Upcoming Seminars
April 2021
April 5, 2021 - 1:00pm | |||
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Overparameterized and Adversarially Robust Sparse ModelsApril 5, 2021 - 1:00pm Abstract: Sparsity has been a driving force in signal & image processing and machine learning for decades. In this talk we’ll explore... |
Speaker: Jeremias Sulam, Johns Hopkins | |
April 12, 2021 - 10:00am | |||
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Transport methods for likelihood-free inference and nonlinear filteringApril 12, 2021 - 10:00am Abstract: Many practical Bayesian inference problems fall into the “likelihood-free” setting, where evaluations of the likelihood function or... |
Speaker: Youssef Marzouk, MIT | |
April 19, 2021 - 1:00pm | |||
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Graph Convolutional Neural Networks: The Mystery of GeneralizationApril 19, 2021 - 1:00pm Abstract: The tremendous importance of graph structured data due to recommender systems or social networks led to the introduction of graph... |
Speaker: Gitta Kutyniok, LMU Munich | |
April 27, 2021 - 2:00pm | |||
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On the Implicit Bias of DropoutApril 27, 2021 - 2:00pm Abstract: Dropout is a simple yet effective regularization technique that has been applied to various machine learning tasks, including linear... |
Speaker: Rene Vidal, Johns Hopkins | |