activity
20162026
most citedUtility Change Point Detection in Online Social Media: A Revealed Preference Framework

23 citations · 38 across the 8 of their papers we have counts for

collaborators

8 papers

cs.LG2026

Structured Reinforcement Learning for Bayesian Persuasion : Application to Intelligent Interactive Driving

Merlin Paul, Anup Aprem

Interactive driving, wherein an intelligent lead vehicle equipped with real-time traffic data coordinates route choices of connected vehicles, offers a promising approach to dynami…

eess.SP2026

Inverse Learning assisted V2I Communication for Intent Based 6G ISAC Vehicular Networks

Anoop C, Anup Aprem

6G is expected to bring unprecedented advancements in the capabilities of vehicular networks. However, the advent of 6G will also introduce changes in the operation of vehicular co…

q-fin.CP2023

Bayesian framework for characterizing cryptocurrency market dynamics, structural dependency, and volatility using potential field

Anoop C, Neeraj Negi, Anup Aprem

Identifying the structural dependence between the cryptocurrencies and predicting market trend are fundamental for effective portfolio management in cryptocurrency trading. In this…

cs.GT2018★ 1 cited

A Bayesian optimization approach to compute the Nash equilibria of potential games using bandit feedback

Anup Aprem, Stephen J. Roberts

Computing Nash equilibria for strategic multi-agent systems is challenging for expensive black box systems. Motivated by the ubiquity of games involving exploitation of common reso…

eess.SY2017★ 2 cited

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…

math.ST2016★ 23 cited

Utility Change Point Detection in Online Social Media: A Revealed Preference Framework

Anup Aprem, Vikram Krishnamurthy

This paper deals with change detection of utility maximization behaviour in online social media. Such changes occur due to the effect of marketing, advertising, or changes in groun…

cs.SI2016★ 9 cited

Engagement dynamics and sensitivity analysis of YouTube videos

Wiliam Hoiles, Anup Aprem, Vikram Krishnamurthy

YouTube, with millions of content creators, has become the preferred destination for watching videos online. Through the Partner program, YouTube allows content creators to monetiz…

cs.SI2016★ 3 cited

Opportunistic Advertisement Scheduling in Live Social Media: A Multiple Stopping Time POMDP Approach

Vikram Krishnamurthy, Anup Aprem, Sujay Bhatt

Live online social broadcasting services like YouTube Live and Twitch have steadily gained popularity due to improved bandwidth, ease of generating content and the ability to earn…