Paper

  • Gradient Flossing: Improving Gradient Descent through Dynamic Control of Jacobians

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Gradient Flossing: Improving Gradient Descent through Dynamic Control of Jacobians

    Rainer Engelken p10412-10439 from Advances in Neural Information Processing Systems 36
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  • Gradient Flow Dynamics of Shallow ReLU Networks for Square Loss and Orthogonal Inputs

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Gradient Flow Dynamics of Shallow ReLU Networks for Square Loss and Orthogonal Inputs

    Etienne Boursier, Loucas Pillaud-Vivien, Nicolas Flammarion p20105-20118 from Advances in Neural Information Processing Systems 35
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  • Gradient Guidance for Diffusion Models: An Optimization Perspective

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Gradient Guidance for Diffusion Models: An Optimization Perspective

    Yingqing Guo, Hui Yuan, Yukang Yang, Minshuo Chen, Mengdi Wang p90736-90770 from Advances in Neural Information Processing Systems 37
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  • Gradient Informed Proximal Policy Optimization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Gradient Informed Proximal Policy Optimization

    Sanghyun Son, Laura Zheng, Ryan Sullivan, Yi-Ling Qiao, Ming Lin 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

    Guanyu Nie, Vaneet Aggarwal, 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

    Gal Vardi, Gilad Yehudai, Ohad Shamir 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

    Zhimeng Jiang, Zirui Liu, Xiaotian Han, Qizhang Feng, Hongye Jin, Qiaoyu Tan, Kaixiong Zhou, Na Zou, Xia Hu 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

    Patrick Pynadath, Riddhiman Bhattacharya, Arun Hariharan, 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

    Alireza Mousavi-Hosseini, Denny Wu, Taiji Suzuki, Murat Erdogdu 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

    Seongmin Hong, Suh Jeon, Kyeonghyun Lee, Ernest Ryu, Young Chun 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

    Tianyi Lin, Zeyu Zheng, Michael Jordan p26160-26175 from Advances in Neural Information Processing Systems 35
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