| Streaming submodular maximization: Massive data summarization on the fly A Badanidiyuru, B Mirzasoleiman, A Karbasi, A Krause Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014 | 228 | 2014 |
| Distributed Submodular Maximization: Identifying Representative Elements in Massive Data. B Mirzasoleiman, A Karbasi, R Sarkar, A Krause NIPS, 2049-2057, 2013 | 218 | 2013 |
| Lazier Than Lazy Greedy B Mirzasoleiman, A Badanidiyuru, A Karbasi, J Vondrák, A Krause arXiv preprint arXiv:1409.7938, 2015 | 216 | 2015 |
| Graph-constrained group testing M Cheraghchi, A Karbasi, S Mohajer, V Saligrama IEEE Transactions on Information Theory 58 (1), 248-262, 2012 | 107 | 2012 |
| Graph-constrained group testing M Cheraghchi, A Karbasi, S Mohajer, V Saligrama Information Theory Proceedings (ISIT), 2010 IEEE International Symposium on …, 2010 | 107 | 2010 |
| Near-optimally teaching the crowd to classify A Singla, I Bogunovic, G Bartók, A Karbasi, A Krause International Conference on Machine Learning, 154-162, 2014 | 97 | 2014 |
| Fast constrained submodular maximization: Personalized data summarization B Mirzasoleiman, A Badanidiyuru, A Karbasi International Conference on Machine Learning, 1358-1367, 2016 | 83 | 2016 |
| Streaming weak submodularity: Interpreting neural networks on the fly ER Elenberg, AG Dimakis, M Feldman, A Karbasi arXiv preprint arXiv:1703.02647, 2017 | 68 | 2017 |
| Gradient methods for submodular maximization H Hassani, M Soltanolkotabi, A Karbasi arXiv preprint arXiv:1708.03949, 2017 | 66 | 2017 |
| Sensor network localization from local connectivity: Performance analysis for the mds-map algorithm S Oh, A Montanari, A Karbasi 2010 IEEE Information Theory Workshop on Information Theory (ITW 2010, Cairo …, 2010 | 56 | 2010 |
| Near optimal bayesian active learning for decision making S Javdani, Y Chen, A Karbasi, A Krause, D Bagnell, S Srinivasa Artificial Intelligence and Statistics, 430-438, 2014 | 55 | 2014 |
| Group testing with probabilistic tests: Theory, design and application M Cheraghchi, A Hormati, A Karbasi, M Vetterli IEEE Transactions on Information Theory 57 (10), 7057-7067, 2011 | 55 | 2011 |
| Greed is good: Near-optimal submodular maximization via greedy optimization M Feldman, C Harshaw, A Karbasi Conference on Learning Theory, 758-784, 2017 | 54 | 2017 |
| Distributed submodular maximization B Mirzasoleiman, A Karbasi, R Sarkar, A Krause The Journal of Machine Learning Research 17 (1), 8330-8373, 2016 | 51 | 2016 |
| A new DOA estimation method using a circular microphone array A Karbasi, A Sugiyama 2007 15th European Signal Processing Conference, 778-782, 2007 | 48 | 2007 |
| Stochastic conditional gradient methods: From convex minimization to submodular maximization A Mokhtari, H Hassani, A Karbasi Journal of Machine Learning Research 21 (105), 1-49, 2020 | 45 | 2020 |
| Online continuous submodular maximization L Chen, H Hassani, A Karbasi International Conference on Artificial Intelligence and Statistics, 1896-1905, 2018 | 41 | 2018 |
| Distributed Submodular Cover: Succinctly Summarizing Massive Data. B Mirzasoleiman, A Karbasi, A Badanidiyuru, A Krause NIPS, 2881-2889, 2015 | 41 | 2015 |
| Conditional gradient method for stochastic submodular maximization: Closing the gap A Mokhtari, H Hassani, A Karbasi International Conference on Artificial Intelligence and Statistics, 1886-1895, 2018 | 40 | 2018 |
| Submodular surrogates for value of information Y Chen, S Javdani, A Karbasi, J Bagnell, S Srinivasa, A Krause Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015 | 40 | 2015 |
Andreas KrauseProfessor of Computer Science, ETH ZurichVerified email at inf.ethz.ch
