Skip to Main Content (Press Enter)

Neural Information Processing series

Found in Science & Technology

Probabilistic Models of the Brain by edited by Rajesh P.N. Rao, Bruno A. Olshausen, and Michael S. Lewicki

Dataset Shift in Machine Learning by edited by Joaquin Quiñonero-Candela, Masashi Sugiyama, Anton Schwaighofer, and Neil D. Lawrence

Perturbations, Optimization, and Statistics by edited by Tamir Hazan, George Papandreou, and Daniel Tarlow

Neural Information Processing series (7 Titles)

Perturbations, Optimization, and Statistics

Perturbations, Optimization, and Statistics

Dataset Shift in Machine Learning

Dataset Shift in Machine Learning

An Introduction to Lifted Probabilistic Inference

An Introduction to Lifted Probabilistic Inference

Log-Linear Models, Extensions, and Applications

Log-Linear Models, Extensions, and Applications

Advanced Structured Prediction

Advanced Structured Prediction

Optimization for Machine Learning

Optimization for Machine Learning

Probabilistic Models of the Brain

Probabilistic Models of the Brain

Other Series You Might Like

Find other titles in

Back to Top

×