| 2016 | Deterministic Column Sampling for Low-Rank Matrix Approximation: Nystrm vs. Incomplete Cholesky Decomposition. | Raajen Patel, Tom Goldstein, Eva L. Dyer, Azalia Mirhoseini, Richard G. Baraniuk |
| 2016 | Automatic Unsupervised Tensor Mining with Quality Assessment. | Evangelos E. Papalexakis |
| 2016 | ADMM for Training Sparse Structural SVMs with Augmented | P. Balamurugan, Anusha Posinasetty, Shirish K. Shevade |
| 2016 | Linear-time Detection of Non-linear Changes in Massively High Dimensional Time Series. | Hoang Vu Nguyen, Jilles Vreeken |
| 2016 | Flexibly Mining Better Subgroups. | Hoang Vu Nguyen, Jilles Vreeken |
| 2016 | Process Trace Clustering: A Heterogeneous Information Network Approach. | Phuong Nguyen, Aleksander Slominski, Vinod Muthusamy, Vatche Ishakian, Klara Nahrstedt |
| 2016 | Universal Dependency Analysis. | Hoang Vu Nguyen, Panagiotis Mandros, Jilles Vreeken |
| 2016 | Binary Classifier Calibration Using an Ensemble of Linear Trend Estimation. | Mahdi Pakdaman Naeini, Gregory F. Cooper |
| 2016 | Online Clustering of Multivariate Time-series. | Masud Moshtaghi, Christopher Leckie, James C. Bezdek |
| 2016 | Online Prediction of User Actions through an Ensemble Vote from Vector Representation and Frequency Analysis Models. | Changsung Moon, Dakota Medd, Paul Jones, Steve Harenberg, William Oxbury, Nagiza F. Samatova |
| 2016 | A Unified View of Localized Kernel Learning. | John Moeller, Sarathkrishna Swaminathan, Suresh Venkatasubramanian |
| 2016 | Modelling Recurrent Events for Improving Online Change Detection. | Alexandr V. Maslov, Mykola Pechenizkiy, Indre Zliobaite, Tommi Krkkinen |
| 2016 | Spatio-Temporal Tensor Analysis for Whole-Brain fMRI Classification. | Guixiang Ma, Lifang He, Chun-Ta Lu, Philip S. Yu, Linlin Shen, Ann B. Ragin |
| 2016 | Online Sparse Passive Aggressive Learning with Kernels. | Jing Lu, Peilin Zhao, Steven C. H. Hoi |
| 2016 | Regularized Parametric Regression for High-dimensional Survival Analysis. | Yan Li, Kevin S. Xu, Chandan K. Reddy |
| 2016 | Regularized Weighted Linear Regression for High-dimensional Censored Data. | Yan Li, Bhanukiran Vinzamuri, Chandan K. Reddy |
| 2016 | Learning Linear Dynamical Systems from Multivariate Time Series: A Matrix Factorization Based Framework. | Zitao Liu, Milos Hauskrecht |
| 2016 | Estimating Posterior Ratio for Classification: Transfer Learning from Probabilistic Perspective. | Song Liu, Kenji Fukumizu |
| 2016 | Kernelized Matrix Factorization for Collaborative Filtering. | Xinyue Liu, Charu C. Aggarwal, Yufeng Li, Xiangnan Kong, Xinyuan Sun, Saket Sathe |
| 2016 | Untitled record | Liangyue Li, Hanghang Tong, Jie Tang, Wei Fan |
| 2016 | Sparse Hybrid Variational-Gibbs Algorithm for Latent Dirichlet Allocation. | Ximing Li, Jihong Ouyang, Xiaotang Zhou |
| 2016 | Robust Unsupervised Feature Selection on Networked Data. | Jundong Li, Xia Hu, Liang Wu, Huan Liu |
| 2016 | A Spatial-Temporal Probabilistic Matrix Factorization Model for Point-of-Interest Recommendation. | Huayu Li, Richang Hong, Zhiang Wu, Yong Ge |
| 2016 | Uncovering Multiple Diffusion Networks Using the First-Hand Sharing Pattern. | Pei-Lun Liao, Chung-Kuang Chou, Ming-Syan Chen |
| 2016 | Euclidean Co-Embedding of Ordinal Data for Multi-Type Visualization. | Dung D. Le, Hady Wirawan Lauw |