Paper

  • On the Role of Randomization in Adversarially Robust Classification

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Role of Randomization in Adversarially Robust Classification

    Yann Chevaleyre, Lucas Gnecco Heredia, Laurent Meunier, Benjamin Negrevergne, Muni Sreenivas Pydi p79293-79319 from Advances in Neural Information Processing Systems 36
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  • On the Safety of Interpretable Machine Learning: A Maximum Deviation Approach

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Safety of Interpretable Machine Learning: A Maximum Deviation Approach

    Elizabeth Daly, Amit Dhurandhar, Rahul Nair, Moninder Singh, Kush Varshney, Dennis Wei p9866-9880 from Advances in Neural Information Processing Systems 35
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  • On the Sample Complexity of Stabilizing LTI Systems on a Single Trajectory

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Sample Complexity of Stabilizing LTI Systems on a Single Trajectory

    Yang Hu, Guannan Qu, Adam Wierman p16989-17002 from Advances in Neural Information Processing Systems 35
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  • On the Saturation Effects of Spectral Algorithms in Large Dimensions

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Saturation Effects of Spectral Algorithms in Large Dimensions

    Yicheng Li, Qian Lin, Weihao Lu, Haobo Zhang p7011-7059 from Advances in Neural Information Processing Systems 37
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  • On the Scalability of Certified Adversarial Robustness with Generated Data

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Scalability of Certified Adversarial Robustness with Generated Data

    Thomas Altstidl, David Dobre, Björn Eskofier, Gauthier Gidel, Arthur Kosmala, Leo Schwinn p102255-102278 from Advances in Neural Information Processing Systems 37
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  • On the Scalability of GNNs for Molecular Graphs

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Scalability of GNNs for Molecular Graphs

    Dominique Beaini, Nia Dickson, Philip Fradkin, Farimah Poursafaei, Karush Suri, Maciej Sypetkowski, Frederik Wenkel p19870-19906 from Advances in Neural Information Processing Systems 37
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  • On the SDEs and Scaling Rules for Adaptive Gradient Algorithms

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the SDEs and Scaling Rules for Adaptive Gradient Algorithms

    Sanjeev Arora, Kaifeng Lyu, Sadhika Malladi, Abhishek Panigrahi p7697-7711 from Advances in Neural Information Processing Systems 35
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  • On the Size and Approximation Error of Distilled Datasets

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Size and Approximation Error of Distilled Datasets

    Ramin Hasani, Mathias Lechner, Noel Loo, Alaa Maalouf, Daniela Rus, Murad Tukan p61085-61102 from Advances in Neural Information Processing Systems 36
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  • On the Sparsity of the Strong Lottery Ticket Hypothesis

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Sparsity of the Strong Lottery Ticket Hypothesis

    Davide Ferré, Giordano Giambartolomei, Frédéric Giroire, Frederik Mallmann-Trenn, Emanuele Natale p40565-40592 from Advances in Neural Information Processing Systems 37
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  • On the Spectral Bias of Convolutional Neural Tangent and Gaussian Process Kernels

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Spectral Bias of Convolutional Neural Tangent and Gaussian Process Kernels

    Meirav Galun, Amnon Geifman, David Jacobs, Basri Ronen p11253-11265 from Advances in Neural Information Processing Systems 35
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  • On the spectral bias of two-layer linear networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the spectral bias of two-layer linear networks

    Nicolas Flammarion, Loucas Pillaud-Vivien, Aditya Vardhan Varre, Maria-Luiza Vladarean p64380-64414 from Advances in Neural Information Processing Systems 36
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  • On the Stability and Generalization of Meta-Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Stability and Generalization of Meta-Learning

    Raman Arora, Yunjuan Wang p83665-83710 from Advances in Neural Information Processing Systems 37
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