| Resource management with deep reinforcement learning H Mao, M Alizadeh, I Menache, S Kandula Proceedings of the 15th ACM workshop on hot topics in networks, 50-56, 2016 | 560 | 2016 |
| Q-cut—dynamic discovery of sub-goals in reinforcement learning I Menache, S Mannor, N Shimkin European Conference on Machine Learning, 295-306, 2002 | 279 | 2002 |
| Dynamic abstraction in reinforcement learning via clustering S Mannor, I Menache, A Hoze, U Klein Proceedings of the twenty-first international conference on Machine learning, 71, 2004 | 260 | 2004 |
| Surviving failures in bandwidth-constrained datacenters P Bodík, I Menache, M Chowdhury, P Mani, DA Maltz, I Stoica ACM SIGCOMM Computer Communication Review 42 (4), 431-442, 2012 | 229 | 2012 |
| Basis function adaptation in temporal difference reinforcement learning I Menache, S Mannor, N Shimkin Annals of Operations Research 134 (1), 215-238, 2005 | 217 | 2005 |
| Morpheus: Towards automated slos for enterprise clusters SA Jyothi, C Curino, I Menache, SM Narayanamurthy, A Tumanov, ... 12th {USENIX} Symposium on Operating Systems Design and Implementation …, 2016 | 187 | 2016 |
| Resource management for cloud computing platforms N Jain, I Menache US Patent App. 13/169,923, 2011 | 178* | 2011 |
| Network-aware scheduling for data-parallel jobs: Plan when you can V Jalaparti, P Bodik, I Menache, S Rao, K Makarychev, M Caesar ACM SIGCOMM Computer Communication Review 45 (4), 407-420, 2015 | 171 | 2015 |
| Speeding up Distributed Request-Response Workflows V Jalaparti, P Bodik, S Kandula, I Menache, M Rybalkin, C Yan Sigcomm, 2013 | 150 | 2013 |
| Calendaring for wide area networks S Kandula, I Menache, R Schwartz, SR Babbula Proceedings of the 2014 ACM conference on SIGCOMM, 515-526, 2014 | 124 | 2014 |
| Online job-migration for reducing the electricity bill in the cloud N Buchbinder, N Jain, I Menache International Conference on Research in Networking, 172-185, 2011 | 119 | 2011 |
| Flows and decompositions of games: Harmonic and potential games O Candogan, I Menache, A Ozdaglar, PA Parrilo Mathematics of Operations Research 36 (3), 474-503, 2011 | 118 | 2011 |
| Network games: Theory, models, and dynamics I Menache, A Ozdaglar Synthesis Lectures on Communication Networks 4 (1), 1-159, 2011 | 117 | 2011 |
| Near-optimal scheduling mechanisms for deadline-sensitive jobs in large computing clusters N Jain, I Menache, J Naor, J Yaniv ACM Transactions on Parallel Computing (TOPC) 2 (1), 1-29, 2015 | 99 | 2015 |
| A truthful mechanism for value-based scheduling in cloud computing N Jain, I Menache, JS Naor, J Yaniv Theory of Computing Systems 54 (3), 388-406, 2014 | 89 | 2014 |
| On-demand, spot, or both: Dynamic resource allocation for executing batch jobs in the cloud I Menache, O Shamir, N Jain 11th International Conference on Autonomic Computing ({ICAC} 14), 177-187, 2014 | 82 | 2014 |
| Near-optimal power control in wireless networks: a potential game approach UO Candogan, I Menache, A Ozdaglar, PA Parrilo INFOCOM, 2010 Proceedings IEEE, 1-9, 2010 | 78 | 2010 |
| Dynamic pricing and traffic engineering for timely inter-datacenter transfers V Jalaparti, I Bliznets, S Kandula, B Lucier, I Menache Proceedings of the 2016 ACM SIGCOMM Conference, 73-86, 2016 | 77 | 2016 |
| Co-location-resistant clouds Y Azar, S Kamara, I Menache, M Raykova, B Shepard Proceedings of the 6th Edition of the ACM Workshop on Cloud Computing …, 2014 | 75 | 2014 |
| Non-Cooperative Spectrum Access—The Dedicated vs. Free Spectrum Choice K Jagannathan, I Menache, E Modiano, G Zussman Selected Areas in Communications, IEEE Journal on 30 (11), 2251-2261, 2012 | 72 | 2012 |
Navendu JainMicrosoft ResearchVerified email at microsoft.com
