Christopher John Quinn

10 papers at tracked venues · 8 at CORE A* · active 2024–2025

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Venues

ICML ×2 NeurIPS ×2 AAAI ×1 AAMAS ×1 AISTATS ×1 ASE ×1 CCS ×1 ICLR ×1

Frequent coauthors

Vaneet Aggarwal

×5

Guanyu Nie

×2

Mohammad Pedramfar

×2

Yididiya Y. Nadew

×2

Jiajun Chen

×1

Jin Tian

×1

Qin Yang

×1

Nicholas Stout

×1

Meisam Mohammady

×1

Han Wang

×1

Ayesha Samreen

×1

Yan Yan

×1

Papers

Causal Logistic Bandits with Counterfactual Fairness Constraints
ICML 2025 ·
Jiajun Chen
,
Jin Tian
, Christopher John Quinn
PLRV-O: Advancing Differentially Private Deep Learning via Privacy Loss Random Variable Optimization
CCS 2025 ·
Qin Yang
,
Nicholas Stout
,
Meisam Mohammady
,
Han Wang
,
Ayesha Samreen
, Christopher J. Quinn,
Yan Yan
,
Ashish Kundu
,
Yuan Hong
Stochastic k-Submodular Bandits with Full Bandit Feedback
AAMAS 2025 ·
Guanyu Nie
,
Vaneet Aggarwal
, Christopher John Quinn
Uniform Wrappers: Bridging Concave to Quadratizable Functions in Online Optimization
NeurIPS 2025 ·
Mohammad Pedramfar
, Christopher John Quinn,
Vaneet Aggarwal
Combinatorial Stochastic-Greedy Bandit
AAAI 2024 ·
Fares Fourati
, Christopher John Quinn,
Mohamed-Slim Alouini
,
Vaneet Aggarwal
Conditionally-Conjugate Gaussian Process Factor Analysis for Spike Count Data via Data Augmentation
ICML 2024 ·
Yididiya Y. Nadew
,
Xuhui Fan
, Christopher John Quinn
Gradient Methods for Online DR-Submodular Maximization with Stochastic Long-Term Constraints
NeurIPS 2024 ·
Guanyu Nie
,
Vaneet Aggarwal
, Christopher J. Quinn
Redundancy and Concept Analysis for Code-trained Language Models
ASE 2024 ·
Arushi Sharma
,
Zefu Hu
, Christopher J. Quinn,
Ali Jannesari
Unified Projection-Free Algorithms for Adversarial DR-Submodular Optimization
ICLR 2024 ·
Mohammad Pedramfar
,
Yididiya Y. Nadew
, Christopher John Quinn,
Vaneet Aggarwal
Unsupervised Change Point Detection in Multivariate Time Series
AISTATS 2024 ·
Daoping Wu
,
Suhas Gundimeda
,
Shaoshuai Mou
, Christopher J. Quinn