Christopher J. Quinn

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 19

Top Topics

Influence Maximization

Sparse Approximations

Information Geometry

Top Venues

Publications

Daoping Wu, Suhas Gundimeda, Shaoshuai Mou, Christopher J. Quinn
Unsupervised Change Point Detection in Multivariate Time Series. AISTATS (2024)
Yididiya Y. Nadew, Xuhui Fan, Christopher J. Quinn
Conditionally-Conjugate Gaussian Process Factor Analysis for Spike Count Data via Data Augmentation. CoRR (2024)
Mohammad Pedramfar, Yididiya Y. Nadew, Christopher J. Quinn, Vaneet Aggarwal
Unified Projection-Free Algorithms for Adversarial DR-Submodular Optimization. CoRR (2024)
Abhishek K. Umrawal, Vaneet Aggarwal, Christopher J. Quinn
Fractional Budget Allocation for Influence Maximization. CDC (2023)
Abhishek K. Umrawal, Christopher J. Quinn, Vaneet Aggarwal
A Community-Aware Framework for Social Influence Maximization. IEEE Trans. Emerg. Top. Comput. Intell. 7 (4) (2023)
Fares Fourati, Vaneet Aggarwal, Christopher J. Quinn, Mohamed-Slim Alouini
Randomized Greedy Learning for Non-monotone Stochastic Submodular Maximization Under Full-bandit Feedback. AISTATS (2023)
Mohammad Pedramfar, Christopher J. Quinn, Vaneet Aggarwal
A Unified Approach for Maximizing Continuous DR-submodular Functions. NeurIPS (2023)
Xueyan Niu, Christopher J. Quinn
Information Flow in Markov Chains. CDC (2021)
Mridul Agarwal, Vaneet Aggarwal, Christopher J. Quinn, Abhishek K. Umrawal
Stochastic Top-K Subset Bandits with Linear Space and Non-Linear Feedback. ALT (2021)
Mridul Agarwal, Vaneet Aggarwal, Abhishek Kumar Umrawal, Christopher J. Quinn
DART: Adaptive Accept Reject Algorithm for Non-Linear Combinatorial Bandits. AAAI (2021)
Mridul Agarwal, Vaneet Aggarwal, Abhishek K. Umrawal, Christopher J. Quinn
-Subset Bandits with Linear Space and Non-Linear Feedback with Applications to Social Influence Maximization. Trans. Data Sci. 2 (4) (2021)
Daoping Wu, Suhas Gundimeda, Shaoshuai Mou, Christopher J. Quinn
Modeling Piece-Wise Stationary Time Series. ICASSP (2020)
Mridul Agarwal, Vaneet Aggarwal, Christopher J. Quinn, Abhishek K. Umrawal
DART: aDaptive Accept RejecT for non-linear top-K subset identification. CoRR (2020)
Xueyan Niu, Christopher J. Quinn
Synergy and Redundancy Duality Between Gaussian Multiple Access and Broadcast Channels. ISITA (2020)
Xueyan Niu, Christopher J. Quinn
A Measure of Synergy, Redundancy, and Unique Information using Information Geometry. ISIT (2019)
Christopher J. Quinn, Ali Pinar, Negar Kiyavash
Bounded-Degree Connected Approximations of Stochastic Networks. IEEE Trans. Mol. Biol. Multi Scale Commun. 3 (2) (2017)
Christopher J. Quinn, Ali Pinar, Jing Gao, Lu Su
Sparse approximations of directed information graphs. ISIT (2016)
Qi Li, Fenglong Ma, Jing Gao, Lu Su, Christopher J. Quinn
Crowdsourcing High Quality Labels with a Tight Budget. WSDM (2016)
Christopher J. Quinn
On sparse approximations for time-series networks. Allerton (2016)
Christopher J. Quinn, Negar Kiyavash, Todd P. Coleman
Directed Information Graphs. IEEE Trans. Inf. Theory 61 (12) (2015)
Christopher J. Quinn, Ali Pinar, Negar Kiyavash
Bounded Degree Approximations of Stochastic Networks. CoRR (2015)
Sanggyun Kim, Christopher J. Quinn, Negar Kiyavash, Todd P. Coleman
Dynamic and Succinct Statistical Analysis of Neuroscience Data. Proc. IEEE 102 (5) (2014)
Christopher J. Quinn, Ali Pinar, Negar Kiyavash
Optimal bounded-degree approximations of joint distributions of networks of stochastic processes. ISIT (2013)
Christopher J. Quinn, Jalal Etesami, Negar Kiyavash, Todd P. Coleman
Robust directed tree approximations for networks of stochastic processes. ISIT (2013)
Christopher J. Quinn, Negar Kiyavash, Todd P. Coleman
Efficient Methods to Compute Optimal Tree Approximations of Directed Information Graphs. IEEE Trans. Signal Process. 61 (12) (2013)
Dustin G. Mixon, Christopher J. Quinn, Negar Kiyavash, Matthew Fickus
Fingerprinting With Equiangular Tight Frames. IEEE Trans. Inf. Theory 59 (3) (2013)
Christopher J. Quinn, Negar Kiyavash, Todd P. Coleman
Directed Information Graphs CoRR (2012)
Christopher J. Quinn, Negar Kiyavash, Todd P. Coleman
A minimal approach to causal inference on topologies with bounded indegree. CDC/ECC (2011)
Christopher J. Quinn, Todd P. Coleman, Negar Kiyavash
Causal Dependence Tree Approximations of Joint Distributions for Multiple Random Processes CoRR (2011)
Christopher J. Quinn, Negar Kiyavash, Todd P. Coleman
Equivalence between minimal generative model graphs and directed information graphs. ISIT (2011)
Dustin G. Mixon, Christopher J. Quinn, Negar Kiyavash, Matthew Fickus
Fingerprinting with Equiangular Tight Frames CoRR (2011)
Christopher J. Quinn, Todd P. Coleman, Negar Kiyavash, Nicholas G. Hatsopoulos
Estimating the directed information to infer causal relationships in ensemble neural spike train recordings. J. Comput. Neurosci. 30 (1) (2011)
Dustin G. Mixon, Christopher J. Quinn, Negar Kiyavash, Matthew Fickus
Equiangular tight frame fingerprinting codes. ICASSP (2011)
Christopher J. Quinn, Todd P. Coleman, Negar Kiyavash
Approximating discrete probability distributions with causal dependence trees. ISITA (2010)