The knowledge gradient algorithm for online subset selection. - Ilya O. Ryzhov; Warren B. Powell (ADPRL, 2009)

A Monte Carlo Knowledge Gradient Method for Learning Abatement Potential of Emissions Reduction Technologies. - Ilya O. Ryzhov; Warren B. Powell (WSC, 2009)

Approximate dynamic programming with correlated Bayesian beliefs. - Ilya O. Ryzhov; Warren B. Powell (Allerton, 2010)

Optimal learning of transition probabilities in the two-agent newsvendor problem. - Ilya O. Ryzhov; Martin R. Valdez-Vivas; Warren B. Powell (WSC, 2010)

On the robustness of a one-period look-ahead policy in multi-armed bandit problems. - Ilya O. Ryzhov; Peter I. Frazier; Warren B. Powell (ICCS, 2010)

Bayesian active learning with basis functions. - Ilya O. Ryzhov; Warren B. Powell (ADPRL, 2011)

May the best man win: simulation optimization for match-making in e-sports. - Ilya O. Ryzhov; Awais Tariq; Warren B. Powell (WSC, 2011)

Information Collection on a Graph. - Ilya O. Ryzhov; Warren B. Powell (Oper. Res., 2011)

The value of information in multi-armed bandits with exponentially distributed rewards. - Ilya O. Ryzhov; Warren B. Powell (ICCS, 2011)

Ranking and selection with unknown correlation structures. - Huashuai Qu; Ilya O. Ryzhov; Michael C. Fu 001 (WSC, 2012)

Ranking and selection meets robust optimization. - Ilya O. Ryzhov; Boris Defourny; Warren B. Powell (WSC, 2012)

The Knowledge Gradient Algorithm for a General Class of Online Learning Problems. - Ilya O. Ryzhov; Warren B. Powell; Peter I. Frazier (Oper. Res., 2012)

Information Collection for Linear Programs with Uncertain Objective Coefficients. - Ilya O. Ryzhov; Warren B. Powell (SIAM J. Optim., 2012)

An empirical sensitivity analysis of the Kiefer-Wolfowitz algorithm and its variants. - Marie Chau; Huashuai Qu; Michael C. Fu 001; Ilya O. Ryzhov (WSC, 2013)

Optimal learning with non-Gaussian rewards. - Zi Ding; Ilya O. Ryzhov (WSC, 2013)

Efficient learning of donor retention strategies for the American Red Cross. - Bin Han 007; Ilya O. Ryzhov; Boris Defourny (WSC, 2013)

Learning logistic demand curves in business-to-business pricing. - Huashuai Qu; Ilya O. Ryzhov; Michael C. Fu 001 (WSC, 2013)

Simulation optimization: a tutorial overview and recent developments in gradient-based methods. - Marie Chau; Michael C. Fu 001; Huashuai Qu; Ilya O. Ryzhov (WSC, 2014)

Simulation optimization: a panel on the state of the art in research and practice. - Michael C. Fu 001; Güzin Bayraksan; Shane G. Henderson; Barry L. Nelson; Warren B. Powell; Ilya O. Ryzhov; Benjamin G. Thengvall (WSC, 2014)

Expected improvement is equivalent to OCBA. - Ilya O. Ryzhov (WSC, 2015)

Sequential Selection with Unknown Correlation Structures. - Huashuai Qu; Ilya O. Ryzhov; Michael C. Fu 001; Zi Ding (Oper. Res., 2015)

Optimal Information Blending with Measurements in the L2 Sphere. - Boris Defourny; Ilya O. Ryzhov; Warren B. Powell (Math. Oper. Res., 2015)

Evasive flow capture: Optimal location of weigh-in-motion systems, tollbooths, and security checkpoints. - Nikola Markovic; Ilya O. Ryzhov; Paul M. Schonfeld (Networks, 2015)

A New Optimal Stepsize for Approximate Dynamic Programming. - Ilya O. Ryzhov; Peter I. Frazier; Warren B. Powell (IEEE Trans. Autom. Control., 2015)

Approximate Bayesian inference as a form of stochastic approximation: A new consistency theory with applications. - Ye Chen; Ilya O. Ryzhov (WSC, 2016)

Optimal Learning in Linear Regression with Combinatorial Feature Selection. - Bin Han 007; Ilya O. Ryzhov; Boris Defourny (INFORMS J. Comput., 2016)

On the Convergence Rates of Expected Improvement Methods. - Ilya O. Ryzhov (Oper. Res., 2016)

Cultivating Disaster Donors Using Data Analytics. - Ilya O. Ryzhov; Bin Han 007; Jelena Bradic (Manag. Sci., 2016)

Rate-optimality of the complete expected improvement criterion. - Ye Chen; Ilya O. Ryzhov (WSC, 2017)

Evasive flow capture: A multi-period stochastic facility location problem with independent demand. - Nikola Markovic; Ilya O. Ryzhov; Paul M. Schonfeld (Eur. J. Oper. Res., 2017)

