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Riemannian stochastic optimization methods avoid strict saddle points., , , and . CoRR, (2023)Prospects and challenges of cancer systems medicine: from genes to disease networks., , , , and . Briefings Bioinform., (2022)Online Active Model Selection for Pre-trained Classifiers., , , , , and . CoRR, (2020)Sinkhorn Flow as Mirror Flow: A Continuous-Time Framework for Generalizing the Sinkhorn Algorithm., , and . AISTATS, volume 238 of Proceedings of Machine Learning Research, page 4186-4194. PMLR, (2024)Isotropic Gaussian Processes on Finite Spaces of Graphs., , , and . CoRR, (2022)Sinkhorn Flow: A Continuous-Time Framework for Understanding and Generalizing the Sinkhorn Algorithm., , and . CoRR, (2023)The Dynamics of Riemannian Robbins-Monro Algorithms., , , and . COLT, volume 178 of Proceedings of Machine Learning Research, page 3503. PMLR, (2022)A Dynamical System View of Langevin-Based Non-Convex Sampling., , and . CoRR, (2022)Online Active Model Selection for Pre-trained Classifiers., , , , , and . AISTATS, volume 130 of Proceedings of Machine Learning Research, page 307-315. PMLR, (2021)Stochastic Submodular Maximization: The Case of Coverage Functions., , , and . NIPS, page 6853-6863. (2017)