A Survey of Statistical Research in Neural Networks and Deep Learning
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Deep Learning Opening Workshop: Quoc Tran-Dinh, August 14, 2019
ProxSARAH Algorithms for Stochastic Composite Nonconvex Optimization
Deep Learning Opening Workshop: Johannes Schmidt-Hieber, August 14, 2019
Deep ReLU Networks Viewed as a Statistical Method
Deep Learning Opening Workshop: Junier Oliva, August 13, 2019
Improving Generative Models
Deep Learning Opening Workshop: Poh-Ling Loh, August 12, 2019
Robust Information Bottleneck
Deep Learning Opening Workshop: Bianca Dumitrascu, August 13, 2019
Domain Adaptation Challenges in Genomics: a deep learning take on medical pathology
Deep Learning Opening Workshop: Rebecca Willett, August 13, 2019
Learning to Solve Inverse Problems in Imaging
Deep Learning Opening Workshop: Anindya Bhadra, August 12, 2019
Horseshoe Regularization for Machine Learning in Complex and Deep Models
Deep Learning Opening Workshop: Harrison Zhou, August 12, 2019
Statistical and Computational Guarantees of EM with Random Initialization
Deep Learning Opening Workshop: Amitabh Basu, August 12, 2019
Admissibility of Solution Estimators in Stochastic Optimization