Qiang Liu
ResearchMy research area is machine learning and statistics, with interests spreading over the pipeline of data collection (e.g., by crowdsourcing), learning, inference, decision making, and various applications using probabilistic modeling. Examples of topics of interest: probabilistic graphical models; variational and Monte Carlo inference; deep learning; deep reinforcement learning; distributed learning; big data problems; kernel and nonparametric methods; applications: crowdsourcing, vision, bioinformatics, etc. I am an action editor of Journal of Machine Learning Research (JMLR). Selected / Recent Publications and SlidesNew. Probabilistic Learning and Inference Using Stein's Method [Project Page, slides v1, slides v2]
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