8 citations · 8 across the 1 of their papers we have counts for
5 papers
Tensor Completion via Integer Optimization
Xin Chen, Sukanya Kudva, Yongzheng Dai +2
The main challenge with the tensor completion problem is a fundamental tension between computation power and the information-theoretic sample complexity rate. Past approaches eithe…
Optimal Contract Design for End-of-Life Care Payments
Muyan Jiang, Ying Chen, Xin Chen +2
A large fraction of total healthcare expenditure occurs due to end-of-life (EOL) care, which means it is important to study the problem of more carefully incentivizing necessary ve…
Estimating and Incentivizing Imperfect-Knowledge Agents with Hidden Rewards
Ilgin Dogan, Zuo-Jun Max Shen, Anil Aswani
In practice, incentive providers (i.e., principals) often cannot observe the reward realizations of incentivized agents, which is in contrast to many principal-agent models that ha…
Repeated Principal-Agent Games with Unobserved Agent Rewards and Perfect-Knowledge Agents
Ilgin Dogan, Zuo-Jun Max Shen, Anil Aswani
Motivated by a number of real-world applications from domains like healthcare and sustainable transportation, in this paper we study a scenario of repeated principal-agent games wi…
Practical Comparison of Optimization Algorithms for Learning-Based MPC with Linear Models
Anil Aswani, Patrick Bouffard, Xiaojing Zhang +1
Learning-based control methods are an attractive approach for addressing performance and efficiency challenges in robotics and automation systems. One such technique that has found…