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 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
Advances in Cryptology—EUROCRYPT 2003: International Conference on the …, 2003
Doubly robust policy evaluation and learning
M Dudík, J Langford, L Li
arXiv preprint arXiv:1103.4601, 2011
Telling humans and computers apart automatically
L Von Ahn, M Blum, J Langford
Communications of the ACM 47 (2), 56-60, 2004
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
Approximately optimal approximate reinforcement learning
S Kakade, J Langford
Proceedings of the Nineteenth International Conference on Machine Learning …, 2002
A reductions approach to fair classification
A Agarwal, A Beygelzimer, M Dudík, J Langford, H Wallach
International conference on machine learning, 60-69, 2018
Cover trees for nearest neighbor
A Beygelzimer, S Kakade, J Langford
Proceedings of the 23rd international conference on Machine learning, 97-104, 2006
Cost-sensitive learning by cost-proportionate example weighting
B Zadrozny, J Langford, N Abe
Third IEEE international conference on data mining, 435-442, 2003
The epoch-greedy algorithm for multi-armed bandits with side information
J Langford, T Zhang
Advances in neural information processing systems 20, 2007
Search-based structured prediction
H Daumé, J Langford, D Marcu
Machine learning 75, 297-325, 2009
Deep batch active learning by diverse, uncertain gradient lower bounds
JT Ash, C Zhang, A Krishnamurthy, J Langford, A Agarwal
arXiv preprint arXiv:1906.03671, 2019
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
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
Agnostic active learning
MF Balcan, A Beygelzimer, J Langford
Proceedings of the 23rd international conference on Machine learning, 65-72, 2006
Taming the monster: A fast and simple algorithm for contextual bandits
A Agarwal, D Hsu, S Kale, J Langford, L Li, R Schapire
International Conference on Machine Learning, 1638-1646, 2014
Sparse Online Learning via Truncated Gradient.
J Langford, L Li, T Zhang
Journal of Machine Learning Research 10 (3), 2009
Multi-label prediction via compressed sensing
DJ Hsu, SM Kakade, J Langford, T Zhang
Advances in neural information processing systems 22, 2009
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