| 2025 | CCS | PLRV-O: Advancing Differentially Private Deep Learning via Privacy Loss Random Variable Optimization. | Qin Yang, Nicholas Stout, Meisam Mohammady, Han Wang, Ayesha Samreen, Christopher J. Quinn, Yan Yan, Ashish Kundu, Yuan Hong |
| 2024 | AISTATS | Unsupervised Change Point Detection in Multivariate Time Series. | Daoping Wu, Suhas Gundimeda, Shaoshuai Mou, Christopher J. Quinn |
| 2023 | AISTATS | Randomized Greedy Learning for Non-monotone Stochastic Submodular Maximization Under Full-bandit Feedback. | Fares Fourati, Vaneet Aggarwal, Christopher J. Quinn, Mohamed-Slim Alouini |
| 2021 | AAAI | DART: Adaptive Accept Reject Algorithm for Non-Linear Combinatorial Bandits. | Mridul Agarwal, Vaneet Aggarwal, Abhishek Kumar Umrawal, Christopher J. Quinn |
| 2021 | ALT | Stochastic Top-K Subset Bandits with Linear Space and Non-Linear Feedback. | Mridul Agarwal, Vaneet Aggarwal, Christopher J. Quinn, Abhishek K. Umrawal |
| 2020 | ICASSP | Modeling Piece-Wise Stationary Time Series. | Daoping Wu, Suhas Gundimeda, Shaoshuai Mou, Christopher J. Quinn |
| 2020 | ISITA | Synergy and Redundancy Duality Between Gaussian Multiple Access and Broadcast Channels. | Xueyan Niu, Christopher J. Quinn |
| 2019 | ISIT | A Measure of Synergy, Redundancy, and Unique Information using Information Geometry. | Xueyan Niu, Christopher J. Quinn |
| 2016 | ISIT | Sparse approximations of directed information graphs. | Christopher J. Quinn, Ali Pinar, Jing Gao, Lu Su |
| 2016 | WSDM | Crowdsourcing High Quality Labels with a Tight Budget. | Qi Li, Fenglong Ma, Jing Gao, Lu Su, Christopher J. Quinn |
| 2013 | ISIT | Robust directed tree approximations for networks of stochastic processes. | Christopher J. Quinn, Jalal Etesami, Negar Kiyavash, Todd P. Coleman |
| 2013 | ISIT | Optimal bounded-degree approximations of joint distributions of networks of stochastic processes. | Christopher J. Quinn, Ali Pinar, Negar Kiyavash |
| 2011 | ICASSP | Equiangular tight frame fingerprinting codes. | Dustin G. Mixon, Christopher J. Quinn, Negar Kiyavash, Matthew Fickus |
| 2011 | ISIT | Equivalence between minimal generative model graphs and directed information graphs. | Christopher J. Quinn, Negar Kiyavash, Todd P. Coleman |
| 2010 | ISITA | Approximating discrete probability distributions with causal dependence trees. | Christopher J. Quinn, Todd P. Coleman, Negar Kiyavash |