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]