| Optimal learning WB Powell, IO Ryzhov John Wiley & Sons, 2012 | 364 | 2012 |
| The knowledge gradient algorithm for a general class of online learning problems IO Ryzhov, WB Powell, PI Frazier Operations Research 60 (1), 180-195, 2012 | 224 | 2012 |
| On the convergence rates of expected improvement methods IO Ryzhov Operations Research 64 (6), 1515-1528, 2016 | 101 | 2016 |
| Simulation optimization: a tutorial overview and recent developments in gradient-based methods M Chau, MC Fu, H Qu, IO Ryzhov Proceedings of the winter simulation conference 2014, 21-35, 2014 | 75 | 2014 |
| Cultivating disaster donors using data analytics IO Ryzhov, B Han, J Bradić Management Science 62 (3), 849-866, 2016 | 54 | 2016 |
| Information collection on a graph IO Ryzhov, WB Powell Operations Research 59 (1), 188-201, 2011 | 50 | 2011 |
| Simulation optimization: A panel on the state of the art in research and practice MC Fu, G Bayraksan, SG Henderson, BL Nelson, WB Powell, IO Ryzhov, ... Proceedings of the Winter Simulation Conference 2014, 3696-3706, 2014 | 38 | 2014 |
| The knowledge gradient algorithm for online subset selection IO Ryzhov, W Powell 2009 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement …, 2009 | 38 | 2009 |
| Sequential selection with unknown correlation structures H Qu, IO Ryzhov, MC Fu, Z Ding Operations Research 63 (4), 931-948, 2015 | 33 | 2015 |
| On the robustness of a one-period look-ahead policy in multi-armed bandit problems IO Ryzhov, PI Frazier, WB Powell Procedia Computer Science 1 (1), 1635-1644, 2010 | 33 | 2010 |
| Complete expected improvement converges to an optimal budget allocation Y Chen, IO Ryzhov Advances in Applied Probability 51 (1), 209-235, 2019 | 31 | 2019 |
| Evasive flow capture: A multi-period stochastic facility location problem with independent demand N Marković, IO Ryzhov, P Schonfeld European Journal of Operational Research 257 (2), 687-703, 2017 | 29 | 2017 |
| Evasive flow capture: Optimal location of weigh‐in‐motion systems, tollbooths, and security checkpoints N Marković, IO Ryzhov, P Schonfeld Networks 65 (1), 22-42, 2015 | 29 | 2015 |
| Ranking and selection with unknown correlation structures H Qu, IO Ryzhov, MC Fu Proceedings of the 2012 Winter Simulation Conference (WSC), 1-12, 2012 | 29 | 2012 |
| Personalized multimorbidity management for patients with type 2 diabetes using reinforcement learning of electronic health records H Zheng, IO Ryzhov, W Xie, J Zhong Drugs 81, 471-482, 2021 | 24 | 2021 |
| Optimal learning for urban delivery fleet allocation Y Huang, L Zhao, WB Powell, Y Tong, IO Ryzhov Transportation Science 53 (3), 623-641, 2019 | 22 | 2019 |
| Optimal learning in linear regression with combinatorial feature selection B Han, IO Ryzhov, B Defourny INFORMS Journal on Computing 28 (4), 721-735, 2016 | 21 | 2016 |
| Information collection for linear programs with uncertain objective coefficients IO Ryzhov, WB Powell SIAM Journal on Optimization 22 (4), 1344-1368, 2012 | 20 | 2012 |
| Approximate dynamic programming with correlated Bayesian beliefs IO Ryzhov, WB Powell 2010 48th Annual Allerton Conference on Communication, Control, and …, 2010 | 19 | 2010 |
| A Monte Carlo knowledge gradient method for learning abatement potential of emissions reduction technologies IO Ryzhov, W Powell Proceedings of the 2009 Winter Simulation Conference (WSC), 1492-1502, 2009 | 18 | 2009 |
Warrren B PowellPrinceton UniversityVerified email at princeton.edu
