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ORCIDIlya O. Ryzhov
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2020 – today
- 2025
[i4]Hua Zheng, Wei Xie, Ilya O. Ryzhov, Keilung Choy:
Digital Twin Calibration with Model-Based Reinforcement Learning. CoRR abs/2501.02205 (2025)- 2024
- [j26]Yinhu Wang, Ye Chen, Ilya O. Ryzhov
, Xiaoyue Cathy Liu, Nikola Markovic:
Improving Snowplowing Operations in Utah Through Optimization and Visualization. INFORMS J. Appl. Anal. 54(6): 471-486 (2024) - [j25]Yi Zhou, Michael C. Fu, Ilya O. Ryzhov:
Sequential Learning with a Similarity Selection Index. Oper. Res. 72(6): 2526-2542 (2024) - [j24]Jialin Li, Ilya O. Ryzhov:
Moderate deviations inequalities for Gaussian process regression. J. Appl. Probab. 61(1): 172-197 (2024) - [j23]John Gunnar Carlsson, Xiaoshan Peng, Ilya O. Ryzhov:
Demand Equilibria in Spatial Service Systems. Manuf. Serv. Oper. Manag. 26(6): 2305-2321 (2024) - [j22]Yinhu Wang, Ye Chen, Ilya O. Ryzhov, Xiaoyue Cathy Liu, Nikola Markovic:
Resource Allocation in an Uncertain Environment: Application to Snowplowing Operations in Utah. Transp. Sci. 58(4): 781-800 (2024) - 2023
- [j21]Hua Zheng, Wei Xie, Ilya O. Ryzhov, Dongming Xie:
Policy Optimization in Dynamic Bayesian Network Hybrid Models of Biomanufacturing Processes. INFORMS J. Comput. 35(1): 66-82 (2023) - [j20]Ye Chen, Ilya O. Ryzhov:
Balancing Optimal Large Deviations in Sequential Selection. Manag. Sci. 69(6): 3457-3473 (2023) - [c26]Efe Sertkaya, Ilya O. Ryzhov:
Approximate Gaussian Process Regression with Pairwise Comparison Data. WSC 2023: 3496-3507 - 2022
- [j19]Ye Chen, Nikola Markovic, Ilya O. Ryzhov, Paul M. Schonfeld:
Data-Driven Robust Resource Allocation with Monotonic Cost Functions. Oper. Res. 70(1): 73-94 (2022) - [c25]Yi Zhou, Michael C. Fu, Ilya O. Ryzhov:
Policy Evaluation with Stochastic Gradient Estimation Techniques. WSC 2022: 3039-3050 - 2021
- [j18]Liyi Gu, Ilya O. Ryzhov, Mahyar Eftekhar:
The facts on the ground: Evaluating humanitarian fleet management policies using simulation. Eur. J. Oper. Res. 293(2): 681-702 (2021) - [j17]Yijie Peng, Chun-Hung Chen, Michael C. Fu, Jian-Qiang Hu, Ilya O. Ryzhov:
Efficient Sampling Allocation Procedures for Optimal Quantile Selection. INFORMS J. Comput. 33(1): 230-245 (2021) - [j16]Jiaqi Zhou, Ilya O. Ryzhov:
Equilibrium analysis of observable express service with customer choice. Queueing Syst. Theory Appl. 99(3-4): 243-281 (2021) - [c24]Yi Zhou, Michael C. Fu, Ilya O. Ryzhov:
Estimating a Conditional Expectation with the Generalized Likelihood Ratio Method. WSC 2021: 1-12 - [i3]Hua Zheng, Wei Xie, Ilya O. Ryzhov, Dongming Xie:
Policy Optimization in Bayesian Network Hybrid Models of Biomanufacturing Processes. CoRR abs/2105.06543 (2021) - 2020
- [j15]Ye Chen, Ilya O. Ryzhov:
Technical Note - Consistency Analysis of Sequential Learning Under Approximate Bayesian Inference. Oper. Res. 68(1): 295-307 (2020) - [c23]Ilya O. Ryzhov, Qiong Zhang, Ye Chen:
