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Universal Stagewise Learning for Non-Convex Problems with Convergence on Averaged Solutions.

, , , , , and . ICLR (Poster), OpenReview.net, (2019)

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Fast Stochastic AUC Maximization with O(1/n)-Convergence Rate., , , , and . ICML, volume 80 of Proceedings of Machine Learning Research, page 3195-3203. PMLR, (2018)Efficient Rank Minimization via Solving Non-convexPenalties by Iterative Shrinkage-Thresholding Algorithm.. CoRR, (2018)SADAGRAD: Strongly Adaptive Stochastic Gradient Methods., , , and . ICML, volume 80 of Proceedings of Machine Learning Research, page 912-920. PMLR, (2018)Katalyst: Boosting Convex Katayusha for Non-Convex Problems with a Large Condition Number., , , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 1102-1111. PMLR, (2019)Continuous Submodular Maximization: Boosting via Non-oblivious Function., , , and . CoRR, (2022)Aligned Matrix Completion: Integrating Consistency and Independency in Multiple Domains., , , , , and . ICDM, page 529-538. IEEE Computer Society, (2016)Joint Semantic Domain Alignment and Target Classifier Learning for Unsupervised Domain Adaptation., , , , and . CoRR, (2019)Symmetric Cross Entropy for Robust Learning with Noisy Labels., , , , , and . CoRR, (2019)Selecting Social Media Responses to News: A Convex Framework Based On Data Reconstruction., , , , , and . SDM, page 541-549. SIAM, (2015)Universal Stagewise Learning for Non-Convex Problems with Convergence on Averaged Solutions., , , , , and . ICLR (Poster), OpenReview.net, (2019)