| 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 | 3225 | 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 | 2896 | 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 | 2062 | 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 | 1618 | 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 | 1618 | 2010 |
| 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 | 1442 | 2018 |
| Submodular function maximization. A Krause, D Golovin Tractability 3 (71-104), 3, 2014 | 1128 | 2014 |
| Safe model-based reinforcement learning with stability guarantees F Berkenkamp, M Turchetta, A Schoellig, A Krause Advances in neural information processing systems 30, 2017 | 1080 | 2017 |
| 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 | 1079 | 2012 |
| 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 | 836 | 2011 |
| Unfreezing the robot: Navigation in dense, interacting crowds P Trautman, A Krause 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2010 | 805 | 2010 |
| 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 | 703 | 2008 |
| 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 | 614 | 2005 |
| 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 | 612 | 2006 |
| Near-optimal nonmyopic value of information in graphical models A Krause, CE Guestrin arXiv preprint arXiv:1207.1394, 2012 | 563 | 2012 |
| SenSay: A Context-Aware Mobile Phone. DP Siewiorek, A Smailagic, J Furukawa, A Krause, N Moraveji, K Reiger, ... ISWC 3, 248, 2003 | 548 | 2003 |
| Learning-based model predictive control for safe exploration T Koller, F Berkenkamp, M Turchetta, A Krause 2018 IEEE conference on decision and control (CDC), 6059-6066, 2018 | 525 | 2018 |
| 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 | 516 | 2008 |
| Contextual gaussian process bandit optimization A Krause, C Ong Advances in neural information processing systems 24, 2011 | 510 | 2011 |
| Predicting program properties from" big code" V Raychev, M Vechev, A Krause ACM SIGPLAN Notices 50 (1), 111-124, 2015 | 503 | 2015 |
Carlos GuestrinProfessor, Stanford UniversityVerified email at stanford.edu
