A reductions approach to fair classification A Agarwal, A Beygelzimer, M Dudík, J Langford, H Wallach International conference on machine learning, 60-69, 2018 | 1344 | 2018 |
Cover trees for nearest neighbor A Beygelzimer, S Kakade, J Langford Proceedings of the 23rd international conference on Machine learning, 97-104, 2006 | 1179 | 2006 |
Agnostic active learning MF Balcan, A Beygelzimer, J Langford Proceedings of the 23rd international conference on Machine learning, 65-72, 2006 | 650 | 2006 |
Improving reproducibility in machine learning research (a report from the neurips 2019 reproducibility program) J Pineau, P Vincent-Lamarre, K Sinha, V Larivière, A Beygelzimer, ... Journal of machine learning research 22 (164), 1-20, 2021 | 453 | 2021 |
Curran Associates H Wallach, H Larochelle, A Beygelzimer, F d’Alché-Buc, E Fox, R Garnett Inc.: Red Hook, NY, USA 32, 8024-8035, 2019 | 451 | 2019 |
Importance weighted active learning A Beygelzimer, S Dasgupta, J Langford Proceedings of the 26th annual international conference on machine learning …, 2009 | 444 | 2009 |
Contextual bandit algorithms with supervised learning guarantees A Beygelzimer, J Langford, L Li, L Reyzin, R Schapire Proceedings of the Fourteenth International Conference on Artificial …, 2011 | 382 | 2011 |
Improving network robustness by edge modification A Beygelzimer, G Grinstein, R Linsker, I Rish Physica A: Statistical Mechanics and its Applications 357 (3-4), 593-612, 2005 | 276 | 2005 |
Adaptive diagnosis in distributed systems I Rish, M Brodie, S Ma, N Odintsova, A Beygelzimer, G Grabarnik, ... IEEE Transactions on neural networks 16 (5), 1088-1109, 2005 | 245 | 2005 |
The offset tree for learning with partial labels A Beygelzimer, J Langford Proceedings of the 15th ACM SIGKDD international conference on Knowledge …, 2009 | 231 | 2009 |
Agnostic active learning without constraints A Beygelzimer, DJ Hsu, J Langford, T Zhang Advances in neural information processing systems 23, 2010 | 211 | 2010 |
FNN: fast nearest neighbor search algorithms and applications A Beygelzimer, S Kakadet, J Langford, S Arya, D Mount, S Li R package version 1 (1), 1-17, 2013 | 203 | 2013 |
Error-correcting tournaments A Beygelzimer, J Langford, P Ravikumar International Conference on Algorithmic Learning Theory, 247-262, 2009 | 107 | 2009 |
Error limiting reductions between classification tasks A Beygelzimer, V Dani, T Hayes, J Langford, B Zadrozny Proceedings of the 22nd international conference on Machine learning, 49-56, 2005 | 107 | 2005 |
Advances in neural information processing systems BK Miller, A Cole, P Forré, G Louppe, C Weniger, M Ranzato, ... Bengio Y, Schuurmans D, Lafferty J, Williams CK I, editors. Sequential …, 2009 | 106 | 2009 |
Conditional probability tree estimation analysis and algorithms A Beygelzimer, J Langford, Y Lifshits, G Sorkin, AL Strehl arXiv preprint arXiv:1408.2031, 2014 | 104 | 2014 |
Sensitive error correcting output codes J Langford, A Beygelzimer Learning Theory: 18th Annual Conference on Learning Theory, COLT 2005 …, 2005 | 100 | 2005 |
Optimal and adaptive algorithms for online boosting A Beygelzimer, S Kale, H Luo International Conference on Machine Learning, 2323-2331, 2015 | 97 | 2015 |
System and methods for using continuous optimization for ordering categorical data sets A Beygelzimer, C Perng, S Ma, JL Hellerstein US Patent 6,615,211, 2003 | 94 | 2003 |
System and method for obtaining network link state information from sequential distance vector routing tables D Agrawal, A Beygelzimer, BJ Ko, M Srivatsa US Patent 7,961,642, 2011 | 93 | 2011 |