Sotabase

Career

· Faculty Member, University of California, Berkeley2023–
· Professor, UC Berkeley2004–
· Researcher, Berkeley Laboratory of Information and System Sciences (BLISS)

Publications (339)

Graphical Models, Exponential Families, and Variational Inference
Found. Trends Mach. Learn. · 2008
4,676
cited
Image denoising using scale mixtures of Gaussians in the wavelet domain
IEEE Transactions on Image Processing · 2003
2,515
cited
Statistical Learning with Sparsity: The Lasso and Generalizations
2015
2,387
cited
Network Coding for Distributed Storage Systems
IEEE INFOCOM 2007 - 26th IEEE International Conference on Computer Communications · 2007
2,082
cited
A unified framework for high-dimensional analysis of $M$-estimators with decomposable regularizers
Neural Information Processing Systems · 2009
1,436
cited
Sharp Thresholds for High-Dimensional and Noisy Sparsity Recovery Using $\ell _{1}$ -Constrained Quadratic Programming (Lasso)
IEEE Transactions on Information Theory · 2009
1,321
cited
Dual Averaging for Distributed Optimization: Convergence Analysis and Network Scaling
IEEE Transactions on Automatic Control · 2010
1,275
cited
Local Privacy and Statistical Minimax Rates
IEEE Annual Symposium on Foundations of Computer Science · 2013
1,239
cited
High-dimensional Ising model selection using ℓ1-regularized logistic regression
2010
980
cited
High-dimensional covariance estimation by minimizing ℓ1-penalized log-determinant divergence
2008
900
cited
Estimating Divergence Functionals and the Likelihood Ratio by Convex Risk Minimization
IEEE Transactions on Information Theory · 2008
872
cited
MAP estimation via agreement on trees: message-passing and linear programming
IEEE Transactions on Information Theory · 2005
712
cited
Learning to Explain: An Information-Theoretic Perspective on Model Interpretation
International Conference on Machine Learning · 2018
634
cited
High-Dimensional Statistics
2019
628
cited
Communication-efficient algorithms for statistical optimization
IEEE Conference on Decision and Control · 2012
600
cited
Estimation of (near) low-rank matrices with noise and high-dimensional scaling
International Conference on Machine Learning · 2009
592
cited
Minimax Rates of Estimation for High-Dimensional Linear Regression Over q -Balls
IEEE Transactions on Information Theory · 2009
589
cited
High-dimensional regression with noisy and missing data: Provable guarantees with non-convexity
Neural Information Processing Systems · 2011
579
cited
Scale Mixtures of Gaussians and the Statistics of Natural Images
Neural Information Processing Systems · 1999
573
cited
Regularized M-estimators with nonconvexity: statistical and algorithmic theory for local optima
Journal of machine learning research · 2013
551
cited
Sotabase