| A global geometric framework for nonlinear dimensionality reduction JB Tenenbaum, V De Silva, JC Langford science 290 (5500), 2319-2323, 2000 | 13997 | 2000 |
| Principal manifolds and nonlinear dimensionality reduction via tangent space alignment Z Zhang, H Zha SIAM journal on scientific computing 26 (1), 313-338, 2004 | 2087 | 2004 |
| 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 | 1826 | 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 | 1773 | 2010 |
| Telling humans and computers apart automatically L Von Ahn, M Blum, J Langford Communications of the ACM 47 (2), 56-60, 2004 | 1081 | 2004 |
| Cover trees for nearest neighbor A Beygelzimer, S Kakade, J Langford Proceedings of the 23rd international conference on Machine learning, 97-104, 2006 | 883 | 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 | 843 | 2009 |
| The isomap algorithm and topological stability M Balasubramanian, EL Schwartz, JB Tenenbaum, V de Silva, ... Science 295 (5552), 7-7, 2002 | 789 | 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 | 702 | 2003 |
| Search-based structured prediction H Daumé, J Langford, D Marcu Machine learning 75 (3), 297-325, 2009 | 572 | 2009 |
| Sparse Online Learning via Truncated Gradient. J Langford, L Li, T Zhang Journal of Machine Learning Research 10 (3), 2009 | 502 | 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 | 499 | 2008 |
| Agnostic active learning MF Balcan, A Beygelzimer, J Langford Journal of Computer and System Sciences 75 (1), 78-89, 2009 | 496 | 2009 |
| Approximately optimal approximate reinforcement learning S Kakade, J Langford ICML 2, 267-274, 2002 | 492 | 2002 |
| Perspective transformer nets: Learning single-view 3d object reconstruction without 3d supervision X Yan, J Yang, E Yumer, Y Guo, H Lee Advances in neural information processing systems, 1696-1704, 2016 | 464* | 2016 |
| Multi-label prediction via compressed sensing DJ Hsu, SM Kakade, J Langford, T Zhang Advances in neural information processing systems 22, 772-780, 2009 | 454 | 2009 |
| Scaling up machine learning: Parallel and distributed approaches R Bekkerman, M Bilenko, J Langford Cambridge University Press, 2011 | 445 | 2011 |
| Doubly robust policy evaluation and learning M Dudík, J Langford, L Li arXiv preprint arXiv:1103.4601, 2011 | 436* | 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 | 436 | 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 | 422 | 2006 |
