Chinmay Maheshwari

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 28

Top Topics

Lagrange Multipliers

Top Venues

Publications

Pan-Yang Su, Chinmay Maheshwari, Victoria Tuck, Shankar Sastry
Incentive-Compatible Vertiport Reservation in Advanced Air Mobility: An Auction-Based Approach. CoRR (2024)
Chinmay Maheshwari, Kshitij Kulkarni, Druv Pai, Jiarui Yang, Manxi Wu, Shankar Sastry
Congestion Pricing for Efficiency and Equity: Theory and Applications to the San Francisco Bay Area. CoRR (2024)
Chinmay Maheshwari, Kshitij Kulkarni, Manxi Wu, S. Shankar Sastry
Adaptive Incentive Design with Learning Agents. CoRR (2024)
Sukanya Kudva, Kshitij Kulkarni, Chinmay Maheshwari, Anil Aswani, S. Shankar Sastry
Understanding the Impact of Coalitions between EV Charging Stations. CoRR (2024)
Xin Guo, Xinyu Li, Chinmay Maheshwari, Shankar Sastry, Manxi Wu
Markov α-Potential Games: Equilibrium Approximation and Regret Analysis. CoRR (2023)
Chih-Yuan Chiu, Chinmay Maheshwari, Pan-Yang Su, Shankar Sastry
Arc-Based Traffic Assignment: Equilibrium Characterization and Learning. CDC (2023)
Chinmay Maheshwari, S. Shankar Sastry, Lillian J. Ratliff, Eric Mazumdar
Convergent First-Order Methods for Bi-level Optimization and Stackelberg Games. CoRR (2023)
Deepan Muthirayan, Chinmay Maheshwari, Pramod P. Khargonekar, Shankar S. Sastry
Competing Bandits in Time Varying Matching Markets. L4DC (2023)
Chih-Yuan Chiu, Chinmay Maheshwari, Pan-Yang Su, Shankar Sastry
Dynamic Tolling in Arc-based Traffic Assignment Models. CoRR (2023)
Chih-Yuan Chiu, Chinmay Maheshwari, Pan-Yang Su, Shankar Sastry
Dynamic Tolling in Arc-based Traffic Assignment Models. Allerton (2023)
Sreenivas Gollapudi, Kostas Kollias, Chinmay Maheshwari, Manxi Wu
Online Learning for Traffic Navigation in Congested Networks. ALT (2023)
Chih-Yuan Chiu, Chinmay Maheshwari, Pan-Yang Su, S. Shankar Sastry
Arc-based Traffic Assignment: Equilibrium Characterization and Learning. CoRR (2023)
Chinmay Maheshwari, Shankar Sastry, Eric Mazumdar
Decentralized, Communication- and Coordination-free Learning in Structured Matching Markets. NeurIPS (2022)
Chinmay Maheshwari, Kshitij Kulkarni, Manxi Wu, S. Shankar Sastry
Dynamic Tolling for Inducing Socially Optimal Traffic Loads. ACC (2022)
Chinmay Maheshwari, Manxi Wu, Druv Pai, Shankar Sastry
Independent and Decentralized Learning in Markov Potential Games. CoRR (2022)
Chinmay Maheshwari, Kshitij Kulkarni, Manxi Wu, S. Shankar Sastry
Inducing Social Optimality in Games via Adaptive Incentive Design. CDC (2022)
Deepan Muthirayan, Chinmay Maheshwari, Pramod P. Khargonekar, Shankar Sastry
Competing Bandits in Time Varying Matching Markets. CoRR (2022)
Chinmay Maheshwari, Eric Mazumdar, Shankar Sastry
Decentralized, Communication- and Coordination-free Learning in Structured Matching Markets. CoRR (2022)
Chinmay Maheshwari, Kshitij Kulkarni, Manxi Wu, Shankar Sastry
Inducing Social Optimality in Games via Adaptive Incentive Design. CoRR (2022)
Chinmay Maheshwari, Chih-Yuan Chiu, Eric Mazumdar, Shankar Sastry, Lillian J. Ratliff
Zeroth-Order Methods for Convex-Concave Min-max Problems: Applications to Decision-Dependent Risk Minimization. AISTATS (2022)
Chinmay Maheshwari, Kshitij Kulkarni, Manxi Wu, Shankar Sastry
Dynamic Tolling for Inducing Socially Optimal Traffic Loads. CoRR (2021)
Chinmay Maheshwari, Sukumar Srikant, Debasish Chatterjee
Stabilization under round-robin scheduling of control inputs in nonlinear systems. Autom. 134 (2021)
Chinmay Maheshwari, Chih-Yuan Chiu, Eric Mazumdar, S. Shankar Sastry, Lillian J. Ratliff
Zeroth-Order Methods for Convex-Concave Minmax Problems: Applications to Decision-Dependent Risk Minimization. CoRR (2021)
Chinmay Maheshwari, Srikant Sukumar, Debasish Chatterjee
Optimal Multiplexing of Discrete-Time Constrained Control Systems on Matrix Lie Groups. IEEE Trans. Autom. Control. 66 (4) (2021)
Chinmay Maheshwari, Srikant Sukumar, Debasish Chatterjee
On optimal multiplexing of an ensemble of discrete-time constrained control systems on matrix Lie groups. CoRR (2019)
Chinmay Maheshwari, Srikant Sukumar, Debasish Chatterjee
Stabilization under round robin scheduling of control inputs in nonlinear systems. CoRR (2019)
Chinmay Maheshwari, Srikant Sukumar, Debasish Chatterjee
Round-robin temporal scheduling of exponentially stabilizing controllers. ASCC (2019)
Zeeshan Ahmad, Tian Xie, Chinmay Maheshwari, Jeffrey C. Grossman, Venkatasubramanian Viswanathan
Machine Learning Enabled Computational Screening of Inorganic Solid Electrolytes for Dendrite Suppression with Li Metal Anode. CoRR (2018)