Paper

  • Gradient Informed Proximal Policy Optimization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Gradient Informed Proximal Policy Optimization

    Ming Lin, Yi-Ling Qiao, Sanghyun Son, Ryan Sullivan, Laura Zheng p8788-8814 from Advances in Neural Information Processing Systems 36
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  • Gradient Methods for Online DR-Submodular Maximization with Stochastic Long-Term Constraints

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Gradient Methods for Online DR-Submodular Maximization with Stochastic Long-Term Constraints

    Vaneet Aggarwal, Guanyu Nie, Christopher Quinn p20510-20539 from Advances in Neural Information Processing Systems 37
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  • Gradient Methods Provably Converge to Non-Robust Networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Gradient Methods Provably Converge to Non-Robust Networks

    Ohad Shamir, Gal Vardi, Gilad Yehudai p20921-20932 from Advances in Neural Information Processing Systems 35
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  • Gradient Rewiring for Editable Graph Neural Network Training

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Gradient Rewiring for Editable Graph Neural Network Training

    Qizhang Feng, Xiaotian Han, Xia Hu, Zhimeng Jiang, Hongye Jin, Zirui Liu, Qiaoyu Tan, Kaixiong Zhou, Na Zou p61813-61838 from Advances in Neural Information Processing Systems 37
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  • Gradient-based Discrete Sampling with Automatic Cyclical Scheduling

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Gradient-based Discrete Sampling with Automatic Cyclical Scheduling

    Riddhiman Bhattacharya, Arun Hariharan, Patrick Pynadath, Ruqi Zhang p46728-46763 from Advances in Neural Information Processing Systems 37
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  • Gradient-Based Feature Learning under Structured Data

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Gradient-Based Feature Learning under Structured Data

    Murat Erdogdu, Alireza Mousavi-Hosseini, Taiji Suzuki, Denny Wu p71449-71485 from Advances in Neural Information Processing Systems 36
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  • Gradient-free Decoder Inversion in Latent Diffusion Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Gradient-free Decoder Inversion in Latent Diffusion Models

    Young Chun, Seongmin Hong, Suh Jeon, Kyeonghyun Lee, Ernest Ryu p82982-83007 from Advances in Neural Information Processing Systems 37
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  • Gradient-Free Kernel Stein Discrepancy

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Gradient-Free Kernel Stein Discrepancy

    Matthew Fisher, Chris Oates p23855-23885 from Advances in Neural Information Processing Systems 36
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  • Gradient-Free Methods for Deterministic and Stochastic Nonsmooth Nonconvex Optimization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Gradient-Free Methods for Deterministic and Stochastic Nonsmooth Nonconvex Optimization

    Michael Jordan, Tianyi Lin, Zeyu Zheng p26160-26175 from Advances in Neural Information Processing Systems 35
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  • Gradient-Free Methods for Nonconvex Nonsmooth Stochastic Compositional Optimization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Gradient-Free Methods for Nonconvex Nonsmooth Stochastic Compositional Optimization

    Zhuanghua Liu, Bryan Kian Hsiang Low, Luo Luo p45438-45461 from Advances in Neural Information Processing Systems 37
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  • Gradient-Variation Online Learning under Generalized Smoothness

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Gradient-Variation Online Learning under Generalized Smoothness

    Yan-Feng Xie, Peng Zhao, Zhi-Hua Zhou p37865-37899 from Advances in Neural Information Processing Systems 37
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  • Gradients of Functions of Large Matrices

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Gradients of Functions of Large Matrices

    Søren Hauberg, Nicholas Krämer, Pablo Moreno-Muñoz, Hrittik Roy p49484-49518 from Advances in Neural Information Processing Systems 37
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