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Transferring Optimality Across Data Distributions via Homotopy Methods

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

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Transferring Optimality Across Data Distributions via Homotopy Methods, , , , and . International Conference on Learning Representations, (2020)Convergence Analysis of Homotopy-SGD for non-convex optimization., , , , and . CoRR, (2020)Probabilistic Rollouts for Learning Curve Extrapolation Across Hyperparameter Settings., , , and . CoRR, (2019)Data-driven optimal control of affine systems: A linear programming perspective., , , and . CoRR, (2022)Policy Iteration for Multiplicative Noise Output Feedback Control., , , and . CDC, page 2967-2972. IEEE, (2022)Transferring Optimality Across Data Distributions via Homotopy Methods., , , , and . ICLR, OpenReview.net, (2020)Data-driven optimal control with a relaxed linear program., , and . Autom., (2022)PAGE-PG: A Simple and Loopless Variance-Reduced Policy Gradient Method with Probabilistic Gradient Estimation., , , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 7223-7240. PMLR, (2022)On the Promise of the Stochastic Generalized Gauss-Newton Method for Training DNNs., , , and . CoRR, (2020)Dynamic Programming Through the Lens of Semismooth Newton-Type Methods., , , , and . IEEE Control. Syst. Lett., (2022)