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

    Ta Duy Nguyen, Alina Ene, Huy Nguyen p69284-69308 from Advances in Neural Information Processing Systems 36
    Our Price: $0.00
  • 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, Andreas Loukas, Khashayar Gatmiry, Stefanie Jegelka p34241-34257 from Advances in Neural Information Processing Systems 35
    Our Price: $0.00
  • 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
    Our Price: $0.00
  • On the Generalization Properties of Diffusion Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Generalization Properties of Diffusion Models

    Puheng Li, Zhong Li, Huishuai Zhang, Jiang Bian p2097-2127 from Advances in Neural Information Processing Systems 36
    Our Price: $0.00
  • 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

    Xinran Xie, Man-Jie Yuan, Xuetong Bai, Wei Gao, Zhi-Hua Zhou p45055-45082 from Advances in Neural Information Processing Systems 36
    Our Price: $0.00
  • 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

    Runyu Zhang, Jincheng Mei, Bo Dai, Dale Schuurmans, Na Li p1923-1935 from Advances in Neural Information Processing Systems 35
    Our Price: $0.00
  • 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, Wancen Mu, Yun Li, Didong Li p70267-70278 from Advances in Neural Information Processing Systems 36
    Our Price: $0.00
  • 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

    Yubo Ye, Maryam Toloubidokhti, Sumeet Vadhavkar, Xiajun Jiang, Huafeng Liu, Linwei Wang p7714-7735 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00
  • 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

    Yujia Zheng, Ignavier Ng, Kun Zhang p16411-16422 from Advances in Neural Information Processing Systems 35
    Our Price: $0.00
  • 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

    Yu Xiang, Jie Qiao, Zhefeng Liang, Zihuai Zeng, Ruichu Cai, Zhifeng Hao p11664-11699 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00
  • 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

    Ignavier Ng, Yujia Zheng, Xinshuai Dong, Kun Zhang p47960-47990 from Advances in Neural Information Processing Systems 36
    Our Price: $0.00
  • 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

    Amir Joudaki, Hadi Daneshmand, Francis Bach p39855-39875 from Advances in Neural Information Processing Systems 36
    Our Price: $0.00