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Statistical Learning with a Nuisance Component., and . COLT, volume 99 of Proceedings of Machine Learning Research, page 1346-1348. PMLR, (2019)Online Learning: Sufficient Statistics and the Burkholder Method., , and . COLT, volume 75 of Proceedings of Machine Learning Research, page 3028-3064. PMLR, (2018)Uniform Convergence of Gradients for Non-Convex Learning and Optimization., , and . NeurIPS, page 8759-8770. (2018)Practical Contextual Bandits with Regression Oracles., , , , and . ICML, volume 80 of Proceedings of Machine Learning Research, page 1534-1543. PMLR, (2018)Hypothesis Set Stability and Generalization., , , , , and . NeurIPS, page 6726-6736. (2019)Lower Bounds for Non-Convex Stochastic Optimization., , , , , and . CoRR, (2019)Orthogonal Statistical Learning., and . CoRR, (2019)The Complexity of Making the Gradient Small in Stochastic Convex Optimization., , , , , and . COLT, volume 99 of Proceedings of Machine Learning Research, page 1319-1345. PMLR, (2019)Distributed Learning with Sublinear Communication., , , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 40-50. PMLR, (2019)Inference in Sparse Graphs with Pairwise Measurements and Side Information., , and . AISTATS, volume 84 of Proceedings of Machine Learning Research, page 1810-1818. PMLR, (2018)