Christopher J. Quinn

42 papers A* 4A 3B 6C 2Misc 2Journal 20Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Lap2: Revisiting Laplace DP-SGD for High Dimensions via Majorization Theory. CoRR Meisam Mohammady, Qin Yang, Nicholas Stout, Ayesha Samreen, Han Wang, Christopher J. Quinn, Yuan Hong
2025	J	`jnl`	Analyzing Latent Concepts in Code Language Models. CoRR Arushi Sharma, Vedant Pungliya, Christopher J. Quinn, Ali Jannesari
2025	A*	`conf`	PLRV-O: Advancing Differentially Private Deep Learning via Privacy Loss Random Variable Optimization. CCS Qin Yang, Nicholas Stout, Meisam Mohammady, Han Wang, Ayesha Samreen, Christopher J. Quinn, Yan Yan, Ashish Kundu, Yuan Hong
2025	J	`jnl`	PLRV-O: Advancing Differentially Private Deep Learning via Privacy Loss Random Variable Optimization. CoRR Qin Yang, Nicholas Stout, Meisam Mohammady, Han Wang, Ayesha Samreen, Christopher J. Quinn, Yan Yan, Ashish Kundu, Yuan Hong
2024	J	`jnl`	Conditionally-Conjugate Gaussian Process Factor Analysis for Spike Count Data via Data Augmentation. CoRR Yididiya Y. Nadew, Xuhui Fan, Christopher J. Quinn
2024	A*	`conf`	Gradient Methods for Online DR-Submodular Maximization with Stochastic Long-Term Constraints. NeurIPS Guanyu Nie, Vaneet Aggarwal, Christopher J. Quinn
2024	J	`jnl`	Learning Coupled Subspaces for Multi-Condition Spike Data. CoRR Yididiya Y. Nadew, Xuhui Fan, Christopher J. Quinn
2024	—	`conf`	Redundancy and Concept Analysis for Code-trained Language Models. ASE Workshops Arushi Sharma, Zefu Hu, Christopher J. Quinn, Ali Jannesari
2024	J	`jnl`	Unified Projection-Free Algorithms for Adversarial DR-Submodular Optimization. CoRR Mohammad Pedramfar, Yididiya Y. Nadew, Christopher J. Quinn, Vaneet Aggarwal
2024	A	`conf`	Unsupervised Change Point Detection in Multivariate Time Series. AISTATS Daoping Wu, Suhas Gundimeda, Shaoshuai Mou, Christopher J. Quinn
2023	J	`jnl`	A Community-Aware Framework for Social Influence Maximization. IEEE Trans. Emerg. Top. Comput. Intell. Abhishek K. Umrawal, Christopher J. Quinn, Vaneet Aggarwal
2023	A*	`conf`	A Unified Approach for Maximizing Continuous DR-submodular Functions. NeurIPS Mohammad Pedramfar, Christopher J. Quinn, Vaneet Aggarwal
2023	—	`conf`	Fractional Budget Allocation for Influence Maximization. CDC Abhishek K. Umrawal, Vaneet Aggarwal, Christopher J. Quinn
2023	J	`jnl`	Interpreting Pretrained Source-code Models using Neuron Redundancy Analyses. CoRR Arushi Sharma, Zefu Hu, Christopher J. Quinn, Ali Jannesari
2023	A	`conf`	Randomized Greedy Learning for Non-monotone Stochastic Submodular Maximization Under Full-bandit Feedback. AISTATS Fares Fourati, Vaneet Aggarwal, Christopher J. Quinn, Mohamed-Slim Alouini
2021	A*	`conf`	DART: Adaptive Accept Reject Algorithm for Non-Linear Combinatorial Bandits. AAAI Mridul Agarwal, Vaneet Aggarwal, Abhishek Kumar Umrawal, Christopher J. Quinn
2021	—	`conf`	Information Flow in Markov Chains. CDC Xueyan Niu, Christopher J. Quinn
2021	J	`jnl`	Stochastic Top Trans. Data Sci. Mridul Agarwal, Vaneet Aggarwal, Abhishek K. Umrawal, Christopher J. Quinn
2021	B	`conf`	Stochastic Top-K Subset Bandits with Linear Space and Non-Linear Feedback. ALT Mridul Agarwal, Vaneet Aggarwal, Christopher J. Quinn, Abhishek K. Umrawal
