| 2023 | AAAI | Compressed Decentralized Learning of Conditional Mean Embedding Operators in Reproducing Kernel Hilbert Spaces. | Boya Hou, Sina Sanjari, Nathan Dahlin, Subhonmesh Bose |
| 2023 | ICML | Sparse Learning of Dynamical Systems in RKHS: An Operator-Theoretic Approach. | Boya Hou, Sina Sanjari, Nathan Dahlin, Subhonmesh Bose, Umesh Vaidya |
| 2021 | ACSSC | Sparse Learning of Kernel Transfer Operators. | Boya Hou, Subhonmesh Bose, Umesh Vaidya |
| 2021 | CISS | Risk-Sensitive Optimization And Pricing For The Modern Power Grid. | Subhonmesh Bose, Mariola Ndrio, Avinash N. Madavan, Lang Tong, Ye Guo |
| 2019 | CISS | The Impact of Aggregating Distributed Energy Resources on Electricity Market Efficiency. | Khaled Alshehri, Mariola Ndrio, Subhonmesh Bose, Tamer Basar |
| 2019 | CISS | Business-to-Peer Carsharing Systems with Electric Vehicles. | Theodoros Mamalis, Subhonmesh Bose, Lav R. Varshney |
| 2017 | CISS | On the efficiency of networked Stackelberg competition. | Yunjian Xu, Desmond W. H. Cai, Subhonmesh Bose, Adam Wierman |
| 2014 | CISS | Solving quadratically constrained quadratic programs on acyclic graphs with application to optimal power flow. | Subhonmesh Bose, Dennice F. Gayme, K. Mani Chandy, Steven H. Low |