| High dimensional robust sparse regression L Liu, Y Shen, T Li, C Caramanis International Conference on Artificial Intelligence and Statistics, 411-421, 2020 | 96 | 2020 |
| Statistical inference using SGD T Li, L Liu, A Kyrillidis, C Caramanis Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 63 | 2018 |
| Larx: Large-scale anti-phishing by retrospective data-exploring based on a cloud computing platform T Li, F Han, S Ding, Z Chen 2011 Proceedings of 20th International Conference on Computer Communications …, 2011 | 53 | 2011 |
| Minimax Gaussian Classification & Clustering T Li, X Yi, C Carmanis, P Ravikumar Artificial Intelligence and Statistics, 1-9, 2017 | 27 | 2017 |
| High Dimensional Robust M-Estimation: Arbitrary Corruption and Heavy Tails L Liu, T Li, C Caramanis arXiv preprint arXiv:1901.08237, 2019 | 21 | 2019 |
| High dimensional robust estimation of sparse models via trimmed hard thresholding L Liu, T Li, C Caramanis CoRR, abs/1901.08237, 2019 | 20 | 2019 |
| Fast classification rates for high-dimensional gaussian generative models T Li, A Prasad, PK Ravikumar Advances in Neural Information Processing Systems 28, 1054-1062, 2015 | 14 | 2015 |
| Approximate Newton-based statistical inference using only stochastic gradients T Li, A Kyrillidis, L Liu, C Caramanis arXiv preprint arXiv:1805.08920, 2018 | 7 | 2018 |
| Tracking with ranked signals. T Li, HH Pareek, P Ravikumar, D Balwada, K Speer UAI, 474-483, 2015 | 3 | 2015 |
| ExoPredicator: Learning Abstract Models of Dynamic Worlds for Robot Planning Y Liang, D Nguyen, C Yang, T Li, JB Tenenbaum, CE Rasmussen, ... arXiv preprint arXiv:2509.26255, 2025 | 1 | 2025 |
| Isoform reconstruction using short RNA-Seq reads by maximum likelihood is NP-hard T Li, R Jiang, X Zhang arXiv preprint arXiv:1305.0916, 2013 | 1 | 2013 |
| Smart predict-then-optimize-based model predictive control for Virtual Power Plants with battery storage W Zheng, L Liu, S Li, Z Zhang, P Zhao, T Li, X Zhang, Z Wang Journal of Energy Storage 142, 119606, 2026 | | 2026 |
| Statistical Inference without Excess Data Using Only Stochastic Gradients: Volume 1 T Li, L Liu, A Kyrillidis, C Caramanis | | 2020 |
| Stochastic gradients methods for statistical inference T Li | | 2019 |
Constantine CaramanisProfessor of Electrical and Computer Engineering, UT AustinVerified email at utexas.edu
