{"title":"Yang Yu","description":"\u003cp\u003e\u003c\/p\u003e\u003cp\u003eYang Yu is a professor at Nanjing University, specializing in artificial intelligence, machine learning, and optimization. His research focuses on derivative-free optimization, AutoML, and reinforcement learning. Prof. Yu has an extensive publication record in leading journals and conferences, including \u003cem\u003eArtificial Intelligence\u003c\/em\u003e, \u003cem\u003eIEEE Transactions on Pattern Analysis and Machine Intelligence\u003c\/em\u003e, \u003cem\u003eICML\u003c\/em\u003e, \u003cem\u003eNeurIPS\u003c\/em\u003e, \u003cem\u003eIJCAI\u003c\/em\u003e, and \u003cem\u003eAAAI\u003c\/em\u003e. He is a co-author of the book \u003cem\u003eEvolutionary Learning: Advances in Theories and Algorithms\u003c\/em\u003e (Springer, 2019). His work has introduced foundational frameworks and algorithms in classification-based optimization, notably Racos and SRacos, and contributed to the development of the optimization toolbox ZOOpt, widely utilized in academic and industrial research.\u003c\/p\u003e\u003cbr\u003e\u003cp\u003eHong Qian is an associate professor at East China Normal University, with expertise in optimization algorithms, machine learning, and computational intelligence. His research focuses on developing scalable derivative-free optimization techniques for high-dimensional problems with theoretical guarantees, and LLM for optimization. Dr. Qian has published extensively in prominent venues such as \u003cem\u003eICML\u003c\/em\u003e, \u003cem\u003eNeurIPS\u003c\/em\u003e, \u003cem\u003eAAAI\u003c\/em\u003e, and \u003cem\u003eIEEE Transactions on Evolutionary Computation\u003c\/em\u003e and has contributed to advancements in sampling-and-classification frameworks and their applications in machine learning and optimization tasks.\u003c\/p\u003e\u003cbr\u003e\u003cp\u003eYi-Qi Hu is an AI technical expert in Huawei Co. Ltd., with expertise in machine learning, optimization algorithms, and large language model on device. His work focuses on developing machine learning systems utilizing derivative-free optimization techniques. Dr. Hu has published extensively in prominent venues such as \u003cem\u003eAAAI\u003c\/em\u003e and \u003cem\u003eIJCAI\u003c\/em\u003e and has contributed to advancements in derivative-free optimization-based AutoML systems.\u003c\/p\u003e","products":[{"product_id":"derivative-free-optimization-yang-yu-ebook","title":"Derivative-Free Optimization","description":"\u003cp class=\"MsoNormal\"\u003eIntroduction.- Preliminaries.- Framework.- Theoretical Foundation.- Basic Algorithm.- Optimization in Sequential Mode.- Optimization in High-Dimensional Search Space.- Optimization under Noise.- Optimization with Parallel Computing.\u003c\/p\u003e","brand":"Yang Yu","offers":[{"title":"Default Title","offer_id":53652730249543,"sku":"9789819659296","price":149.79,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0920\/5455\/2903\/files\/derivative-free-optimization-ebook-cover.webp?v=1775379658"}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0920\/5455\/2903\/collections\/yang-yu-autor-kollektion.webp?v=1775379656","url":"https:\/\/www.cinebuch.de\/collections\/yang-yu.oembed","provider":"CineBuch","version":"1.0","type":"link"}