Publications

. Local Optimality and Generalization Guarantees for the Langevin Algorithm via Empirical Metastability. Journal of Machine Learning Research W&CP, vol.75 (COLT), 857-875, 2018.

Preprint PDF Project Project

. 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

. 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

. 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

Teaching

Booth:

Wharton:

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

Awards

  • George C. Tiao Faculty Fellowship, 2017-2018
    for research in computational and data science

  • J. Parker Memorial Bursk Award, 2016
    for excellence in research

  • Winkelman Fellowship, 2014-2017
    the highest honorific fellowship awarded by the Wharton School

Workshops & Talks

CREST
Mar 25, 2019 12:00 AM
DALI
Jan 5, 2019 12:00 AM
Duke
Sep 26, 2018 12:00 PM
KTH
Jul 6, 2018 8:00 AM
Cambridge
Jun 25, 2018 8:00 AM
HKUST
Jun 21, 2018 2:00 PM
CityU Hong Kong
Jun 21, 2018 8:30 AM
UChicago
Apr 9, 2018 4:30 PM
Princeton
Mar 23, 2018 3:00 PM
UIUC
Oct 20, 2017 2:00 PM

Contact