Instance-dependent Optimality in Statistical Decision-making
Wenlong Mou [2023]

Principled Statistical Approaches For Sampling and Inference in High Dimensions
Raaz Dwivedi [2021]

Statistics, computation, and adaptation in high dimensions
Ashwin Pananjady Martin [2020]

Statistics meets Optimization: Computational guarantees for statistical learning algorithms
Fanny Yang [2018]

Learning From People
Nihar Shah [2017]

Distributed machine learning with communication constraints
Yuchen Zhang [2016]

Fast Randomized Algorithms for Convex Optimization and Statistical Estimation
Mert Pilanci [2016]

Multiple Optimality Guarantees in Statistical Learning
John Duchi [2014]

Low-Complexity Message-Passing Algorithms for Distributed Computation
Nima Noorshams [2013]

Computational Trade-offs in Statistical Learning
Alekh Agarwal [2012]

Structured Estimation in High-Dimensions
Sahand N Negahban [2012]

High-dimensional Principal Component Analysis
Arash Ali Amini [2011]

Coding and Message-Passing for Large-Scale Storage and Inference
Georgios Alexandros Dimakis [2008]