| Cost-effective outbreak detection in networks J Leskovec, A Krause, C Guestrin, C Faloutsos, J VanBriesen, N Glance Proceedings of the 13th ACM SIGKDD international conference on Knowledge …, 2007 | 2653 | 2007 |
| Gaussian process optimization in the bandit setting: No regret and experimental design N Srinivas, A Krause, SM Kakade, M Seeger arXiv preprint arXiv:0912.3995, 2009 | 1798 | 2009 |
| Near-optimal sensor placements in Gaussian processes: Theory, efficient algorithms and empirical studies. A Krause, A Singh, C Guestrin Journal of Machine Learning Research 9 (2), 2008 | 1647 | 2008 |
| Inferring networks of diffusion and influence M Gomez-Rodriguez, J Leskovec, A Krause ACM Transactions on Knowledge Discovery from Data (TKDD) 5 (4), 21, 2012 | 1439 | 2012 |
| Inferring networks of diffusion and influence M Gomez-Rodriguez, J Leskovec, A Krause ACM Transactions on Knowledge Discovery from Data (TKDD) 5 (4), 1-37, 2012 | 1439 | 2012 |
| Inferring networks of diffusion and influence M Gomez Rodriguez, J Leskovec, A Krause Proceedings of the 16th ACM SIGKDD international conference on Knowledge …, 2010 | 1439 | 2010 |
| Submodular function maximization. A Krause, D Golovin Tractability 3, 71-104, 2014 | 799 | 2014 |
| Information-theoretic regret bounds for gaussian process optimization in the bandit setting N Srinivas, A Krause, SM Kakade, MW Seeger IEEE transactions on information theory 58 (5), 3250-3265, 2012 | 621 | 2012 |
| Safe model-based reinforcement learning with stability guarantees F Berkenkamp, M Turchetta, A Schoellig, A Krause Advances in neural information processing systems 30, 2017 | 599 | 2017 |
| The battle of the water sensor networks (BWSN): A design challenge for engineers and algorithms A Ostfeld, JG Uber, E Salomons, JW Berry, WE Hart, CA Phillips, ... Journal of water resources planning and management 134 (6), 556-568, 2008 | 595 | 2008 |
| Adaptive submodularity: Theory and applications in active learning and stochastic optimization D Golovin, A Krause Journal of Artificial Intelligence Research 42 (1), 427-486, 2011 | 577 | 2011 |
| Near-optimal sensor placements: Maximizing information while minimizing communication cost A Krause, C Guestrin, A Gupta, J Kleinberg Proceedings of the 5th international conference on Information processing in …, 2006 | 566 | 2006 |
| Near-optimal sensor placements in gaussian processes C Guestrin, A Krause, AP Singh Proceedings of the 22nd international conference on Machine learning, 265-272, 2005 | 540 | 2005 |
| SenSay: A Context-Aware Mobile Phone. DP Siewiorek, A Smailagic, J Furukawa, A Krause, N Moraveji, K Reiger, ... ISWC 3, 248, 2003 | 532 | 2003 |
| Near-optimal nonmyopic value of information in graphical models A Krause, CE Guestrin arXiv preprint arXiv:1207.1394, 2012 | 499 | 2012 |
| Unfreezing the robot: Navigation in dense, interacting crowds P Trautman, A Krause 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2010 | 495 | 2010 |
| Efficient sensor placement optimization for securing large water distribution networks A Krause, J Leskovec, C Guestrin, J VanBriesen, C Faloutsos Journal of Water Resources Planning and Management 134 (6), 516-526, 2008 | 442 | 2008 |
| Predicting program properties from" big code" V Raychev, M Vechev, A Krause ACM SIGPLAN Notices 50 (1), 111-124, 2015 | 391 | 2015 |
| Parallelizing exploration-exploitation tradeoffs in gaussian process bandit optimization T Desautels, A Krause, JW Burdick Journal of Machine Learning Research 15, 3873-3923, 2014 | 368 | 2014 |
| A tutorial on Gaussian process regression: Modelling, exploring, and exploiting functions E Schulz, M Speekenbrink, A Krause Journal of Mathematical Psychology 85, 1-16, 2018 | 366 | 2018 |
Carlos GuestrinProfessor, Stanford UniversityVerified email at stanford.edu
