Research Publications

43+ publications spanning machine learning, statistics, and interdisciplinary applications

43+
Publications
18+
Journal Papers
15+
NeurIPS/ICML

🎓 Educational AI & Assessment

BanditCAT and AutoIRT: Machine Learning Approaches to Computerized Adaptive Testing and Item Calibration
James Sharpnack, Kevin Hao, Phoebe Mulcaire, Klinton Bicknell, Geoff LaFlair, Kevin Yancey, Alina A von Davier
Large Foundation Models for Educational Assessment (PMLR) Workshop2025
Detecting LLM-assisted cheating on open-ended writing tasks on language proficiency tests
Chenhao Niu, Kevin Yancey, Ruidong Liu, Mirza Baig, André Horie, James Sharpnack
EMNLP Industry Track Industry2024
AI for Education at AAAI 2024: Bridging Innovation and Responsibility
Muktha Ananda, Debshila Basu Malick, Jill Burstein, Lydia T Liu, Zitao Liu, James Sharpnack, Zichao Wang, Serena Wang
AAAI AI for Education Workshop (PMLR) Workshop2024
Preface: Innovation and Responsibility in AI-Supported Education
Debshila Basu Mallick, Jill Burstein, Simon Woodhead, James Sharpnack, Zichao Wang
Innovation and Responsibility in AI-Supported Education (PMLR) Editorial2025

🏢 Industry-Scale Machine Learning

Syndicated Bandits: A Framework for Auto Tuning Hyper-parameters in Contextual Bandit Algorithms
Qin Ding, Yi-Wei Liu, Cho-Jui Hsieh, James Sharpnack
Advances in Neural Information Processing Systems (NeurIPS) NeurIPS2022
Robust stochastic linear contextual bandits under adversarial attacks
Qin Ding, Cho-Jui Hsieh, James Sharpnack
International Conference on Artificial Intelligence and Statistics (AISTATS) AISTATS2022
SSE-PT: Sequential recommendation via personalized transformer
Liwei Wu, Shuqing Li, Cho-Jui Hsieh, James Sharpnack
ACM Conference on Recommender Systems RecSys2020
Graph DNA: Deep neighborhood aware graph encoding for collaborative filtering
Liwei Wu, Hsiang-Fu Yu, Nikhil Rao, James Sharpnack, Cho-Jui Hsieh
International Conference on Artificial Intelligence and Statistics (AISTATS) AISTATS2020
RLSBench: Domain adaptation under relaxed label shift
Saurabh Garg, Nick Erickson, James Sharpnack, Alex Smola, Sivaraman Balakrishnan, Zachary Chase Lipton
International Conference on Machine Learning (ICML) ICML2023
Multimodal AutoML for Image, Text and Tabular Data
Nick Erickson, Xingjian Shi, James Sharpnack, Alexander Smola
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining KDD2022
An efficient algorithm for generalized linear bandit: Online stochastic gradient descent and thompson sampling
Qin Ding, Cho-Jui Hsieh, James Sharpnack
International Conference on Artificial Intelligence and Statistics (AISTATS) AISTATS2021
Stochastic Shared Embeddings: Data-driven Regularization of Embedding Layers
Liwei Wu, Shuqing Li, Cho-Jui Hsieh, James L Sharpnack
Advances in Neural Information Processing Systems (NeurIPS) NeurIPS2019
SQL-Rank: A Listwise Approach to Collaborative Ranking
Liwei Wu, Cho-Jui Hsieh, James Sharpnack
International Conference on Machine Learning (ICML) ICML2018
Large-scale Collaborative Ranking in Near-Linear Time
Liwei Wu, Cho-Jui Hsieh, James Sharpnack
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining KDD2017

🦠 Public Health & Epidemiology

Wastewater-based epidemiology for COVID-19: Handling qPCR nondetects and comparing spatially granular wastewater and clinical data trends
Hannah Safford, Rogelio E Zuniga-Montanez, Minji Kim, Xiaoliu Wu, Lifeng Wei, James Sharpnack, Karen Shapiro, Heather N Bischel
ACS ES&T Water Journal2022
Beyond Cases and Deaths: The Benefits of Auxiliary Data Streams in Tracking the COVID-19 Pandemic
Daniel J McDonald, Jacob Bien, Alden Green, Addison J Hu, Nat DeFries, Sangwon Hyun, Natalia L Oliveira, James Sharpnack, Jingjing Tang, Robert Tibshirani, et al.
Proceedings of the National Academy of Sciences PNAS2021
An open repository of real-time COVID-19 indicators
Alex Reinhart, Logan Brooks, Maria Jahja, Aaron Rumack, Jingjing Tang, Sumit Agrawal, Wael Al Saeed, Taylor Arnold, Amartya Basu, Jacob Bien, et al.
Proceedings of the National Academy of Sciences PNAS2021
The impact of COVID-19 vaccination on California's return to normalcy
Maria L Daza-Torres, Yury E García, Alec J Schmidt, Brad H Pollock, James Sharpnack, Miriam Nuño
PLoS One Journal2022
Impact of sensor data pre-processing strategies and selection of machine learning algorithm on the prediction of metritis events in dairy cattle
Gema Vidal, James Sharpnack, Pablo Pinedo, I Ching Tsai, Amanda Renee Lee, Beatriz MartĂ­nez-LĂłpez
Preventive Veterinary Medicine Journal2023
Comparative performance analysis of three machine learning algorithms applied to sensor data registered by a leg-attached accelerometer to predict metritis events in dairy cattle
Gema Vidal, James Sharpnack, Pablo Pinedo, I Ching Tsai, Amanda Renee Lee, Beatriz MartĂ­nez-LĂłpez
Frontiers in Animal Science Journal2023

