Sotabase

Career

· Research Scientist, Lucent Bell Labs1998–2000
· Chancellor's Distinguished Professor, University of California, Berkeley1993–
· PhD in Statistics, University of California, Berkeley1990–
· MS in Statistics, University of California, Berkeley1987–
· BS in Mathematics, Peking University1984–
· Senior Advisor, Simons Institute for the Theory of Computing
· Assistant Professor, University of Wisconsin-Madison
· Visiting Assistant Professor, Yale University

Publications (252)

Definitions, methods, and applications in interpretable machine learning
Proceedings of the National Academy of Sciences of the United States of America · 2019
1,642
cited
A unified framework for high-dimensional analysis of $M$-estimators with decomposable regularizers
Neural Information Processing Systems · 2009
1,436
cited
Reconstructing Visual Experiences from Brain Activity Evoked by Natural Movies
Current Biology · 2011
980
cited
High-dimensional covariance estimation by minimizing ℓ1-penalized log-determinant divergence
2008
900
cited
Microvesicles secreted by macrophages shuttle invasion-potentiating microRNAs into breast cancer cells
Molecular Cancer · 2011
671
cited
Minimax Rates of Estimation for High-Dimensional Linear Regression Over q -Balls
IEEE Transactions on Information Theory · 2009
589
cited
Restricted Eigenvalue Properties for Correlated Gaussian Designs
Journal of machine learning research · 2010
520
cited
Statistical guarantees for the EM algorithm: From population to sample-based analysis
arXiv.org · 2014
516
cited
The eEF2 Kinase Confers Resistance to Nutrient Deprivation by Blocking Translation Elongation
Cell · 2013
387
cited
Early stopping for non-parametric regression: An optimal data-dependent stopping rule
Allerton Conference on Communication, Control, and Computing · 2011
321
cited
Iterative random forests to discover predictive and stable high-order interactions
Proceedings of the National Academy of Sciences of the United States of America · 2017
305
cited
Minimax-Optimal Rates For Sparse Additive Models Over Kernel Classes Via Convex Programming
Journal of machine learning research · 2010
294
cited
Robust, Lightweight, Hydrophobic and Fire Retarded Polyimide/MXene Aerogels for Effective Oil/Water Separation.
ACS Applied Materials and Interfaces · 2019
287
cited
Log-concave sampling: Metropolis-Hastings algorithms are fast!
Annual Conference Computational Learning Theory · 2018
281
cited
Interpretations are useful: penalizing explanations to align neural networks with prior knowledge
International Conference on Machine Learning · 2019
240
cited
Strengthening, toughing and thermally stable ultra-thin MXene nanosheets/polypropylene nanocomposites via nanoconfinement
2019
217
cited
Enhanced interphase between epoxy matrix and carbon fiber with carbon nanotube-modified silane coating
2014
193
cited
Highly Effective P–P Synergy of a Novel DOPO-Based Flame Retardant for Epoxy Resin
2017
193
cited
Superheat: An R Package for Creating Beautiful and Extendable Heatmaps for Visualizing Complex Data
Journal of Computational And Graphical Statistics · 2015
189
cited
Economical and environment-friendly synthesis of a novel hyperbranched poly(aminomethylphosphine oxide-amine) as co-curing agent for simultaneous improvement of fire safety, glass transition temperature and toughness of epoxy resins
2017
188
cited
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