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Poster
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Thu 10:45
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Fair Algorithms for Clustering
Suman Bera · Deeparnab Chakrabarty · Nicolas Flores · Maryam Negahbani
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Poster
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Tue 17:30
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On the Power and Limitations of Random Features for Understanding Neural Networks
Gilad Yehudai · Ohad Shamir
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Poster
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Wed 17:00
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Time/Accuracy Tradeoffs for Learning a ReLU with respect to Gaussian Marginals
Surbhi Goel · Sushrut Karmalkar · Adam Klivans
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Poster
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Tue 10:45
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Efficient Approximation of Deep ReLU Networks for Functions on Low Dimensional Manifolds
Minshuo Chen · Haoming Jiang · Wenjing Liao · Tuo Zhao
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Poster
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Thu 17:00
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Nearly Tight Bounds for Robust Proper Learning of Halfspaces with a Margin
Ilias Diakonikolas · Daniel Kane · Pasin Manurangsi
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Poster
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Tue 10:45
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Universal Invariant and Equivariant Graph Neural Networks
Nicolas Keriven · Gabriel Peyré
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Poster
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Thu 10:45
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Locally Private Learning without Interaction Requires Separation
Amit Daniely · Vitaly Feldman
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Poster
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Thu 17:00
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Interaction Hard Thresholding: Consistent Sparse Quadratic Regression in Sub-quadratic Time and Space
Shuo Yang · Yanyao Shen · Sujay Sanghavi
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Poster
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Thu 17:00
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Random Quadratic Forms with Dependence: Applications to Restricted Isometry and Beyond
Arindam Banerjee · Qilong Gu · Vidyashankar Sivakumar · Steven Wu
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Poster
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Wed 10:45
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Saccader: Improving Accuracy of Hard Attention Models for Vision
Gamaleldin Elsayed · Simon Kornblith · Quoc V Le
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Poster
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Thu 10:45
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Convergence of Adversarial Training in Overparametrized Neural Networks
Ruiqi Gao · Tianle Cai · Haochuan Li · Cho-Jui Hsieh · Liwei Wang · Jason Lee
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Poster
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Wed 17:00
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Limitations of Lazy Training of Two-layers Neural Network
Behrooz Ghorbani · Song Mei · Theodor Misiakiewicz · Andrea Montanari
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