| Exploring connections between active learning and model extraction V Chandrasekaran, K Chaudhuri, I Giacomelli, S Jha, S Yan 29th USENIX Security Symposium (USENIX Security 20), 1309-1326, 2020 | 159 | 2020 |
| Active learning from imperfect labelers S Yan, K Chaudhuri, T Javidi Advances in neural information processing systems 29, 2016 | 60 | 2016 |
| Revisiting perceptron: Efficient and label-optimal learning of halfspaces S Yan, C Zhang Advances in Neural Information Processing Systems 30, 2017 | 55 | 2017 |
| Active learning with logged data S Yan, K Chaudhuri, T Javidi International Conference on Machine Learning, 5521-5530, 2018 | 29 | 2018 |
| Learning a generative classifier from label proportions K Fan, H Zhang, S Yan, L Wang, W Zhang, J Feng Neurocomputing 139, 47-55, 2014 | 27 | 2014 |
| Active learning from noisy and abstention feedback S Yan, K Chaudhuri, T Javidi 2015 53rd Annual Allerton Conference on Communication, Control, and …, 2015 | 16 | 2015 |
| The label complexity of active learning from observational data S Yan, K Chaudhuri, T Javidi Advances in Neural Information Processing Systems 32, 2019 | 11 | 2019 |
| Passive and active ranking from pairwise comparisons S Yan Technical report, University of California, San Diego, 2016 | 1 | 2016 |
| Algorithms for Query-Efficient Active Learning S Yan University of California, San Diego, 2019 | | 2019 |