2020	J	`jnl`	DART: aDaptive Accept RejecT for non-linear top-K subset identification. CoRR Mridul Agarwal, Vaneet Aggarwal, Christopher J. Quinn, Abhishek K. Umrawal
2020	Misc	`conf`	Modeling Piece-Wise Stationary Time Series. ICASSP Daoping Wu, Suhas Gundimeda, Shaoshuai Mou, Christopher J. Quinn
2020	C	`conf`	Synergy and Redundancy Duality Between Gaussian Multiple Access and Broadcast Channels. ISITA Xueyan Niu, Christopher J. Quinn
2019	B	`conf`	A Measure of Synergy, Redundancy, and Unique Information using Information Geometry. ISIT Xueyan Niu, Christopher J. Quinn
2017	J	`jnl`	Bounded-Degree Connected Approximations of Stochastic Networks. IEEE Trans. Mol. Biol. Multi Scale Commun. Christopher J. Quinn, Ali Pinar, Negar Kiyavash
2016	A	`conf`	Crowdsourcing High Quality Labels with a Tight Budget. WSDM Qi Li, Fenglong Ma, Jing Gao, Lu Su, Christopher J. Quinn
2016	—	`conf`	On sparse approximations for time-series networks. Allerton Christopher J. Quinn
2016	B	`conf`	Sparse approximations of directed information graphs. ISIT Christopher J. Quinn, Ali Pinar, Jing Gao, Lu Su
2015	J	`jnl`	Bounded Degree Approximations of Stochastic Networks. CoRR Christopher J. Quinn, Ali Pinar, Negar Kiyavash
2015	J	`jnl`	Directed Information Graphs. IEEE Trans. Inf. Theory Christopher J. Quinn, Negar Kiyavash, Todd P. Coleman
2014	J	`jnl`	Dynamic and Succinct Statistical Analysis of Neuroscience Data. Proc. IEEE Sanggyun Kim, Christopher J. Quinn, Negar Kiyavash, Todd P. Coleman
2013	J	`jnl`	Efficient Methods to Compute Optimal Tree Approximations of Directed Information Graphs. IEEE Trans. Signal Process. Christopher J. Quinn, Negar Kiyavash, Todd P. Coleman
2013	J	`jnl`	Fingerprinting With Equiangular Tight Frames. IEEE Trans. Inf. Theory Dustin G. Mixon, Christopher J. Quinn, Negar Kiyavash, Matthew Fickus
2013	B	`conf`	Optimal bounded-degree approximations of joint distributions of networks of stochastic processes. ISIT Christopher J. Quinn, Ali Pinar, Negar Kiyavash
2013	B	`conf`	Robust directed tree approximations for networks of stochastic processes. ISIT Christopher J. Quinn, Jalal Etesami, Negar Kiyavash, Todd P. Coleman
2012	J	`jnl`	Directed Information Graphs CoRR Christopher J. Quinn, Negar Kiyavash, Todd P. Coleman
2011	—	`conf`	A minimal approach to causal inference on topologies with bounded indegree. CDC/ECC Christopher J. Quinn, Negar Kiyavash, Todd P. Coleman
2011	J	`jnl`	Causal Dependence Tree Approximations of Joint Distributions for Multiple Random Processes CoRR Christopher J. Quinn, Todd P. Coleman, Negar Kiyavash
2011	Misc	`conf`	Equiangular tight frame fingerprinting codes. ICASSP Dustin G. Mixon, Christopher J. Quinn, Negar Kiyavash, Matthew Fickus
2011	B	`conf`	Equivalence between minimal generative model graphs and directed information graphs. ISIT Christopher J. Quinn, Negar Kiyavash, Todd P. Coleman
2011	J	`jnl`	Estimating the directed information to infer causal relationships in ensemble neural spike train recordings. J. Comput. Neurosci. Christopher J. Quinn, Todd P. Coleman, Negar Kiyavash, Nicholas G. Hatsopoulos
2011	J	`jnl`	Fingerprinting with Equiangular Tight Frames CoRR Dustin G. Mixon, Christopher J. Quinn, Negar Kiyavash, Matthew Fickus
2010	C	`conf`	Approximating discrete probability distributions with causal dependence trees. ISITA Christopher J. Quinn, Todd P. Coleman, Negar Kiyavash