Neural Information Processing Systems Foundation, Inc. (NeurIPS)

  • On the Exploration of Local Significant Differences For Two-Sample Test

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Exploration of Local Significant Differences For Two-Sample Test

    Wei Gao, Jie Ni, Jia-He Yao, Zhijian Zhou p5262-5300 from Advances in Neural Information Processing Systems 36
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  • On the Expressive Power of Tree-Structured Probabilistic Circuits

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Expressive Power of Tree-Structured Probabilistic Circuits

    Lang Yin, Han Zhao p73830-73857 from Advances in Neural Information Processing Systems 37
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  • On the Expressivity and Sample Complexity of Node-Individualized Graph Neural Networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Expressivity and Sample Complexity of Node-Individualized Graph Neural Networks

    Karsten Borgwardt, Dexiong Chen, Paolo Pellizzoni, Till Hendrik Schulz p120221-120251 from Advances in Neural Information Processing Systems 37
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  • On the Frequency-Bias of Coordinate-MLPs

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Frequency-Bias of Coordinate-MLPs

    Simon Lucey, Lachlan E. Macdonald, Sameera Ramasinghe p796-809 from Advances in Neural Information Processing Systems 35
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  • On the Generalizability and Predictability of Recommender Systems

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Generalizability and Predictability of Recommender Systems

    John Dickerson, Sujay Khandagale, Duncan McElfresh, Jonathan Valverde, Colin White p4416-4432 from Advances in Neural Information Processing Systems 35
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  • On the Generalization Error of Stochastic Mirror Descent for Quadratically-Bounded Losses: an Improved Analysis

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Generalization Error of Stochastic Mirror Descent for Quadratically-Bounded Losses: an Improved Analysis

    Alina Ene, Huy Nguyen, Ta Duy Nguyen p69284-69308 from Advances in Neural Information Processing Systems 36
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  • On the Generalization of Learning Algorithms that Do Not Converge

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Generalization of Learning Algorithms that Do Not Converge

    Nisha Chandramoorthy, Khashayar Gatmiry, Stefanie Jegelka, Andreas Loukas p34241-34257 from Advances in Neural Information Processing Systems 35
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  • On the Generalization Power of the Overfitted Three-Layer Neural Tangent Kernel Model

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Generalization Power of the Overfitted Three-Layer Neural Tangent Kernel Model

    Peizhong Ju, Xiaojun Lin, Ness Shroff p26135-26146 from Advances in Neural Information Processing Systems 35
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  • On the Generalization Properties of Diffusion Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Generalization Properties of Diffusion Models

    Jiang Bian, Puheng Li, Zhong Li, Huishuai Zhang p2097-2127 from Advances in Neural Information Processing Systems 36
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  • On the Gini-impurity Preservation For Privacy Random Forests

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Gini-impurity Preservation For Privacy Random Forests

    Xuetong Bai, Wei Gao, Xinran Xie, Man-Jie Yuan, Zhi-Hua Zhou p45055-45082 from Advances in Neural Information Processing Systems 36
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  • On the Global Convergence Rates of Decentralized Softmax Gradient Play in Markov Potential Games

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Global Convergence Rates of Decentralized Softmax Gradient Play in Markov Potential Games

    Bo Dai, Na Li, Jincheng Mei, Dale Schuurmans, Runyu Zhang p1923-1935 from Advances in Neural Information Processing Systems 35
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  • On the Identifiability and Interpretability of Gaussian Process Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Identifiability and Interpretability of Gaussian Process Models

    Jiawen Chen, Didong Li, Yun Li, Wancen Mu p70267-70278 from Advances in Neural Information Processing Systems 36
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  • 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 Nonlinear ICA: Sparsity and Beyond

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Identifiability of Nonlinear ICA: Sparsity and Beyond

    Ignavier Ng, Kun Zhang, Yujia Zheng p16411-16422 from Advances in Neural Information Processing Systems 35
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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 Identifiability of Sparse ICA without Assuming Non-Gaussianity

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Identifiability of Sparse ICA without Assuming Non-Gaussianity

    Xinshuai Dong, Ignavier Ng, Kun Zhang, Yujia Zheng p47960-47990 from Advances in Neural Information Processing Systems 36
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  • On the impact of activation  and normalization in obtaining  isometric embeddings at initialization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the impact of activation and normalization in obtaining isometric embeddings at initialization

    Francis Bach, Hadi Daneshmand, Amir Joudaki p39855-39875 from Advances in Neural Information Processing Systems 36
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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 Implicit Bias of Linear Equivariant Steerable Networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Implicit Bias of Linear Equivariant Steerable Networks

    Ziyu Chen, Wei Zhu p6132-6155 from Advances in Neural Information Processing Systems 36
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  • On the Importance of Exploration for Generalization in Reinforcement Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Importance of Exploration for Generalization in Reinforcement Learning

    Yiding Jiang, J. Zico Kolter, Roberta Raileanu p12951-12986 from Advances in Neural Information Processing Systems 36
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  • On the Importance of Feature Separability in Predicting Out-Of-Distribution Error

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Importance of Feature Separability in Predicting Out-Of-Distribution Error

    Bo An, Yuzhou Cao, Lei Feng, Hongxin Wei, Renchunzi Xie p27783-27800 from Advances in Neural Information Processing Systems 36
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  • On the Importance of Gradient Norm in PAC-Bayesian Bounds

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Importance of Gradient Norm in PAC-Bayesian Bounds

    Yossi Adi, Itai Gat, Tamir Hazan, Alex Schwing p16068-16081 from Advances in Neural Information Processing Systems 35
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  • On the Inability of Gaussian Process Regression to Optimally Learn Compositional Functions

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Inability of Gaussian Process Regression to Optimally Learn Compositional Functions

    Matteo Giordano, Kolyan Ray, Johannes Schmidt-Hieber p22341-22353 from Advances in Neural Information Processing Systems 35
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