6 citations · 10 across the 5 of their papers we have counts for
6 papers
DART: aDaptive Accept RejecT for non-linear top-K subset identification
Mridul Agarwal, Vaneet Aggarwal, Christopher J. Quinn +1
We consider the bandit problem of selecting out of arms at each time step. The reward can be a non-linear function of the rewards of the selected individual arms. The direc…
Stochastic Top- Subset Bandits with Linear Space and Non-Linear Feedback
Mridul Agarwal, Vaneet Aggarwal, Christopher J. Quinn +1
Many real-world problems like Social Influence Maximization face the dilemma of choosing the best out of options at a given time instant. This setup can be modeled as a com…
Bounded Degree Approximations of Stochastic Networks
Christopher J. Quinn, Ali Pinar, Negar Kiyavash
We propose algorithms to approximate directed information graphs. Directed information graphs are probabilistic graphical models that depict causal dependencies between stochastic…
Directed Information Graphs
Christopher J. Quinn, Negar Kiyavash, Todd P. Coleman
We propose a graphical model for representing networks of stochastic processes, the minimal generative model graph. It is based on reduced factorizations of the joint distribution…
Fingerprinting with Equiangular Tight Frames
Dustin G. Mixon, Christopher J. Quinn, Negar Kiyavash +1
Digital fingerprinting is a framework for marking media files, such as images, music, or movies, with user-specific signatures to deter illegal distribution. Multiple users can col…
Causal Dependence Tree Approximations of Joint Distributions for Multiple Random Processes
Christopher J. Quinn, Todd P. Coleman, Negar Kiyavash
We investigate approximating joint distributions of random processes with causal dependence tree distributions. Such distributions are particularly useful in providing parsimonious…