Selected Publications

Preprints & Publications

. Fisher-Rao Metric, Geometry, and Complexity of Neural Networks. arXiv:1711.01530, 2017.

Preprint Project Project Blog

. Adaptive Feature Selection: Computationally Efficient Online Sparse Linear Regression under RIP. Journal of Machine Learning Research W&CP, vol.70 (ICML), 1780-1788, 2017.

Preprint PDF Project Project

. Computational and Statistical Boundaries for Submatrix Localization in a Large Noisy Matrix. The Annals of Statistics, vol.45, no.4, 1403-1430, 2017.

Preprint PDF Project

. On Detection and Structural Reconstruction of Small-World Random Networks. IEEE Transactions on Network Science and Engineering, vol.4, no.3, 165-176, 2017.

Preprint PDF Project

. Geometric Inference for General High-Dimensional Linear Inverse Problems. The Annals of Statistics, vol.44, no.4, 1536-1563, 2016.

Preprint PDF Project

. Escaping the Local Minima via Simulated Annealing: Optimization of Approximately Convex Functions. Journal of Machine Learning Research W&CP, vol.40 (COLT), 240–265, 2015.

Preprint PDF Project

. Learning with Square Loss: Localization through Offset Rademacher Complexity. Journal of Machine Learning Research W&CP, vol.40 (COLT), 1260–1285, 2015.

Preprint PDF Project

Recent & Upcoming Talks

Apr 4, 2018 12:00 AM
Mar 23, 2018 12:00 AM
Oct 20, 2017 2:00 PM


Chicago Booth:


  • Spring 14, 15: Advanced Quantitative Modeling (STAT622, MBA), TA