Bayesian machine learning framework for characterizing structural dependency, dynamics, and volatility of cryptocurrency market using potential field theory.
Expert Syst. Appl., 2025
Optimal pricing in black box producer-consumer Stackelberg games using revealed preference feedback.
Neurocomputing, 2021
A Bayesian Optimization Approach to Compute Nash Equilibrium of Potential Games Using Bandit Feedback.
Comput. J., 2021
A Bayesian optimization approach to compute the Nash equilibria of potential games using bandit feedback.
CoRR, 2018
Multiple stopping time POMDPs: Structural results & application in interactive advertising on social media.
Autom., 2018
Utility Change Point Detection in Online Social Media: A Revealed Preference Framework.
IEEE Trans. Signal Process., 2017
Engagement and Popularity Dynamics of YouTube Videos and Sensitivity to Meta-Data.
IEEE Trans. Knowl. Data Eng., 2017
A data centric approach to utility change detection in online social media.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
Opportunistic Advertisement Scheduling in Live Social Media: A Multiple Stopping Time POMDP Approach.
CoRR, 2016
Engagement dynamics and sensitivity analysis of YouTube videos.
CoRR, 2016
PAC Algorithms for Detecting Nash Equilibrium Play in Social Networks: From Twitter to Energy Markets.
IEEE Access, 2016
Multiple stopping time POMDPs: Structural results.
Proceedings of the 54th Annual Allerton Conference on Communication, 2016
Transmit Power Control Policies for Energy Harvesting Sensors With Retransmissions.
IEEE J. Sel. Top. Signal Process., 2013
Reusable and Scalable Verification Environment for Memory Controllers.
Proceedings of the Progress in VLSI Design and Test - 16th International Symposium, 2012
Transmit power control with ARQ in energy harvesting sensors: A decision-theoretic approach.
Proceedings of the 2012 IEEE Global Communications Conference, 2012