44 citations · 364 across the 85 of their papers we have counts for
8 papers · 1 filter
Dependence Structure Analysis Of Meta-level Metrics in YouTube Videos: A Vine Copula Approach
Vikram Krishnamurthy, Yan Duan
This paper uses vine copula to analyze the multivariate statistical dependence in a massive YouTube dataset consisting of 6 million videos over 25 thousand channels. Specifically w…
Controlled Information Fusion with Risk-Averse CVaR Social Sensors
Sujay Bhatt, Vikram Krishnamurthy
Consider a multi-agent network comprised of risk averse social sensors and a controller that jointly seek to estimate an unknown state of nature, given noisy measurements. The netw…
Multiple Stopping Time POMDPs: Structural Results & Application in Interactive Advertising in Social Media
Vikram Krishnamurthy, Anup Aprem, Sujay Bhatt
This paper considers a multiple stopping time problem for a Markov chain observed in noise, where a decision maker chooses at most L stopping times to maximize a cumulative objecti…
Influence Maximization over Markovian Graphs: A Stochastic Optimization Approach
Buddhika Nettasinghe, Vikram Krishnamurthy
This paper considers the problem of randomized influence maximization over a Markovian graph process: given a fixed set of nodes whose connectivity graph is evolving as a Markov ch…
Controlled Sequential Information Fusion with Social Sensors
Sujay Bhatt, Vikram Krishnamurthy
A sequence of social sensors estimate an unknown parameter (modeled as a state of nature) by performing Bayesian Social Learning, and myopically optimize individual reward function…
Computing monotone policies for Markov decision processes: a nearly-isotonic penalty approach
Robert Mattila, Cristian R. Rojas, Vikram Krishnamurthy +1
This paper discusses algorithms for solving Markov decision processes (MDPs) that have monotone optimal policies. We propose a two-stage alternating convex optimization scheme that…
Asymptotically Efficient Identification of Known-Sensor Hidden Markov Models
Robert Mattila, Cristian R. Rojas, Vikram Krishnamurthy +1
We consider estimating the transition probability matrix of a finite-state finite-observation alphabet hidden Markov model with known observation probabilities. The main contributi…
POMDP Structural Results for Controlled Sensing
Vikram Krishnamurthy
This article provides a short review of some structural results in controlled sensing when the problem is formulated as a partially observed Markov decision process. In particular,…