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A Learning-Based Framework for Quantized Compressed Sensing.

, , and . IEEE Signal Process. Lett., 26 (6): 883-887 (2019)

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A Smooth Primal-Dual Optimization Framework for Nonsmooth Composite Convex Minimization., , and . SIAM J. Optim., 28 (1): 96-134 (2018)On the linear convergence of the stochastic gradient method with constant step-size., and . Optim. Lett., 13 (5): 1177-1187 (2019)A Learning-Based Framework for Quantized Compressed Sensing., , and . IEEE Signal Process. Lett., 26 (6): 883-887 (2019)A Newton Frank-Wolfe Method for Constrained Self-Concordant Minimization., , and . CoRR, (2020)Iterative Classroom Teaching., , , , , , , and . AAAI, page 5684-5692. AAAI Press, (2019)An adaptive primal-dual framework for nonsmooth convex minimization., , , and . Math. Program. Comput., 12 (3): 451-491 (2020)Benign Overfitting in Deep Neural Networks under Lazy Training., , , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 43105-43128. PMLR, (2023)Escaping limit cycles: Global convergence for constrained nonconvex-nonconcave minimax problems., , , , and . ICLR, OpenReview.net, (2022)Sound and Complete Verification of Polynomial Networks., , , , and . NeurIPS, (2022)Adaptive Stochastic Variance Reduction for Non-convex Finite-Sum Minimization., , , , and . NeurIPS, (2022)