🌌 Astronomical Discovery

An Unsupervised Hunt for Gravitational Lenses
Stephen Sheng, Keerthi Vasan GC, Chi Po P Choi, James Sharpnack, Tucker Jones
International Conference on Artificial Intelligence and Statistics (AISTATS) AISTATS2022
Optimizing machine learning methods to discover strong gravitational lenses in the deep lens survey
Vasan GC Keerthi, Stephen Sheng, Tucker Jones, Chi Po Choi, James Sharpnack
Monthly Notices of the Royal Astronomical Society Journal2023

đź“Š Statistical Theory & Methods

Trend filtering on graphs
Yu-Xiang Wang, James Sharpnack, Alexander J Smola, Ryan J Tibshirani
Journal of Machine Learning Research (JMLR) JMLR2016
Near-optimal anomaly detection in graphs using Lovász extended scan statistic
James L Sharpnack, Akshay Krishnamurthy, Aarti Singh
Advances in Neural Information Processing Systems (NeurIPS) NeurIPS2013
Exponential family trend filtering on lattices
Veeranjaneyulu Sadhanala, Robert Bassett, James Sharpnack, Daniel J McDonald
Electronic Journal of Statistics Journal2024
On L2-consistency of Nearest Neighbor Matching
James Sharpnack
IEEE Transactions on Information Theory Journal2022
Fused Density Estimation: Theory and Methods
Robert Bassett, James Sharpnack
Journal of the Royal Statistical Society Series B JRSS-B2019
Adaptive nonparametric regression with the K-nearest neighbour fused lasso
Oscar Hernan Madrid Padilla, James Sharpnack, Yanzhen Chen, Daniela M Witten
Biometrika Journal2020
Learning Patterns for Detection with Multiscale Scan Statistics
James Sharpnack
Conference on Learning Theory (COLT) COLT2018
A Sharp Error Analysis for the Fused Lasso, with Application to Approximate Changepoint Screening
Kevin Lin, James L Sharpnack, Alessandro Rinaldo, Ryan J Tibshirani
Advances in Neural Information Processing Systems (NeurIPS) NeurIPS2017
Higher-Order Total Variation Classes on Grids: Minimax Theory and Trend Filtering Methods
Veeranjaneyulu Sadhanala, Yu-Xiang Wang, James L Sharpnack, Ryan J Tibshirani
Advances in Neural Information Processing Systems (NeurIPS) NeurIPS2017
The DFS fused lasso: Linear-time denoising over general graphs
Oscar Hernan Madrid Padilla, James G Scott, James Sharpnack, Ryan J Tibshirani
Journal of Machine Learning Research (JMLR) JMLR2017
Exact asymptotics for the scan statistic and fast alternatives
James Sharpnack, Ery Arias-Castro, et al.
Electronic Journal of Statistics Journal2016
Detecting anomalous activity on networks with the graph Fourier scan statistic
James Sharpnack, Alessandro Rinaldo, Aarti Singh
IEEE Transactions on Signal Processing Journal2016
Sparsistency of the edge lasso over graphs
James Sharpnack, Alessandro Rinaldo, Aarti Singh
International Conference on Artificial Intelligence and Statistics (AISTATS) AISTATS2012
Changepoint detection over graphs with the spectral scan statistic
James Sharpnack, Alessandro Rinaldo, Aarti Singh
International Conference on Artificial Intelligence and Statistics (AISTATS) AISTATS2012
Detecting activations over graphs using spanning tree wavelet bases
James Sharpnack, Akshay Krishnamurthy, Aarti Singh
International Conference on Artificial Intelligence and Statistics (AISTATS) AISTATS2013
Estimating Graphlet Statistics via Lifting
Kirill Paramonov, Dmitry Shemetov, James Sharpnack
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining KDD2019
Variance function estimation in high-dimensions
Mladen Kolar, James Sharpnack
International Conference on Machine Learning (ICML) ICML2012
Identifying graph-structured activation patterns in networks
James Sharpnack, Aarti Singh
Advances in Neural Information Processing Systems (NeurIPS) NeurIPS2010

🔬 Cross-cutting & Other Applications

Improving lung cancer diagnosis and survival prediction with deep learning and CT imaging
Xiawei Wang, James Sharpnack, Thomas CM Lee
PLoS One Journal2025
Proteogenomic Analysis of Surgically Resected Lung Adenocarcinoma
Michael F Sharpnack, Nilini Ranbaduge, Arunima Srivastava, Ferdinando Cerciello, Simona G Codreanu, Daniel C Liebler, Celine Mascaux, Wayne O Miles, Robert Morris, Jason E McDermott, James Sharpnack, et al.
Journal of Thoracic Oncology Journal2018
Psychological stress of bicycling with traffic: examining heart rate variability of bicyclists in natural urban environments
Dillon T Fitch, James Sharpnack, Susan L Handy
Transportation Research Part F: Traffic Psychology and Behaviour Journal2020