Embedded Files
For complete list checkout my google scholar page.
Publications:
Dohyun Ahn, Sandeep Juneja, Tejas Pagare, and Shreyas Samudra, Data-Driven Estimation of Tail Probabilities under Varying Distributional Assumptions, Winter Simulation Conference (Invited), 2025
Tejas Pagare, Agniv Bandyopadhyay, Sandeep Juneja, Optimal Algorithms for Bandit Learning in Matching Market, In submission, 2025
Tejas Pagare, Avishek Ghosh, Explore-then-Commit Algorithms for Decentralized Two-Sided Matching Markets, IEEE International Symposium on Information Theory (ISIT), 2024
Tejas Pagare, Vivek Borkar, Konstantin Avrachenkov, Full Gradient Deep Reinforcement Learning for Average-Reward Criterion, Learning for Dynamics and Control Conference, 2023
Hopf Bifurcation Analysis with Application to Networked Dynamical Systems
Hopf Bifurcation analysis helps in determining the stability, direction and amplitude of arising periodic cycle. The analysis helps design congestion control algorithms, where the parameters are maintained in a stable regime such that if the limit cycle appears, it will be of small amplitude.
Thesis | Slides
Page updated
Google Sites
Report abuse