J. C. Duchi, M. I. Jordan and M. J. Wainwright (2014).
Privacy aware learning
Journal of the ACM, Volume 61(6), November 2014. Presented in part at
the NIPS Conference, December 2012.
R. Dwivedi, Y. Chen, M. J. Wainwright and B. Yu,
TITLE = "Log-concave sampling: {M}etropolis-{H}astings algorithms are fast.",
YEAR = 2018,
ADDRESS = "Stockholm, Sweden",
BOOKTITLE = "COLT: Conference on Computational Learning Theory
G. Raskutti, M. J. Wainwright and B. Yu. (2009)
Lower bounds on minimax rates for nonparametric regression with
additive smoothness and sparsity.
NIPS paper. Appeared at the NIPS Conference, Vancouver, Canada. December 2009.
M. J. Wainwright, and M. I. Jordan.
Variational inference in graphical models: The view from the marginal
polytope. Invited paper; Allerton Conference on
Communication, Control, and Computing; October 1--3, 2003;
Urbana-Champaign, IL
M. J. Wainwright, and M. I. Jordan. Graphical
models, exponential families, and variational inference. UC
Berkeley, Dept. of Statistics, Technical Report 649. September, 2003.
M. J. Wainwright, T. Jaakkola and A. S. Willsky.
Exact MAP estimates by (hyper)tree agreement. NIPS conference; December, 2002; Vancouver, BC, Canada.
M. J. Wainwright, T. Jaakkola and A. S. Willsky.
MAP estimation via agreement on (hyper)trees: Message-passing
and linear programming approaches.
Allerton Conference on Communication, Control,
and Computing; October 2--4, 2002; Urbana-Champaign, IL
M. J. Wainwright,
E. Sudderth and A. S. Willsky.
Presented at the Conference on Neural Information Processing Systems
(NIPS). Denver, CO. Nov. 28--30, 2000.
UC Berkeley Department of Statistics, Technical Report 695, October 2005.
X. Nguyen, M. J. Wainwright and M. I. Jordan.
43rd Annual Allerton Conference on Communication, Control and Computing, IL, September 2005.
X. Nguyen, M. J. Wainwright and M. I Jordan.
Nonparametric decentralized detection using kernel methods.
IEEE Transactions on Signal Processing, Vol. 53(11),
pages 4053--4066. November 2005.
IEEE Signal Processing Outstanding Young Author Award (XuanLong Nguyen)
Fifth International Conference on Information Processing in Sensor
Networks (IPSN), Nashville, TN. April 2006.
M. Cetin, L. Chen, J. Fisher, A. Ihler, R. Moses,
M. J. Wainwright and A. S. Willsky (2006).
Distributed fusion in sensor networks. IEEE Signal Processing Magazine, July 2006.
X. Nguyen, M. J. Wainwright and M. I Jordan.
Nonparametric decentralized detection using kernel methods.
IEEE Transactions on Signal Processing, Vol. 53(11),
pages 4053--4066. November 2005.
IEEE Signal Processing Outstanding Young Author Award (XuanLong Nguyen)
Preliminary versions:
X. Nguyen, M. J. Wainwright and M. I Jordan.
Decentralized detection and classification using kernel methods.
Proceedings of the International Conference on Machine Learning,
July
2004. Outstanding Student Paper Award (XuanLong Nguyen)
A. Pananjady, M. J. Wainwright and T. Courtade (2017)
Denoising linear models with permuted data.
Arxiv pre-print, April 2017. Presented in part at ISIT 2017,
Aachen, Germany. July 2017.
N. B. Shah, J. Bradley, A. Parekh, M. J. Wainwright, and K. Ramchandran (2013).
A Case for Ordinal Peer-evaluation in MOOCs.
Neural Information Processing Systems (NIPS): Workshop on Data Driven Education, Lake Tahoe, Dec. 2013.
A. Dimakis, B. Godfrey, M. J. Wainwright and
K. Ramchandran (2010),
Network Coding for Distributed Storage Systems,
IEEE Transactions on Information Theory. 56(9):4539--4551, September 2010.
IEEE Communications Society, Best Paper Award (2010)
Preliminary version: Appeared in Proceedings of INFOCOM 2007,
Anchorage, Alaska. May 2007.
E. Martinian and M. J. Wainwright, Analysis of
LDGM and compound codes for lossy compression and binning. Workshop on Information Theory and its
Applications, San Diego, CA. February 2006.
M. J. Wainwright and E. Maneva, Lossy source coding via
message-passing and decimation over generalized codewords of LDGM codes.
Presented at the International Symposium on Information Theory, Adelaide, Australia.
September, 2005.
Z. Zhang, L. Dolecek, V. Anantharam, M. J. Wainwright, and B. Nikolic,
Quantization Effects in Low-Density Parity-Check Decoders,
IEEE International Conference on Communications (ICC), Glasgow,
United Kingdom, June 2007, pp. 6231-6237.
Z. Zhang, L. Dolecek, B. Nikolic, V. Anantharam, and
M. J. Wainwright. Investigation of error floors of structured
low-density parity-check codes by hardware emulation.
Proceedings of IEEE Globecom, San Francisco, CA, November 2006.
P. Lee, L. Dolecek, Z. Zhang, V. Anantharam, B. Nikolic and M. J .
Wainwright, Error Floors in LDPC Codes: Fast Simulation, Bounds and Hardware Emulation.
IEEE International Symposium on Information Theory (ISIT 2008), Toronto, Canada, July 2008.
Full Text (PDF)
Department of Statistics, Technical Report 730, April 2007.
M. J. Wainwright and E. Martinian, Low-density constructions can
achieve the Wyner-Ziv and Gelfand-Pinsker bounds.
International Symposium on Information Theory, Seattle, WA. July 2006.
Full Text (151K pdf)
E. Martinian and M. J. Wainwright, Low-density
codes achieve the rate-distortion bound. Data Compression Conference, Snowbird, UT. March 2006.
Full Text (191K pdf)
Preliminary version:
Analysis of Absorbing Sets for Array-Based LDPC Codes,
IEEE International Conference on Communications (ICC), Glasgow,
United Kingdom, June 2007, pp. 6261-6268.
and M. Wainwright,
Using linear programming to decode LDPC codes.
Conference on Information Sciences and
Systems, Baltimore, March 2003.
J. Feldman, D. Karger
and M. Wainwright,
Linear programming-based decoding of turbo-like codes and its relation
to iterative approaches.
Presented at the Allerton Conference on Communication, Control,
and Computing; October 2--4, 2002; Urbana-Champaign, IL.
J. Portilla, V. Strela, M. J. Wainwright and E.P. Simoncelli.
Adaptive Wiener denoising using a Gaussian scale mixture model in
the wavelet domain.
Proceedings of the 8th International Conference on Image Processing.
October, 2001; Greece.
M. J. Wainwright,
E. P. Simoncelli and A. S. Willsky. Random cascades on
wavelet trees and their use in analyzing and modeling natural images.
Invited Paper; Published in Proceedings of the 45th Annual Meeting of the SPIE.
San Diego, CA; July 30 -- August 4, 2000.
M. J. Wainwright, E. P. Simoncelli and A. S. Willsky.
Random cascades of Gaussian scale mixtures and their use in modeling natural images with application to denoising.
Proceedings of the 7th International Conference on Image Processing.
Vancouver, BC, Canada. 10-13 September 2000.
M. J. Wainwright, "Stochastic Processes on Graphs: Geometric and Variational
Approaches", Ph.D. Thesis, Department of EECS, Massachusetts Institute of
Technology, 2002.
Full Text (3.9M, pdf)