ML Anthology

Krishnamurthy, Vikram

6 publications

TMLR 2024 Controlling Federated Learning for Covertness Adit Jain, Vikram Krishnamurthy
JMLR 2023 Necessary and Sufficient Conditions for Inverse Reinforcement Learning of Bayesian Stopping Time Problems Kunal Pattanayak, Vikram Krishnamurthy
JMLR 2021 Langevin Dynamics for Adaptive Inverse Reinforcement Learning of Stochastic Gradient Algorithms Vikram Krishnamurthy, George Yin
ICML 2020 Fast and Consistent Learning of Hidden Markov Models by Incorporating Non-Consecutive Correlations Robert Mattila, Cristian Rojas, Eric Moulines, Vikram Krishnamurthy, Bo Wahlberg
JMLR 2020 Rationally Inattentive Inverse Reinforcement Learning Explains YouTube Commenting Behavior William Hoiles, Vikram Krishnamurthy, Kunal Pattanayak
NeurIPS 2017 Inverse Filtering for Hidden Markov Models Robert Mattila, Cristian Rojas, Vikram Krishnamurthy, Bo Wahlberg