Paper

  • 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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