Advanced Statistical Methods: Inference, Variable Selection, And Experimental Design. WSC 2020: 1-15 - [i2]Hua Zheng, Ilya O. Ryzhov, Wei Xie, Judy Zhong:
Personalized Multimorbidity Management for Patients with Type 2 Diabetes Using Reinforcement Learning of Electronic Health Records. CoRR abs/2011.02287 (2020)
2010 – 2019
- 2019
- [j14]Ilya O. Ryzhov, Martijn R. K. Mes, Warren B. Powell, Gerald van den Berg:
Bayesian Exploration for Approximate Dynamic Programming. Oper. Res. 67(1): 198-214 (2019) - [j13]Yixiao Huang, Lei Zhao, Warren B. Powell, Yue Tong, Ilya O. Ryzhov:
Optimal Learning for Urban Delivery Fleet Allocation. Transp. Sci. 53(3): 623-641 (2019) - [c22]Ye Chen, Ilya O. Ryzhov:
Balancing Optimal Large Deviations in Ranking and Selection. WSC 2019: 3368-3379 - 2018
- [j12]Ilya O. Ryzhov:
The Local Time Method for Targeting and Selection. Oper. Res. 66(5): 1406-1422 (2018) - [c21]Meenal Chhabra, Sanmay Das, Ilya O. Ryzhov:
The Promise and Perils of Myopia in Dynamic Pricing With Censored Information. IJCAI 2018: 4994-5001 - [c20]Wei Xie, Pu Zhang, Ilya O. Ryzhov:
A simulation-based Prediction Framework for stochastic System Dynamic Risk Management. WSC 2018: 1886-1897 - 2017
- [j11]Nikola Markovic, Ilya O. Ryzhov, Paul M. Schonfeld:
Evasive flow capture: A multi-period stochastic facility location problem with independent demand. Eur. J. Oper. Res. 257(2): 687-703 (2017) - [c19]Ye Chen, Ilya O. Ryzhov:
Rate-optimality of the complete expected improvement criterion. WSC 2017: 2173-2182 - 2016
- [j10]Bin Han, Ilya O. Ryzhov, Boris Defourny:
Optimal Learning in Linear Regression with Combinatorial Feature Selection. INFORMS J. Comput. 28(4): 721-735 (2016) - [j9]Ilya O. Ryzhov:
On the Convergence Rates of Expected Improvement Methods. Oper. Res. 64(6): 1515-1528 (2016) - [j8]Ilya O. Ryzhov, Bin Han, Jelena Bradic:
Cultivating Disaster Donors Using Data Analytics. Manag. Sci. 62(3): 849-866 (2016) - [c18]Ye Chen, Ilya O. Ryzhov:
Approximate Bayesian inference as a form of stochastic approximation: A new consistency theory with applications. WSC 2016: 534-544 - 2015
- [j7]Huashuai Qu, Ilya O. Ryzhov, Michael C. Fu, Zi Ding:
Sequential Selection with Unknown Correlation Structures. Oper. Res. 63(4): 931-948 (2015) - [j6]Boris Defourny, Ilya O. Ryzhov, Warren B. Powell:
Optimal Information Blending with Measurements in the L2 Sphere. Math. Oper. Res. 40(4): 1060-1088 (2015) - [j5]Nikola Markovic, Ilya O. Ryzhov, Paul M. Schonfeld:
Evasive flow capture: Optimal location of weigh-in-motion systems, tollbooths, and security checkpoints. Networks 65(1): 22-42 (2015) - [j4]Ilya O. Ryzhov, Peter I. Frazier, Warren B. Powell:
A New Optimal Stepsize for Approximate Dynamic Programming. IEEE Trans. Autom. Control. 60(3): 743-758 (2015) - [c17]Ilya O. Ryzhov:
Expected improvement is equivalent to OCBA. WSC 2015: 3668-3677 - 2014
- [c16]Marie Chau, Michael C. Fu, Huashuai Qu, Ilya O. Ryzhov:
