Ted Sandler
Ted Sandler
Verified email at amazon.com
Title
Cited by
Cited by
Year
Regularized learning with networks of features
T Sandler, J Blitzer, P Talukdar, L Ungar
Advances in neural information processing systems 21, 1401-1408, 2008
592008
Automatic term list generation for entity tagging
T Sandler, AI Schein, LH Ungar
Bioinformatics 22 (6), 651-657, 2006
162006
Protein-protein interaction network alignment by quantitative simulation
P Evans, T Sandler, L Ungar
2008 IEEE International Conference on Bioinformatics and Biomedicine, 325-328, 2008
62008
Bayesian Counterfactual Risk Minimization
B London, T Sandler
Proceedings of the 36th International Conference on Machine Learning 97 …, 2019
52019
A predictive model for identifying mini-regulatory modules in the mouse genome
M Yaragatti, T Sandler, L Ungar
Bioinformatics 25 (3), 353-357, 2009
52009
Regularized learning with feature networks
ST Sandler
Ph. D. thesis, University of Pennsylvania, 2010
32010
Resolving identity uncertainty with learned random walks
T Sandler, LH Ungar, K Crammer
2009 Ninth IEEE International Conference on Data Mining, 457-465, 2009
22009
Multiway clustering for creating biomedical term sets
V Kandylas, L Ungar, T Sandler, S Jensen
2008 IEEE International Conference on Bioinformatics and Biomedicine, 449-452, 2008
22008
Bayesian example selection using BaBiES
AI Schein, ST Sandler, LH Ungar
Technical Reports (CIS), 10, 2004
22004
Bayesian Counterfactual Risk Minimization (Supplemental Material)
BLT Sandler
Automatic Term List Generation for Entity Tagging
TSAIS Lyle, H Ungar
DRASO: Declaratively Regularized Alternating Structural Optimization
PP Talukdar, T Sandler, M Dredze, K Crammer, J Blitzer, F Pereira
Learning with Locally Linear Feature Regularization
T Sandler, J Blitzer, L Ungar
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Articles 1–13