John Langford
John Langford
Microsoft Research New York
Verified email at - Homepage
Cited by
Cited by
A global geometric framework for nonlinear dimensionality reduction
JB Tenenbaum, V De Silva, JC Langford
science 290 (5500), 2319-2323, 2000
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
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
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 Langford, A Smola, J Attenberg
Proceedings of the 26th annual international conference on machine learning …, 2009
The isomap algorithm and topological stability
M Balasubramanian, EL Schwartz, JB Tenenbaum, V de Silva, ...
Science 295 (5552), 7-7, 2002
Cost-sensitive learning by cost-proportionate example weighting
B Zadrozny, J Langford, N Abe
Third IEEE international conference on data mining, 435-442, 2003
Approximately optimal approximate reinforcement learning
S Kakade, J Langford
In Proc. 19th International Conference on Machine Learning, 2002
Search-based structured prediction
H Daumé, J Langford, D Marcu
Machine learning 75 (3), 297-325, 2009
Epoch-Greedy algorithm for multi-armed bandits with side information
J Langford, T Zhang
Advances in Neural Information Processing Systems (NIPS 2007) 20, 1, 2007
Doubly robust policy evaluation and learning
M Dudík, J Langford, L Li
arXiv preprint arXiv:1103.4601, 2011
Agnostic active learning
MF Balcan, A Beygelzimer, J Langford
Journal of Computer and System Sciences 75 (1), 78-89, 2009
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
Scaling up machine learning: Parallel and distributed approaches
R Bekkerman, M Bilenko, J Langford
Cambridge University Press, 2011
Multi-label prediction via compressed sensing
D Hsu, SM Kakade, J Langford, T Zhang
arXiv preprint arXiv:0902.1284, 2009
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 reductions approach to fair classification
A Agarwal, A Beygelzimer, M Dudík, J Langford, H Wallach
International Conference on Machine Learning, 60-69, 2018
Sparse Online Learning via Truncated Gradient.
J Langford, L Li, T Zhang
Journal of Machine Learning Research 10 (3), 2009
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
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