| On the Foundations of Noise-free Selective Classification. R El-Yaniv Journal of Machine Learning Research 11 (5), 2010 | 336 | 2010 |
| Agnostic selective classification Y Wiener, R El-Yaniv Advances in neural information processing systems 24, 2011 | 80 | 2011 |
| Active Learning via Perfect Selective Classification. R El-Yaniv, Y Wiener Journal of Machine Learning Research 13 (2), 2012 | 66 | 2012 |
| Agnostic pointwise-competitive selective classification Y Wiener, R El-Yaniv Journal of Artificial Intelligence Research 52, 171-201, 2015 | 33 | 2015 |
| Pointwise tracking the optimal regression function Y Wiener, R El-Yaniv Advances in Neural Information Processing Systems 25, 2012 | 27 | 2012 |
| A compression technique for analyzing disagreement-based active learning. Y Wiener, S Hanneke, R El-Yaniv J. Mach. Learn. Res. 16, 713-745, 2015 | 20 | 2015 |
| Theoretical Foundations of Selective Prediction Y Wiener Technion - Israel Institute of Technology, 2013 | 13 | 2013 |
| Trend: A dynamic bandwidth estimation and adaptation algorithm for real-time video calling T Barzuza, SB Zedeff, O Modai, L Vainbrand, Y Wiener, E Yellin 2010 18th International Packet Video Workshop, 126-133, 2010 | 8 | 2010 |
| The Prediction Advantage: A Universally Meaningful Performance Measure for Classification and Regression R El-Yaniv, Y Geifman, Y Wiener arXiv preprint arXiv:1705.08499, 2017 | 3 | 2017 |
| On the version space compression set size and its applications R El-Yaniv, Y Wiener Measures of Complexity: Festschrift for Alexey Chervonenkis, 341-357, 2015 | 3 | 2015 |
| A bucket-interleaving multiplexer for efficient near-on-demand streaming to resource-constrained clients Y Birk, Y Wiener Proceedings. IEEE International Conference on Multimedia and Expo 1, 389-392, 2002 | 2 | 2002 |