Simulation optimization: a tutorial overview and recent developments in gradient-based methods. WSC 2014: 21-35 - [c15]Michael C. Fu, Güzin Bayraksan, Shane G. Henderson, Barry L. Nelson, Warren B. Powell, Ilya O. Ryzhov, Benjamin G. Thengvall:
Simulation optimization: a panel on the state of the art in research and practice. WSC 2014: 3696-3706 - [i1]Ilya O. Ryzhov, Peter I. Frazier, Warren B. Powell:
A New Optimal Stepsize For Approximate Dynamic Programming. CoRR abs/1407.2676 (2014) - 2013
- [c14]Bin Han, Ilya O. Ryzhov, Boris Defourny:
Efficient learning of donor retention strategies for the American Red Cross. WSC 2013: 17-28 - [c13]Huashuai Qu, Ilya O. Ryzhov, Michael C. Fu:
Learning logistic demand curves in business-to-business pricing. WSC 2013: 29-40 - [c12]Zi Ding, Ilya O. Ryzhov:
Optimal learning with non-Gaussian rewards. WSC 2013: 631-642 - [c11]Marie Chau, Huashuai Qu, Michael C. Fu, Ilya O. Ryzhov:
An empirical sensitivity analysis of the Kiefer-Wolfowitz algorithm and its variants. WSC 2013: 945-956 - 2012
- [j3]Ilya O. Ryzhov, Warren B. Powell, Peter I. Frazier:
The Knowledge Gradient Algorithm for a General Class of Online Learning Problems. Oper. Res. 60(1): 180-195 (2012) - [j2]Ilya O. Ryzhov, Warren B. Powell:
Information Collection for Linear Programs with Uncertain Objective Coefficients. SIAM J. Optim. 22(4): 1344-1368 (2012) - [c10]Huashuai Qu, Ilya O. Ryzhov, Michael C. Fu:
Ranking and selection with unknown correlation structures. WSC 2012: 12:1-12:12 - [c9]Ilya O. Ryzhov, Boris Defourny, Warren B. Powell:
Ranking and selection meets robust optimization. WSC 2012: 48:1-48:11 - 2011
- [j1]Ilya O. Ryzhov, Warren B. Powell:
Information Collection on a Graph. Oper. Res. 59(1): 188-201 (2011) - [c8]Ilya O. Ryzhov, Warren B. Powell:
Bayesian active learning with basis functions. ADPRL 2011: 143-150 - [c7]Ilya O. Ryzhov, Awais Tariq, Warren B. Powell:
May the best man win: simulation optimization for match-making in e-sports. WSC 2011: 4239-4250 - [c6]Ilya O. Ryzhov, Warren B. Powell:
The value of information in multi-armed bandits with exponentially distributed rewards. ICCS 2011: 1363-1372 - 2010
- [c5]Ilya O. Ryzhov, Warren B. Powell:
Approximate dynamic programming with correlated Bayesian beliefs. Allerton 2010: 1360-1367 - [c4]Ilya O. Ryzhov, Martin R. Valdez-Vivas, Warren B. Powell:
Optimal learning of transition probabilities in the two-agent newsvendor problem. WSC 2010: 1088-1098 - [c3]Ilya O. Ryzhov, Peter I. Frazier, Warren B. Powell:
On the robustness of a one-period look-ahead policy in multi-armed bandit problems. ICCS 2010: 1635-1644
2000 – 2009
- 2009
- [c2]Ilya O. Ryzhov, Warren B. Powell:
The knowledge gradient algorithm for online subset selection. ADPRL 2009: 137-144 - [c1]Ilya O. Ryzhov, Warren B. Powell:
A Monte Carlo Knowledge Gradient Method for Learning Abatement Potential of Emissions Reduction Technologies. WSC 2009: 1492-1502
Coauthor Index
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