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Tianyang Li 李天阳
Tianyang Li 李天阳
The University of Texas at Austin
Verified email at cs.utexas.edu - Homepage
Title
Cited by
Cited by
Year
High dimensional robust sparse regression
L Liu, Y Shen, T Li, C Caramanis
International Conference on Artificial Intelligence and Statistics, 411-421, 2020
622020
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
532011
Statistical inference using SGD
T Li, L Liu, A Kyrillidis, C Caramanis
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
342018
Minimax Gaussian Classification & Clustering
T Li, X Yi, C Carmanis, P Ravikumar
Artificial Intelligence and Statistics, 1-9, 2017
172017
High dimensional robust estimation of sparse models via trimmed hard thresholding
L Liu, T Li, C Caramanis
CoRR, abs/1901.08237, 2019
162019
High Dimensional Robust M-Estimation: Arbitrary Corruption and Heavy Tails
L Liu, T Li, C Caramanis
arXiv preprint arXiv:1901.08237, 2019
102019
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
102015
Approximate Newton-based statistical inference using only stochastic gradients
T Li, A Kyrillidis, L Liu, C Caramanis
arXiv preprint arXiv:1805.08920, 2018
52018
Tracking with ranked signals.
T Li, HH Pareek, P Ravikumar, D Balwada, K Speer
UAI, 474-483, 2015
32015
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
12013
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
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Articles 1–12