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All publications by David Tax
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Making a Science of Model Search: Hyperparameter Optimization in Hundreds of Dimensions for Vision Architectures
Daniel Yamins, David Tax and James S. Bergstra
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Semi-Supervised Collective Classification via Hybrid Label Regularization
Luke Mcdowell and David Tax
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Improved Algorithms for Linear Stochastic Bandits
Yasin Abbasi-yadkori, Csaba Szepesvári and David Tax
Advances in Neural Information Processing Systems 24, 2011


Estimation of Renyi Entropy and Mutual Information Based on Generalized Nearest-Neighbor Graphs
Barnabás Póczos, Csaba Szepesvári and David Tax
Advances in Neural Information Processing Systems 23, 2010


Feature Selection Methods for Improving Protein Structure Prediction with Rosetta
Ben Blum, Rhiju Das, Philip Bradley, David Baker, Michael I. Jordan and David Tax
Advances in Neural Information Processing Systems 20, 2007


Recursive Attribute Factoring
Deepak Verma, Karl Pfleger and David Tax
Advances in Neural Information Processing Systems 19, 2006


Message passing for task redistribution on sparse graphs
K. Wong, Zhuo Gao and David Tax
Advances in Neural Information Processing Systems 18, 2005


Informed Projections
David Tax
Advances in Neural Information Processing Systems 15, 2002


One-Class LP Classifiers for Dissimilarity Representations
Elzbieta Pekalska, David Tax and Robert Duin
Advances in Neural Information Processing Systems 15, 2002


Uniform Object Generation for Optimizing One-class Classifiers
David Tax and Robert Duin
Journal of Machine Learning Research, 2001