Chinmay Maheshwari

According to our database, Chinmay Maheshwari authored at least 19 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Incentive-Compatible Vertiport Reservation in Advanced Air Mobility: An Auction-Based Approach.

Pan-Yang Su, Chinmay Maheshwari, Victoria Tuck, Shankar Sastry

CoRR, 2024

Congestion Pricing for Efficiency and Equity: Theory and Applications to the San Francisco Bay Area.

Chinmay Maheshwari, Kshitij Kulkarni, Druv Pai, Jiarui Yang, Manxi Wu, Shankar Sastry

CoRR, 2024

2023

Markov α-Potential Games: Equilibrium Approximation and Regret Analysis.

Xin Guo, Xinyu Li, Chinmay Maheshwari, Shankar Sastry, Manxi Wu

CoRR, 2023

Convergent First-Order Methods for Bi-level Optimization and Stackelberg Games.

Chinmay Maheshwari, S. Shankar Sastry, Lillian J. Ratliff, Eric Mazumdar

CoRR, 2023

Competing Bandits in Time Varying Matching Markets.

Deepan Muthirayan, Chinmay Maheshwari, Pramod P. Khargonekar, Shankar S. Sastry

Proceedings of the Learning for Dynamics and Control Conference, 2023

Arc-Based Traffic Assignment: Equilibrium Characterization and Learning.

Chih-Yuan Chiu, Chinmay Maheshwari, Pan-Yang Su, Shankar Sastry

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Online Learning for Traffic Navigation in Congested Networks.

Sreenivas Gollapudi, Kostas Kollias, Chinmay Maheshwari, Manxi Wu

Proceedings of the International Conference on Algorithmic Learning Theory, 2023

Dynamic Tolling in Arc-based Traffic Assignment Models.

Chih-Yuan Chiu, Chinmay Maheshwari, Pan-Yang Su, Shankar Sastry

Proceedings of the 59th Annual Allerton Conference on Communication, 2023

2022

Independent and Decentralized Learning in Markov Potential Games.

Chinmay Maheshwari, Manxi Wu, Druv Pai, Shankar Sastry

CoRR, 2022

Decentralized, Communication- and Coordination-free Learning in Structured Matching Markets.

Chinmay Maheshwari, Shankar Sastry, Eric Mazumdar

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Inducing Social Optimality in Games via Adaptive Incentive Design.

Chinmay Maheshwari, Kshitij Kulkarni, Manxi Wu, S. Shankar Sastry

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Dynamic Tolling for Inducing Socially Optimal Traffic Loads.

Chinmay Maheshwari, Kshitij Kulkarni, Manxi Wu, S. Shankar Sastry

Proceedings of the American Control Conference, 2022

Zeroth-Order Methods for Convex-Concave Min-max Problems: Applications to Decision-Dependent Risk Minimization.

Chinmay Maheshwari, Chih-Yuan Chiu, Eric Mazumdar, Shankar Sastry, Lillian J. Ratliff

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Optimal Multiplexing of Discrete-Time Constrained Control Systems on Matrix Lie Groups.

Chinmay Maheshwari, Srikant Sukumar, Debasish Chatterjee

IEEE Trans. Autom. Control., 2021

Zeroth-Order Methods for Convex-Concave Minmax Problems: Applications to Decision-Dependent Risk Minimization.

Chinmay Maheshwari, Chih-Yuan Chiu, Eric Mazumdar, S. Shankar Sastry, Lillian J. Ratliff

CoRR, 2021

Stabilization under round-robin scheduling of control inputs in nonlinear systems.

Chinmay Maheshwari, Sukumar Srikant, Debasish Chatterjee

Autom., 2021

2019

On optimal multiplexing of an ensemble of discrete-time constrained control systems on matrix Lie groups.

Chinmay Maheshwari, Srikant Sukumar, Debasish Chatterjee

CoRR, 2019

Round-robin temporal scheduling of exponentially stabilizing controllers.

Chinmay Maheshwari, Srikant Sukumar, Debasish Chatterjee

Proceedings of the 12th Asian Control Conference, 2019

2018

Machine Learning Enabled Computational Screening of Inorganic Solid Electrolytes for Dendrite Suppression with Li Metal Anode.

Zeeshan Ahmad, Tian Xie, Chinmay Maheshwari, Jeffrey C. Grossman, Venkatasubramanian Viswanathan

CoRR, 2018