| 2022 | UAI | Bayesian spillover graphs for dynamic networks. | Grace Deng, David S. Matteson |
| 2022 | SDM | IB-GAN: A Unified Approach for Multivariate Time Series Classification under Class Imbalance. | Grace Deng, Cuize Han, Tommaso Dreossi, Clarence Lee, David S. Matteson |
| 2021 | ICLR | Graph-Based Continual Learning. | Binh Tang, David S. Matteson |
| 2021 | KDD | Risk Identification & Quantification in Complex Human-Natural Systems via Convergent Data Intensive Research. | Toryn L. J. Schafer, Ryan M. McGranaghan, Mila Getmansky Sherman, Mei-Ling E. Feng, Olukunle O. Owolabi, Sean E. Ryan, Marie-Christine Dker, Michael Jauch, David S. Matteson |
| 2019 | ICMLA | Independent Component Analysis Based on Mutual Dependence Measures. | Ze Jin, David S. Matteson, Tianrong Zhang |
| 2019 | SDM | ABACUS: Unsupervised Multivariate Change Detection via Bayesian Source Separation. | Wenyu Zhang, Daniel E. Gilbert, David S. Matteson |
| 2018 | UAI | Testing for Conditional Mean Independence with Covariates through Martingale Difference Divergence. | Ze Jin, Xiaohan Yan, David S. Matteson |
| 2017 | ICDM | Pruning and Nonparametric Multiple Change Point Detection. | Wenyu Zhang, Nicholas A. James, David S. Matteson |
| 2015 | KDD | Predicting Ambulance Demand: a Spatio-Temporal Kernel Approach. | Zhengyi Zhou, David S. Matteson |
| 2013 | ICASSP | Locally stationary vector processes and adaptive multivariate modeling. | David S. Matteson, Nicholas A. James, William B. Nicholson, Louis C. Segalini |