Dredze, Mark

15 publications

TMLR 2025 Can Optimization Trajectories Explain Multi-Task Transfer? David Mueller, Mark Dredze, Nicholas Andrews

CHIL 2022 Enriching Unsupervised User Embedding via Medical Concepts Xiaolei Huang, Franck Dernoncourt, Mark Dredze

NeurIPSW 2022 The Importance of Temperature in Multi-Task Optimization David Mueller, Mark Dredze, Nicholas Andrews

AAAI 2016 Collective Supervision of Topic Models for Predicting Surveys with Social Media Adrian Benton, Michael J. Paul, Braden Hancock, Mark Dredze

MLJ 2013 Adaptive Regularization of Weight Vectors Koby Crammer, Alex Kulesza, Mark Dredze

JMLR 2012 Confidence-Weighted Linear Classification for Text Categorization Koby Crammer, Mark Dredze, Fernando Pereira

NeurIPS 2012 Factorial LDA: Sparse Multi-Dimensional Text Models Michael Paul, Mark Dredze

AISTATS 2010 Exploiting Feature Covariance in High-Dimensional Online Learning Justin Ma, Alex Kulesza, Mark Dredze, Koby Crammer, Lawrence Saul, Fernando Pereira

MLJ 2010 Multi-Domain Learning by Confidence-Weighted Parameter Combination Mark Dredze, Alex Kulesza, Koby Crammer

NeurIPS 2009 Adaptive Regularization of Weight Vectors Koby Crammer, Alex Kulesza, Mark Dredze

IJCAI 2009 Suggesting Email View Filters for Triage and Search Mark Dredze, Bill N. Schilit, Peter Norvig

ICML 2008 Confidence-Weighted Linear Classification Mark Dredze, Koby Crammer, Fernando Pereira

NeurIPS 2008 Exact Convex Confidence-Weighted Learning Koby Crammer, Mark Dredze, Fernando Pereira

AAAI 2008 Intelligent Email: Aiding Users with AI Mark Dredze, Hanna M. Wallach, Danny Puller, Tova Brooks, Josh Carroll, Joshua Magarick, John Blitzer, Fernando Pereira

AAAI 2006 Activity-Centric Email: A Machine Learning Approach Nicholas Kushmerick, Tessa A. Lau, Mark Dredze, Rinat Khoussainov