| 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 (Feb), 235-284, 2008 | 2005 | 2008 |
| Relational learning via collective matrix factorization AP Singh, GJ Gordon Proceedings of the 14th ACM SIGKDD international conference on Knowledge …, 2008 | 1478 | 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 | 608 | 2005 |
| 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 | 608 | 2005 |
| Patterns of influence in a recommendation network J Leskovec, A Singh, J Kleinberg Pacific-Asia Conference on Knowledge Discovery and Data Mining, 380-389, 2006 | 468 | 2006 |
| A unified view of matrix factorization models AP Singh, GJ Gordon Joint European Conference on Machine Learning and Knowledge Discovery in …, 2008 | 257 | 2008 |
| Finding optimal Bayesian networks by dynamic programming AP Singh, AW Moore Carnegie Mellon University. Center for Automated Learning and Discovery, 2005 | 191 | 2005 |
| Automatic ad format selection via contextual bandits L Tang, R Rosales, A Singh, D Agarwal Proceedings of the 22nd ACM international conference on Conference on …, 2013 | 164 | 2013 |
| Abstract task specifications for conversation policies R Elio, A Haddadi, A Singh Proceedings of the fourth international conference on Autonomous agents, 229-230, 2000 | 141 | 2000 |
| On Bisubmodular Maximization AP Singh, A Guillory, J Bilmes 19th International Conference on Artificial Intelligence and Statistics …, 2012 | 74 | 2012 |
| A Bayesian matrix factorization model for relational data AP Singh, GJ Gordon Proceedings of the Annual Conference on Uncertainty in Artificial …, 2010 | 63 | 2010 |
| Activity ranking in LinkedIn feed D Agarwal, BC Chen, R Gupta, J Hartman, Q He, A Iyer, S Kolar, Y Ma, ... Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014 | 62 | 2014 |
| Learning sparse models for a dynamic Bayesian network classifier of protein secondary structure Z Aydin, A Singh, J Bilmes, W Noble BMC bioinformatics 12 (1), 154, 2011 | 56 | 2011 |
| Quantifying the uncertainty of a belief net response: Bayesian error-bars for belief net inference T Van Allen, A Singh, R Greiner, P Hooper Artificial Intelligence 172 (4-5), 483-513, 2008 | 40 | 2008 |
| Training random walks over absorbing graphs AJ Gunawardana, CA Meek, AP Singh US Patent 7,778,945, 2010 | 35 | 2010 |
| Recommendations using absorbing random walks AP Singh, A Gunawardana, C Meek, AC Surendran North East Student Colloquium on Artificial Intelligence (NESCAI), 2007 | 24 | 2007 |
| Task models, intentions, and agent conversation policies R Elio, A Haddadi, A Singh Pacific Rim International Conference on Artificial Intelligence, 394-403, 2000 | 20 | 2000 |
| Efficient Matrix Models for Relational Learning AP Singh CARNEGIE-MELLON UNIV PITTSBURGH PA MACHINE LEARNING DEPT, 2009 | 11 | 2009 |
| Discovery of network based data sources for ingestion and recommendations NI Lytkin, AP Singh, N Avteniev, E Leshem, B Duncan, KH Chellapilla US Patent 10,496,716, 2019 | 9 | 2019 |
| Personalized query formulation for improving searches R Zhou, AP Singh, X Wu, AR Nair, L Xuan, K Chuang, B Singh, D Teng US Patent App. 15/990,145, 2019 | 9 | 2019 |
Andreas KrauseProfessor of Computer Science, ETH ZurichVerified email at inf.ethz.ch
