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A Conditional-Gradient-Based Augmented Lagrangian Framework.

, , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 7272-7281. PMLR, (2019)

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Iterative Classroom Teaching., , , , , , , and . AAAI, page 5684-5692. AAAI Press, (2019)Escaping limit cycles: Global convergence for constrained nonconvex-nonconcave minimax problems., , , , and . CoRR, (2023)On the linear convergence of the stochastic gradient method with constant step-size., and . Optim. Lett., 13 (5): 1177-1187 (2019)Escaping limit cycles: Global convergence for constrained nonconvex-nonconcave minimax problems., , , , and . ICLR, OpenReview.net, (2022)Benign Overfitting in Deep Neural Networks under Lazy Training., , , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 43105-43128. PMLR, (2023)Consistency of ℓ1-regularized maximum-likelihood for compressive Poisson regression., and . ICASSP, page 3606-3610. IEEE, (2015)Finding Mixed Nash Equilibria of Generative Adversarial Networks., , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 2810-2819. PMLR, (2019)A Newton Frank-Wolfe Method for Constrained Self-Concordant Minimization., , and . CoRR, (2020)Subquadratic Overparameterization for Shallow Neural Networks., , , , and . NeurIPS, page 11247-11259. (2021)Adaptive Stochastic Variance Reduction for Non-convex Finite-Sum Minimization., , , , and . NeurIPS, (2022)