| 2025 | WSC | Revisiting an Open Question in Ranking and Selection under Unknown Variances. | Jianzhong Du, Siyang Gao, Ilya O. Ryzhov |
| 2025 | WSC | Simulation Optimization and Stochastic Gradients: Theory & Practice. | Michael C. Fu, Jiaqiao Hu, Ilya O. Ryzhov, Enlu Zhou |
| 2024 | WSC | Introduction to Optimal Transport. | Ilya O. Ryzhov, Raghu Pasupathy, Harsha Honnappa |
| 2023 | WSC | Approximate Gaussian Process Regression with Pairwise Comparison Data. | Efe Sertkaya, Ilya O. Ryzhov |
| 2022 | WSC | Policy Evaluation with Stochastic Gradient Estimation Techniques. | Yi Zhou, Michael C. Fu, Ilya O. Ryzhov |
| 2021 | WSC | Estimating a Conditional Expectation with the Generalized Likelihood Ratio Method. | Yi Zhou, Michael C. Fu, Ilya O. Ryzhov |
| 2020 | WSC | Advanced Statistical Methods: Inference, Variable Selection, And Experimental Design. | Ilya O. Ryzhov, Qiong Zhang, Ye Chen |
| 2019 | WSC | Balancing Optimal Large Deviations in Ranking and Selection. | Ye Chen, Ilya O. Ryzhov |
| 2018 | IJCAI | The Promise and Perils of Myopia in Dynamic Pricing With Censored Information. | Meenal Chhabra, Sanmay Das, Ilya O. Ryzhov |
| 2018 | WSC | A simulation-based Prediction Framework for stochastic System Dynamic Risk Management. | Wei Xie, Pu Zhang, Ilya O. Ryzhov |
| 2017 | WSC | Rate-optimality of the complete expected improvement criterion. | Ye Chen, Ilya O. Ryzhov |
| 2016 | WSC | Approximate Bayesian inference as a form of stochastic approximation: A new consistency theory with applications. | Ye Chen, Ilya O. Ryzhov |
| 2015 | WSC | Expected improvement is equivalent to OCBA. | Ilya O. Ryzhov |
| 2014 | WSC | Simulation optimization: a tutorial overview and recent developments in gradient-based methods. | Marie Chau, Michael C. Fu, Huashuai Qu, Ilya O. Ryzhov |
| 2014 | WSC | Simulation optimization: a panel on the state of the art in research and practice. | Michael C. Fu, Gzin Bayraksan, Shane G. Henderson, Barry L. Nelson, Warren B. Powell, Ilya O. Ryzhov, Benjamin G. Thengvall |
| 2013 | WSC | An empirical sensitivity analysis of the Kiefer-Wolfowitz algorithm and its variants. | Marie Chau, Huashuai Qu, Michael C. Fu, Ilya O. Ryzhov |
| 2013 | WSC | Optimal learning with non-Gaussian rewards. | Zi Ding, Ilya O. Ryzhov |
| 2013 | WSC | Efficient learning of donor retention strategies for the American Red Cross. | Bin Han, Ilya O. Ryzhov, Boris Defourny |
| 2013 | WSC | Learning logistic demand curves in business-to-business pricing. | Huashuai Qu, Ilya O. Ryzhov, Michael C. Fu |
| 2012 | WSC | Ranking and selection with unknown correlation structures. | Huashuai Qu, Ilya O. Ryzhov, Michael C. Fu |
| 2012 | WSC | Ranking and selection meets robust optimization. | Ilya O. Ryzhov, Boris Defourny, Warren B. Powell |
| 2011 | WSC | May the best man win: simulation optimization for match-making in e-sports. | Ilya O. Ryzhov, Awais Tariq, Warren B. Powell |
| 2010 | WSC | Optimal learning of transition probabilities in the two-agent newsvendor problem. | Ilya O. Ryzhov, Martin R. Valdez-Vivas, Warren B. Powell |
| 2009 | WSC | A Monte Carlo Knowledge Gradient Method for Learning Abatement Potential of Emissions Reduction Technologies. | Ilya O. Ryzhov, Warren B. Powell |