dolcit caltech
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In the same way that the printing press heralded the start of the Renaissance and the study of physics helped to foster the Industrial Revolution, technological advances in computation and communication in the 20th century have set the stage for the Age of Information. Caltech has a unique and remarkable history of creating new CS X.
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Decision, Optimization and Learning at the California Institute of Technology. In our increasingly data-rich world, it is more important than ever to develop principled approaches that can intelligently convert raw data into actionable knowledge. It is clear that intelligent information processing is now a critical bottleneck in many scientific and engineering endeavors, ranging from planning clinical trials to managing smart energy grids. Ptimization, and L. Earning at the C. Research in DOLCIT is uniqu.CONTENT
This web page had the following in the web page, "Decision, Optimization and Learning at the California Institute of Technology." We saw that the web page stated " In our increasingly data-rich world, it is more important than ever to develop principled approaches that can intelligently convert raw data into actionable knowledge." It also said " It is clear that intelligent information processing is now a critical bottleneck in many scientific and engineering endeavors, ranging from planning clinical trials to managing smart energy grids. Research in DOLCIT is uniqu."SEEK SUBSEQUENT WEB SITES
My name is Hoang Minh Le. At Caltech since September 2014. I work on Machine Learning theory and applications under the guidance of Professor Yisong Yue. I am broadly interested in reinforcement learning. A bit more concretely, I find myself gravitated towards the areas of sequential decision making, long-term planning, online learning, and high-dimensional time series modeling. Le, Yisong Yue, Peter Carr.
My advisor is Professor Yisong Yue. In Mountain View, CA. My research interests are unsupervised learning, reinforcement learning and deep learning. 1 paper accepted at NIPS 2016.
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