John Langford
John Langford
Microsoft Research New York
Verified email at - Homepage
TitleCited byYear
A global geometric framework for nonlinear dimensionality reduction
JB Tenenbaum, V De Silva, JC Langford
science 290 (5500), 2319-2323, 2000
CAPTCHA: Using hard AI problems for security
L Von Ahn, M Blum, NJ Hopper, J Langford
International Conference on the Theory and Applications of Cryptographic …, 2003
A contextual-bandit approach to personalized news article recommendation
L Li, W Chu, J Langford, RE Schapire
Proceedings of the 19th international conference on World wide web, 661-670, 2010
Telling humans and computers apart automatically
L Von Ahn, M Blum, J Langford
Communications of the ACM 47 (2), 56-60, 2004
Cover trees for nearest neighbor
A Beygelzimer, S Kakade, J Langford
Proceedings of the 23rd international conference on Machine learning, 97-104, 2006
Feature hashing for large scale multitask learning
K Weinberger, A Dasgupta, J Attenberg, J Langford, A Smola
arXiv preprint arXiv:0902.2206, 2009
Cost-Sensitive Learning by Cost-Proportionate Example Weighting.
B Zadrozny, J Langford, N Abe
ICDM 3, 435, 2003
Search-based structured prediction
H Daumé, J Langford, D Marcu
Machine learning 75 (3), 297-325, 2009
Sparse online learning via truncated gradient
J Langford, L Li, T Zhang
Journal of Machine Learning Research 10 (Mar), 777-801, 2009
Agnostic active learning
MF Balcan, A Beygelzimer, J Langford
Journal of Computer and System Sciences 75 (1), 78-89, 2009
Multi-label prediction via compressed sensing
DJ Hsu, SM Kakade, J Langford, T Zhang
Advances in neural information processing systems, 772-780, 2009
The epoch-greedy algorithm for multi-armed bandits with side information
J Langford, T Zhang
Advances in neural information processing systems, 817-824, 2008
Graph approximations to geodesics on embedded manifolds
M Bernstein, V De Silva, JC Langford, JB Tenenbaum
Technical report, Department of Psychology, Stanford University, 2000
Scaling up machine learning: Parallel and distributed approaches
R Bekkerman, M Bilenko, J Langford
Cambridge University Press, 2011
Unbiased offline evaluation of contextual-bandit-based news article recommendation algorithms
L Li, W Chu, J Langford, X Wang
Proceedings of the fourth ACM international conference on Web search and …, 2011
PAC model-free reinforcement learning
AL Strehl, L Li, E Wiewiora, J Langford, ML Littman
Proceedings of the 23rd international conference on Machine learning, 881-888, 2006
A reliable effective terascale linear learning system
A Agarwal, O Chapelle, M Dudík, J Langford
The Journal of Machine Learning Research 15 (1), 1111-1133, 2014
Tutorial on practical prediction theory for classification
J Langford
Journal of machine learning research 6 (Mar), 273-306, 2005
Importance weighted active learning
A Beygelzimer, S Dasgupta, J Langford
arXiv preprint arXiv:0812.4952, 2008
Outlier detection by active learning
N Abe, B Zadrozny, J Langford
Proceedings of the 12th ACM SIGKDD international conference on Knowledge …, 2006
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