrzos-Kaminska p112731-112776 from Advances in Neural Information Processing Systems 37
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  • On the Role of Attention Masks and LayerNorm in Transformers

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Role of Attention Masks and LayerNorm in Transformers

    Amir Ajorlou, Ali Jadbabaie, Stefanie Jegelka, Yifei Wang, Xinyi Wu p14774-14809 from Advances in Neural Information Processing Systems 37
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  • On the Role of Information Structure in Reinforcement Learning for Partially-Observable Sequential Teams and Games

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Role of Information Structure in Reinforcement Learning for Partially-Observable Sequential Teams and Games

    Awni Altabaa, Zhuoran Yang p6648-6710 from Advances in Neural Information Processing Systems 37
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  • On the Saturation Effects of Spectral Algorithms in Large Dimensions

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Saturation Effects of Spectral Algorithms in Large Dimensions

    Yicheng Li, Qian Lin, Weihao Lu, Haobo Zhang p7011-7059 from Advances in Neural Information Processing Systems 37
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  • On the Scalability of Certified Adversarial Robustness with Generated Data

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Scalability of Certified Adversarial Robustness with Generated Data

    Thomas Altstidl, David Dobre, Björn Eskofier, Gauthier Gidel, Arthur Kosmala, Leo Schwinn p102255-102278 from Advances in Neural Information Processing Systems 37
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  • On the Scalability of GNNs for Molecular Graphs

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Scalability of GNNs for Molecular Graphs

    Dominique Beaini, Nia Dickson, Philip Fradkin, Farimah Poursafaei, Karush Suri, Maciej Sypetkowski, Frederik Wenkel p19870-19906 from Advances in Neural Information Processing Systems 37
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  • On the Sparsity of the Strong Lottery Ticket Hypothesis

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Sparsity of the Strong Lottery Ticket Hypothesis

    Davide Ferré, Giordano Giambartolomei, Frédéric Giroire, Frederik Mallmann-Trenn, Emanuele Natale p40565-40592 from Advances in Neural Information Processing Systems 37
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  • On the Stability and Generalization of Meta-Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Stability and Generalization of Meta-Learning

    Raman Arora, Yunjuan Wang p83665-83710 from Advances in Neural Information Processing Systems 37
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  • On the Surprising Effectiveness of Attention Transfer for Vision Transformers

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Surprising Effectiveness of Attention Transfer for Vision Transformers

    Beidi Chen, Xinlei Chen, Alexander Li, Deepak Pathak, Yuandong Tian p113963-113990 from Advances in Neural Information Processing Systems 37
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  • On the Target-kernel Alignment: a Unified Analysis with Kernel Complexity

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Target-kernel Alignment: a Unified Analysis with Kernel Complexity

    Xin He, Chao Wang, Junhui Wang, Yuwen Wang p40434-40485 from Advances in Neural Information Processing Systems 37
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