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Showing results 30 to 45 of 45 < previous 
Issue DateTitleAuthor(s)
2017Non-convex Optimization for Machine Learning: Design, Analysis, and UnderstandingMa, Tengyu
2018Nonconvex Statistical OptimizationWang, Zhaoran
2016Optimal and Adaptive Online LearningLuo, Haipeng
2017Part I. Engaging Iminium Ions and Radicals in Nickel Catalysis. Part II. Predictive Reaction Modeling Using Machine Learning.Ahneman, Derek
2022Predicting Cancer Driver Mutations Using Deep Learning Protein Language ModelsDu, Judy
2022Predicting Protein Interaction Sites Through Machine Learning and Data AggregationEtzion-Fuchs, Anat
2013Provable Algorithms for Machine Learning ProblemsGe, Rong
2017Relaxing the Implementation of Embedded Sensing Systems through Machine Learning and Statistical OptimizationWang, Zhuo
2015Scalable inference of discrete data: user behavior, networks and genetic variationGopalan, Prem Krishna
2019Strategies for predicting, understanding, and controlling colloidal crystallizationReinhart, Wesley F
2016Targeted analyses of very large genome-wide data collectionsLee, Young-suk
2017The Study of Complex Behavioral Changes with Age in Drosophila melanogaster Using a Quantitative Framework for Behavioral DescriptionChoi, Daniel Moon-hyung
May-2020Toward fusion plasma scenario planning for NSTX-U using machine-learning-accelerated modelsMark D. Boyer
2020Towards Flexible Active And Online Learning With Neural NetworksAsh, Jordan
2021Understanding and Measuring Privacy Risks in Machine LearningSong, Liwei
2021Understanding Deep Learning via Analyzing Dynamics of Gradient DescentHu, Wei