44 citations · 99 across the 35 of their papers we have counts for
51 papers
Removing Temporal Note Redundancy Improves Multimodal Reinforcement Learning for Medicine
Chenran Weng, Joo Seung Lee, Malini Mahendra +1
Mechanical ventilation is a critical life-support intervention, requiring dynamic adjustments to ventilator settings as a patient's condition evolves. While reinforcement learning…
Physics-Informed Tensor Completion with Application to Distribution System State Estimation
Alexander While, Anil Aswani, Chen Chen +1
State estimation in power distribution networks often involves sparse, noisy, and heterogeneous measurements, making classical weighted least-squares methods unreliable in low-obse…
Collusion-proof Auction Design using Side Information
Sukanya Kudva, Edward Dowling, Anil Aswani
Existing auction mechanisms are vulnerable to bidder collusion, which substantially degrades revenue and non-colluder welfare. To design truthful mechanisms resilient to collusion,…
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…
Understanding the Impact of Coalitions between EV Charging Stations
Sukanya Kudva, Kshitij Kulkarni, Chinmay Maheshwari +2
The rapid growth of electric vehicles (EVs) is driving the expansion of charging infrastructure globally. As charging stations become ubiquitous, their substantial electricity cons…
Methodology for Interpretable Reinforcement Learning for Optimizing Mechanical Ventilation
Joo Seung Lee, Malini Mahendra, Anil Aswani
Mechanical ventilation is a critical life support intervention that delivers controlled air and oxygen to a patient's lungs, assisting or replacing spontaneous breathing. While sev…
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…
Accelerated Nonnegative Tensor Completion via Integer Programming
Wenhao Pan, Anil Aswani, Chen Chen
The problem of tensor completion has applications in healthcare, computer vision, and other domains. However, past approaches to tensor completion have faced a tension in that they…
When would online platforms pay data dividends
Sukanya Kudva, Anil Aswani
Online platforms, including social media and search platforms, have routinely used their users' data for targeted ads, to improve their services, and to sell to third-party buyers.…
Optimal Policy for Inventory Management with Periodic and Controlled Resets
Yoon Lee, Yonatan Mintz, Anil Aswani +2
Inventory management problems with periodic and controllable resets occur in the context of managing water storage in the developing world and retailing limited-time availability p…
Optimally Designing Cybersecurity Insurance Contracts to Encourage the Sharing of Medical Data
Yoon Lee, Anil Aswani
Though the sharing of medical data has the potential to lead to breakthroughs in health care, the sharing process itself exposes patients and health care providers to various risks…
Learning from learning machines: a new generation of AI technology to meet the needs of science
Luca Pion-Tonachini, Kristofer Bouchard, Hector Garcia Martin +33
We outline emerging opportunities and challenges to enhance the utility of AI for scientific discovery. The distinct goals of AI for industry versus the goals of AI for science cre…
Nonnegative Tensor Completion via Integer Optimization
Caleb Bugg, Chen Chen, Anil Aswani
Unlike matrix completion, tensor completion does not have an algorithm that is known to achieve the information-theoretic sample complexity rate. This paper develops a new algorith…
Protecting Anonymous Speech: A Generative Adversarial Network Methodology for Removing Stylistic Indicators in Text
Rishi Balakrishnan, Stephen Sloan, Anil Aswani
With Internet users constantly leaving a trail of text, whether through blogs, emails, or social media posts, the ability to write and protest anonymously is being eroded because a…
Regret Analysis of Learning-Based MPC with Partially-Unknown Cost Function
Ilgin Dogan, Zuo-Jun Max Shen, Anil Aswani
The exploration/exploitation trade-off is an inherent challenge in data-driven adaptive control. Though this trade-off has been studied for multi-armed bandits (MAB's) and reinforc…
Resilient Control of Platooning Networked Robotic Systems via Dynamic Watermarking
Matthew Porter, Arnav Joshi, Sidhartha Dey +5
Networked robotic systems, such as connected vehicle platoons, can improve the safety and efficiency of transportation networks by allowing for high-speed coordination. To enable s…
Covariance-Robust Dynamic Watermarking
Matt Olfat, Stephen Sloan, Pedro Hespanhol +3
Attack detection and mitigation strategies for cyberphysical systems (CPS) are an active area of research, and researchers have developed a variety of attack-detection tools such a…
Hypothesis Testing Approach to Detecting Collusion in Competitive Environments
Pedro Hespanhol, Anil Aswani
There is growing concern about tacit collusion using algorithmic pricing, and regulators need tools to help detect the possibility of such collusion. This paper studies how to desi…
Detecting Deception Attacks on Autonomous Vehicles via Linear Time-Varying Dynamic Watermarking
Matthew Porter, Sidhartha Dey, Arnav Joshi +4
Cyber-physical systems (CPS) such as autonomous vehicles rely on both on-board sensors and external communications to estimate their state. Unfortunately, these communications rend…
Optimization Hierarchy for Fair Statistical Decision Problems
Anil Aswani, Matt Olfat
Data-driven decision-making has drawn scrutiny from policy makers due to fears of potential discrimination, and a growing literature has begun to develop fair statistical technique…
Detecting Generalized Replay Attacks via Time-Varying Dynamic Watermarking
Matthew Porter, Pedro Hespanhol, Anil Aswani +2
Cyber-physical systems (CPS) often rely on external communication for supervisory control or sensing. Unfortunately, these communications render the system vulnerable to cyber-atta…
Sensor Switching Control Under Attacks Detectable by Finite Sample Dynamic Watermarking Tests
Pedro Hespanhol, Matthew Porter, Ram Vasudevan +1
Control system security is enhanced by the ability to detect malicious attacks on sensor measurements. Dynamic watermarking can detect such attacks on linear time-invariant (LTI) s…