Research Projects - Martin Wainwright
Large Projects
- Design of LDPC Decoders for Low Error Rate Performance
Zhengya Zhang, Pamela Lee, Lara Dolecek, Borivoje Nikolic, Venkat Anantharam and Martin Wainwright - Error Floor Prediction of LDPC Codes
Pamela Lee, Lara Dolecek, Zhengya Zhang, Venkat Anantharam, Martin Wainwright, Borivoje Nikolic and Sudeep Kamath - Statistical Machine Learning
Michael Jordan, Lior Pachter, Peter Bartlett and Martin Wainwright
Small Projects
- Computational complexity of statistical estimation
Alekh Agarwal, Peter Bartlett, Pradeep Ravikumar and Martin Wainwright - Distributed Estimation in Sensor Networks
Ram Rajagopal and Martin Wainwright - High Dimensional Statistical Inference, Sparse Modeling
Bin Yu and Martin Wainwright - High-dimensional analysis of semidefinite relaxations for sparse principal components\
Martin Wainwright - High-dimensional subset recovery in noise: Sparsified measurements without loss of statistical efficiency
Christian Ladapo Omidiran and Martin Wainwright - Information-theoretic limits on sparse signal recovery: Dense versus sparse measurement matrices
Wei Wang, Martin Wainwright and Kannan Ramchandran - Joint support recovery under high-dimensional scaling: Benefits and perils of $\ell_{1,\infty}$-regularization
Martin Wainwright and Sahand N Negahban - Lower Bounds on the Rate-Distortion Function of LDGM Codes
Georgios Alexandros Dimakis, Martin Wainwright and Kannan Ramchandran - Network Coding for Distributed Storage in Data Centers and Peer-to-Peer Networks
Georgios Alexandros Dimakis, Philip Brighten Godfrey, Kannan Ramchandran, Martin Wainwright and Yunnan Wu - Probabilistic Analysis of Linear Programming Decoding
Konstantinos Daskalakis, Georgios Alexandros Dimakis, Richard M. Karp and Martin Wainwright
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