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An Elementary Approach to Convergence Guarantees of Optimization Algorithms for Deep Networks., and . Allerton, page 84-91. IEEE, (2019)A Simple Adaptive Tracker with Reminiscences., , and . ICRA, page 6596-6603. IEEE, (2019)Stochastic optimization on matrices and a graphon McKean-Vlasov limit., , , , and . CoRR, (2022)Superquantile-Based Learning: A Direct Approach Using Gradient-Based Optimization., , and . J. Signal Process. Syst., 94 (2): 161-177 (2022)On the Convergence of the Iterative Linear Exponential Quadratic Gaussian Algorithm to Stationary Points., , , and . ACC, page 132-137. IEEE, (2020)Object Discovery in Videos as Foreground Motion Clustering., , , and . CVPR, page 9994-10003. Computer Vision Foundation / IEEE, (2019)Modified Gauss-Newton Algorithms under Noise., , , and . SSP, page 51-55. IEEE, (2023)Testing for Homogeneity with Kernel Fisher Discriminant Analysis., , and . NIPS, page 609-616. Curran Associates, Inc., (2007)Influence Diagnostics under Self-concordance., , , , and . AISTATS, volume 206 of Proceedings of Machine Learning Research, page 10028-10076. PMLR, (2023)Triangular Flows for Generative Modeling: Statistical Consistency, Smoothness Classes, and Fast Rates., , , and . AISTATS, volume 151 of Proceedings of Machine Learning Research, page 10161-10195. PMLR, (2022)