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

    Lucas Gnecco Heredia, Muni Sreenivas Pydi, Laurent Meunier, Benjamin Negrevergne, Yann Chevaleyre 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

    Dennis Wei, Rahul Nair, Amit Dhurandhar, Kush Varshney, Elizabeth Daly, Moninder Singh 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, Adam Wierman, Guannan Qu 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

    Weihao Lu, Haobo Zhang, Yicheng Li, Qian Lin 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, Arthur Kosmala, Björn Eskofier, Gauthier Gidel, 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

    Maciej Sypetkowski, Frederik Wenkel, Farimah Poursafaei, Nia Dickson, Karush Suri, Philip Fradkin, Dominique Beaini 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

    Sadhika Malladi, Kaifeng Lyu, Abhishek Panigrahi, Sanjeev Arora 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

    Alaa Maalouf, Murad Tukan, Noel Loo, Ramin Hasani, Mathias Lechner, Daniela Rus 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

    Emanuele Natale, Davide Ferré, Giordano Giambartolomei, Frédéric Giroire, Frederik Mallmann-Trenn 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

    Amnon Geifman, Meirav Galun, 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

    Aditya Vardhan Varre, Maria-Luiza Vladarean, Loucas Pillaud-Vivien, Nicolas Flammarion 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

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