Some recent papers. [Download them from the link above]

  • V. Krishnamurthy, G. Yin, Multi-kernel Passive Stochastic Gradient Algorithms and Transfer Learning, IEEE Transactions Automatic Control, 2021 (13 pages).
  • V. Krishnamurthy, G. Yin, Langevin Dynamics for Adaptive Inverse Reinforcement Learning of Stochastic Gradient Algorithms, Journal of Machine Learning Research, Vol.22. 2021 (49 pages).
  • B. Nettasinghe, V. Krishnamurthy, Maximum Likelihood Estimation of Power-law Degree Distributions via Friendship Paradox based Sampling, ACM Transactions on Knowledge Discovery from Data, 2021 (28 pages).
  • G. Joseph, B. Nettasinghe, V. Krishnamurthy, P. Varshney, Controllability of Network Opinion in Erdos-Renyi Graphs Using Sparse Control Inputs, SIAM Journal Control & Optimization, 2021 (25 pages).
  • V. Krishnamurthy, Quickest Change Detection of Time Inconsistent Anticipatory Agents. Human-Sensor and Cyber-Physical Systems, IEEE Transactions Signal Processing, 16 pages, 2021.
  • V. Krishnamurthy, K. Pattanayak, S. Gogineni, B. Kang, M. Rangaswamy, Adversarial Radar Inference: Inverse Tracking, Identifying Cognition and Designing Smart Interference, IEEE Transactions Aerospace and Electronic Systems, 2021 (14 pages).
  • N. Alipourfard, B. Nettasinghe, A Abeliuk, V. Krishnamurthy, K Lerman, Friendship Paradox Biases Perceptions in Directed Networks, Nature Communications, Vol.11, pp.1–9, Feb, 2020.
  • V. Krishnamurthy, Convex Stochastic Dominance in Bayesian Localization, Filtering and Controlled Sensing POMDPs, IEEE Transactions Information Theory, Vol.66, No.5, pp.3187–3201, May 2020.