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Transferring Optimality Across Data Distributions via Homotopy Methods

, , , , и . International Conference on Learning Representations, (2020)

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Quoc-Dan Dinh

Quoc Thai Dinh

Quoc-Thai Dinh

Quoc-Tuan Dinh

Quoc Dinh Nguyen

 

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Convergence Analysis of Homotopy-SGD for non-convex optimization., , , , и . CoRR, (2020)Shuffling Gradient-Based Methods with Momentum., , и . CoRR, (2020)Hogwild! over Distributed Local Data Sets with Linearly Increasing Mini-Batch Sizes., , , , , и . AISTATS, том 130 из Proceedings of Machine Learning Research, стр. 1207-1215. PMLR, (2021)Contraction Estimates for Abstract Real-Time Algorithms for NMPC., , и . CDC, стр. 8085-8092. IEEE, (2019)Improved Complexity Of Trust-Region Optimization For Zeroth-Order Stochastic Oracles with Adaptive Sampling., , и . WSC, стр. 1-12. IEEE, (2021)Time-optimal path following for robots with trajectory jerk constraints using sequential convex programming., , , , , , и . ICRA, стр. 1916-1921. IEEE, (2013)Non-stationary Douglas-Rachford and alternating direction method of multipliers: adaptive step-sizes and convergence., и . Comput. Optim. Appl., 74 (1): 67-92 (2019)SMG: A Shuffling Gradient-Based Method with Momentum., , и . ICML, том 139 из Proceedings of Machine Learning Research, стр. 10379-10389. PMLR, (2021)Real-time sequential convex programming for nonlinear model predictive control and application to a hydro-power plant., , и . CDC/ECC, стр. 5905-5910. IEEE, (2011)FedDR - Randomized Douglas-Rachford Splitting Algorithms for Nonconvex Federated Composite Optimization., , , и . NeurIPS, стр. 30326-30338. (2021)