Tianyang Li, Anastasios Kyrillidis, Liu Liu, Constantine Caramanis.
Approximate Newton-based statistical inference using only stochastic gradients.
Liu Liu, Yanyao Shen, Tianyang Li, Constantine Caramanis.
High Dimensional Robust Sparse Regression.
Tianyang Li, Liu Liu, Anastasios Kyrillidis, Constantine Caramanis.
Statistical inference using SGD.
The Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18). (selected for oral presentation)
Tianyang Li, Xinyang Yi, Constantine Caramanis, Pradeep Ravikumar.
Minimax Gaussian Classification & Clustering.
20th International Conference on Artificial Intelligence and Statistics (AISTATS 2017).
Tianyang Li, Adarsh Prasad, Pradeep Ravikumar.
Fast Classification Rates for High-dimensional Gaussian Generative Models.
Advances in Neural Information Processing 28 (NIPS 2015).
Tianyang Li, Harsh Pareek, Pradeep Ravikumar, Dhruv Balwada, Kevin Speer.
Tracking with ranked signals.
31st Conference on Uncertainty in Artificial Intelligence (UAI 2015). (selected for plenary presentation)