The Promise and Perils of Myopia in Dynamic Pricing With Censored Information. - Meenal Chhabra; Sanmay Das; Ilya O. Ryzhov (IJCAI, 2018)

A simulation-based Prediction Framework for stochastic System Dynamic Risk Management. - Wei Xie; Pu Zhang; Ilya O. Ryzhov (WSC, 2018)

The Local Time Method for Targeting and Selection. - Ilya O. Ryzhov (Oper. Res., 2018)

Balancing Optimal Large Deviations in Ranking and Selection. - Ye Chen; Ilya O. Ryzhov (WSC, 2019)

Bayesian Exploration for Approximate Dynamic Programming. - Ilya O. Ryzhov; Martijn R. K. Mes; Warren B. Powell; Gerald van den Berg (Oper. Res., 2019)

Optimal Learning for Urban Delivery Fleet Allocation. - Yixiao Huang 001; Lei Zhao 009; Warren B. Powell; Yue Tong; Ilya O. Ryzhov (Transp. Sci., 2019)

Advanced Statistical Methods: Inference, Variable Selection, And Experimental Design. - Ilya O. Ryzhov; Qiong Zhang; Ye Chen (WSC, 2020)

Personalized Multimorbidity Management for Patients with Type 2 Diabetes Using Reinforcement Learning of Electronic Health Records. - Hua Zheng; Ilya O. Ryzhov; Wei Xie; Judy Zhong (CoRR, 2020)

Technical Note - Consistency Analysis of Sequential Learning Under Approximate Bayesian Inference. - Ye Chen; Ilya O. Ryzhov (Oper. Res., 2020)

Estimating a Conditional Expectation with the Generalized Likelihood Ratio Method. - Yi Zhou; Michael C. Fu 001; Ilya O. Ryzhov (WSC, 2021)

Policy Optimization in Bayesian Network Hybrid Models of Biomanufacturing Processes. - Hua Zheng; Wei Xie; Ilya O. Ryzhov; Dongming Xie (CoRR, 2021)

The facts on the ground: Evaluating humanitarian fleet management policies using simulation. - Liyi Gu; Ilya O. Ryzhov; Mahyar Eftekhar (Eur. J. Oper. Res., 2021)

Efficient Sampling Allocation Procedures for Optimal Quantile Selection. - Yijie Peng; Chun-Hung Chen; Michael C. Fu 001; Jian-Qiang Hu; Ilya O. Ryzhov (INFORMS J. Comput., 2021)

Equilibrium analysis of observable express service with customer choice. - Jiaqi Zhou 008; Ilya O. Ryzhov (Queueing Syst. Theory Appl., 2021)

Policy Evaluation with Stochastic Gradient Estimation Techniques. - Yi Zhou; Michael C. Fu 001; Ilya O. Ryzhov (WSC, 2022)

Data-Driven Robust Resource Allocation with Monotonic Cost Functions. - Ye Chen; Nikola Markovic; Ilya O. Ryzhov; Paul M. Schonfeld (Oper. Res., 2022)

Approximate Gaussian Process Regression with Pairwise Comparison Data. - Efe Sertkaya; Ilya O. Ryzhov (WSC, 2023)

Policy Optimization in Dynamic Bayesian Network Hybrid Models of Biomanufacturing Processes. - Hua Zheng; Wei Xie; Ilya O. Ryzhov; Dongming Xie (INFORMS J. Comput., 2023)

Balancing Optimal Large Deviations in Sequential Selection. - Ye Chen; Ilya O. Ryzhov (Manag. Sci., 2023)

Introduction to Optimal Transport. - Ilya O. Ryzhov; Raghu Pasupathy; Harsha Honnappa (WSC, 2024)

Improving Snowplowing Operations in Utah Through Optimization and Visualization. - Yinhu Wang; Ye Chen; Ilya O. Ryzhov; Xiaoyue Cathy Liu; Nikola Markovic (INFORMS J. Appl. Anal., 2024)

Sequential Learning with a Similarity Selection Index. - Yi Zhou; Michael C. Fu 001; Ilya O. Ryzhov (Oper. Res., 2024)

Demand Equilibria in Spatial Service Systems. - John Gunnar Carlsson; Xiaoshan Peng; Ilya O. Ryzhov (Manuf. Serv. Oper. Manag., 2024)

Resource Allocation in an Uncertain Environment: Application to Snowplowing Operations in Utah. - Yinhu Wang; Ye Chen; Ilya O. Ryzhov; Xiaoyue Cathy Liu; Nikola Markovic (Transp. Sci., 2024)

Moderate deviations inequalities for Gaussian process regression. - Jialin Li; Ilya O. Ryzhov (J. Appl. Probab., 2024)

Technical Note - A New Rate-Optimal Sampling Allocation for Linear Belief Models. - Jiaqi Zhou; Ilya O. Ryzhov (Oper. Res., 2025)

Digital Twin Calibration with Model-Based Reinforcement Learning. - Hua Zheng; Wei Xie; Ilya O. Ryzhov; Keilung Choy (CoRR, 2025)