| 2020 | ICML | The Implicit Regularization of Stochastic Gradient Flow for Least Squares. | Alnur Ali, Edgar Dobriban, Ryan J. Tibshirani |
| 2019 | AISTATS | A Continuous-Time View of Early Stopping for Least Squares Regression. | Alnur Ali, J. Zico Kolter, Ryan J. Tibshirani |
| 2018 | AISTATS | Communication-Avoiding Optimization Methods for Distributed Massive-Scale Sparse Inverse Covariance Estimation. | Penporn Koanantakool, Alnur Ali, Ariful Azad, Aydin Bulu, Dmitriy Morozov, Leonid Oliker, Katherine A. Yelick, Sang-Yun Oh |
| 2017 | AISTATS | Generalized Pseudolikelihood Methods for Inverse Covariance Estimation. | Alnur Ali, Kshitij Khare, Sang-Yun Oh, Bala Rajaratnam |
| 2017 | ICML | A Semismooth Newton Method for Fast, Generic Convex Programming. | Alnur Ali, Eric Wong, J. Zico Kolter |
| 2015 | UAI | Disciplined Convex Stochastic Programming: A New Framework for Stochastic Optimization. | Alnur Ali, J. Zico Kolter, Steven Diamond, Stephen P. Boyd |
| 2014 | AAAI | Active Learning with Model Selection. | Alnur Ali, Rich Caruana, Ashish Kapoor |
| 2013 | ICDM | Robust Cost-Sensitive Confidence-Weighted Classification. | Alnur Ali, Kevyn Collins-Thompson |
| 2012 | EMNLP | Learning Lexicon Models from Search Logs for Query Expansion. | Jianfeng Gao, Shasha Xie, Xiaodong He, Alnur Ali |