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Derivative-Free Optimization of High-Dimensional Non-Convex Functions by Sequential Random Embeddings.

, , and . IJCAI, page 1946-1952. IJCAI/AAAI Press, (2016)

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A Multi-task Learning Approach by Combining Derivative-Free and Gradient Methods., and . BIC-TA (1), volume 681 of Communications in Computer and Information Science, page 456-465. Springer, (2016)Derivative-Free Optimization via Classification., , and . AAAI, page 2286-2292. AAAI Press, (2016)Sequential Classification-Based Optimization for Direct Policy Search., , and . AAAI, page 2029-2035. AAAI Press, (2017)Derivative-Free Optimization of High-Dimensional Non-Convex Functions by Sequential Random Embeddings., , and . IJCAI, page 1946-1952. IJCAI/AAAI Press, (2016)Taking Human out of Learning Applications: A Survey on Automated Machine Learning., , , , , , , , and . CoRR, (2018)Asynchronous classification-based optimization., , , and . DAI, page 9:1-9:8. ACM, (2019)Experienced Optimization with Reusable Directional Model for Hyper-Parameter Search., , and . IJCAI, page 2276-2282. ijcai.org, (2018)Symbolic execution of complex program driven by machine learning based constraint solving., , , , , , , and . ASE, page 554-559. ACM, (2016)Cascaded Algorithm-Selection and Hyper-Parameter Optimization with Extreme-Region Upper Confidence Bound Bandit., , and . IJCAI, page 2528-2534. ijcai.org, (2019)ZOOpt/ZOOjl: Toolbox for Derivative-Free Optimization., , , , and . CoRR, (2018)