Research

Machine Learning

• Liu Liu, Tianyang Li, Constantine Caramanis.
  High Dimensional Robust Estimation of Sparse Models via Trimmed Hard Thresholding.
  

• 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 (NeurIPS 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)

Bioinformatics