2009 Research Summary - 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
- Distributed Estimation in Sensor Networks
Ram Rajagopal and Martin Wainwright - High-Dimensional Analysis of Semidefinite Relaxations for Sparse Principal Components
Martin Wainwright - High-Dimensional Statistical Inference, Sparse Modeling
Bin Yu and 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 l1,∞-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