Simons Institute Tutorial on Foundations of Deep Learning
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Foundations of Deep Learning: SGD, Overparametrization, and Generalization
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Selective Inference for Full Model Parameters and Communication-efficient Lasso
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Selective Inference via the Condition on Selection Framework: Inference after Variable Selection
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Exact Inference after Model Selection via Lasso and Marginal Screening
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Proximal Newton Methods for Composite Optimization
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Structure Learning of Mixed Graphical Models
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