Optimization for Machine Learning
Suvrit (Research Scientist, Max Planck Institute for Intelligent Sra
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Advances in Large-Margin Classifiers
Alexander J. Smola
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Large-Scale Kernel Machines
Leon (Research Scientist) Bottou
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Practical Applications of Sparse Modeling
Irina Rish
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Learning Machine Translation
Cyril (Language Technology Research Centre) Goutte
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Dataset Shift in Machine Learning
Joaquin (Microsoft Research Ltd.) Quinonero-Candela
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Nearest-Neighbor Methods in Learning and Vision : Theory and Practice
Gregory Shakhnarovich
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Log-Linear Models, Extensions, and Applications
Aleksandr (Professor, University of Washington) Aravkin
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Advances in Minimum Description Length : Theory and Applications
Peter D. Grunwald
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Advanced Mean Field Methods : Theory and Practice
Manfred (TU Berlin) Opper
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Probabilistic Models of the Brain : Perception and Neural Function
Rajesh P.N. Rao
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Exploratory Analysis and Data Modeling in Functional Neuroimaging
Friedrich T. Sommer
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An Introduction to Lifted Probabilistic Inference
Guy Van den Broeck
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Probabilistic Models of the Brain : Perception and Neural Function
Rajesh P.N. (Associate Professor, University of Washington) Rao
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