Adaptive Regularization of Weight Vectors (2009)

by Koby Crammer , Alex Kulesza , Mark Dredze
Venue:Advances in Neural Information Processing Systems 22
Citations:13 - 6 self

Active Bibliography

Graduate Group ChairpersonCOPYRIGHT – Mark Harel Dredze, Fernando Pereira, Rajeev Alur, Mark Harel Dredze, Helen Marlene, Berkovitz Dredze, Ph. D - 2009
12 Exact convex confidence-weighted learning – Koby Crammer, Mark Dredze Fern, O Pereira - 2008
2 Maximum Relative Margin and Data-Dependent regularization – Pannagadatta K. Shivaswamy, Tony Jebara
Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence Active Online Classification via Information Maximization – Noam Slonim, Elad Yom-tov, Koby Crammer
31 Confidence-weighted linear classification – Mark Dredze, Koby Crammer - 2008
1 Structured prediction with relative margin – Pannagadatta Shivaswamy, Tony Jebara
Virtual Vector Machine for Bayesian Online Classification – Thomas P. Minka, Rongjing Xiang, Yuan (alan Qi
1 New Adaptive Algorithms for Online Classification – Francesco Orabona, Koby Crammer
Confidence Weighted Mean Reversion Strategy for On-Line Portfolio Selection – Bin Li, Steven C. H. Hoi, Peilin Zhao
17 Identifying Suspicious URLs: An Application of Large-Scale Online Learning – Justin Ma, Lawrence K. Saul, Stefan Savage, Geoffrey M. Voelker - 2009
2 Learning to Detect Malicious URLs – Justin Ma, Lawrence K. Saul, Stefan Savage, Geoffrey M. Voelker - 2011
Adaptive Subgradient Methods Adaptive Subgradient Methods for Online Learning and Stochastic Optimization – John Duchi, Elad Hazan, Yoram Singer
Exploiting Feature Covariance in High-Dimensional Online Learning – Justin Ma, Alex Kulesza, Mark Dredze, Koby Crammer, Lawrence K. Saul, Fernando Pereira
Large-Scale Semi-Supervised Learning for Natural Language Processing – Shane Bergsma - 2010
12 Adaptive Subgradient Methods for Online Learning and Stochastic Optimization – John Duchi, Elad Hazan, Yoram Singer - 2010
2 Phishdef: Url names say it all – Anh Le, Athina Markopoulou, Michalis Faloutsos
NLP on Spoken Documents without ASR – Mark Dredze, Aren Jansen, Ken Church
Using the Mutual k-Nearest Neighbor Graphs for Semi-supervised Classification of Natural Language Data – Kohei Ozaki, Masashi Shimbo, Mamoru Komachi, Yuji Matsumoto
9 A Primal-Dual Perspective of Online Learning Algorithms – Shai Shalev-Shwartz, Yoram Singer