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3 Results
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Workshop
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Analyzing and Improving Surrogate Gradient Training in Discrete Neural Networks Using Dynamical Systems Theory Rainer Engelken · Larry Abbott |
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Poster
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Thu 4:30 |
Bounding the Excess Risk for Linear Models Trained on Marginal-Preserving, Differentially-Private, Synthetic Data Yvonne Zhou · Mingyu Liang · Ivan Brugere · Danial Dervovic · Antigoni Polychroniadou · Min Wu · Dana Dachman-Soled |
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Poster
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Tue 4:30 |
A Differentiable Partially Observable Generalized Linear Model with Forward-Backward Message Passing Chengrui Li · Weihan Li · Yule Wang · Anqi Wu |