3 citations · 5 across the 8 of their papers we have counts for
10 papers
MMA-SafetyBench: A Benchmark for Multimodal Agent Safety Evaluation
Yuke Wang, Benlei Cui, Shen Pang +7
Multimodal agents increasingly rely on visual interfaces to perceive state and select actions, creating an attack surface not captured by text-only safety evaluations. We study Vis…
Quantile optimization in semidiscrete optimal transport
Yinchu Zhu, Ilya O. Ryzhov
Optimal transport is the problem of designing a joint distribution for two random variables with fixed marginals. In virtually the entire literature on this topic, the objective is…
Individual and group fairness in geographical partitioning
Ilya O. Ryzhov, John Gunnar Carlsson, Yinchu Zhu
Socioeconomic segregation often arises in school districting and other contexts, causing some groups to be over- or under-represented within a particular district. This phenomenon…
Optimal Simulation Budget Allocation Under Unknown Sampling Variance
Jianzhong Du, Ilya O. Ryzhov, Siyang Gao
The ranking and selection problem is a popular framework in the simulation literature for studying optimal information collection. We study a version of this problem in which the s…
Digital Twin Calibration with Model-Based Reinforcement Learning
Hua Zheng, Wei Xie, Ilya O. Ryzhov +1
This paper presents a novel methodological framework, called the Actor-Simulator, that incorporates the calibration of digital twins into model-based reinforcement learning for mor…
Semidiscrete optimal transport with unknown costs
Yinchu Zhu, Ilya O. Ryzhov
Semidiscrete optimal transport is a challenging generalization of the classical transportation problem in linear programming. The goal is to design a joint distribution for two ran…
Optimal data-driven hiring with equity for underrepresented groups
Yinchu Zhu, Ilya O. Ryzhov
We present a data-driven prescriptive framework for fair decisions, motivated by hiring. An employer evaluates a set of applicants based on their observable attributes. The goal is…
Policy Optimization in Dynamic Bayesian Network Hybrid Models of Biomanufacturing Processes
Hua Zheng, Wei Xie, Ilya O. Ryzhov +1
Biopharmaceutical manufacturing is a rapidly growing industry with impact in virtually all branches of medicines. Biomanufacturing processes require close monitoring and control, i…
Personalized Multimorbidity Management for Patients with Type 2 Diabetes Using Reinforcement Learning of Electronic Health Records
Hua Zheng, Ilya O. Ryzhov, Wei Xie +1
Comorbid chronic conditions are common among people with type 2 diabetes. We developed an Artificial Intelligence algorithm, based on Reinforcement Learning (RL), for personalized…
A New Optimal Stepsize For Approximate Dynamic Programming
Ilya O. Ryzhov, Peter I. Frazier, Warren B. Powell
Approximate dynamic programming (ADP) has proven itself in a wide range of applications spanning large-scale transportation problems, health care, revenue management, and energy sy…