Edgar Dobriban

high-dimensional asymptotics · random feature models · dimension reduction · PCA · scalable data analysis · randomized algorithms · sketching and random projections · distributed learning · uncertainty quantification for machine learning · statistics in algorithmic fairness · data augmentation · invariance · and symmetry