# Faculty Publications - Martin Wainwright

## Book chapters or sections

- M. Wainwright, P. Ravikumar, and J. D. Lafferty, "High-dimensional graphical model selection using l_1-regularized logistic regression," in
*Advances in Neural Information Processing Systems 19: Proc. 20th Annual Conf. (NIPS 2006)*, B. Scholkopf, J. Platt, and T. Hofmann, Eds., Neural Information Processing Systems, Vol. 19, Cambridge, MA: MIT Press, 2007, pp. 1465-1472. - M. Wainwright and M. Jordan, "A variational principle for graphical models," in
*New Directions in Statistical Signal Processing: From Systems to Brain*, S. Haykin, J. C. Principe, T. J. Sejnowski, and J. McWhirter, Eds., Neural Information Processing, Cambridge, MA: MIT Press, 2006, pp. 155-202. - M. Wainwright, "Estimating the "wrong" Markov random field: Benefits in the computation-limited setting," in
*Advances in Neural Information Processing Systems 18: Proc. 19th Annual Conf. (NIPS 2005)*, Y. Weiss, B. Scholkopf, and J. Platt, Eds., Neural Information Processing Systems, Vol. 18, Cambridge, MA: MIT Press, 2006, pp. 1425-1432. - X. Nguyen, M. Wainwright, and M. Jordan, "Divergences, surrogate loss functions and experimental design," in
*Advances in Neural Information Processing Systems 18: Proc. 19th Annual Conf. (NIPS 2005)*, Y. Weiss, B. Scholkopf, and J. Platt, Eds., Neural Information Processing Systems, Vol. 18, Cambridge, MA: MIT Press, 2006, pp. 1011-1018. - M. Wainwright and M. Jordan, "Semidefinite relaxations for approximate inference on graphs with cycles," in
*Advances in Neural Information Processing Systems 16: Proc. 17th Annual Conf. (NIPS 2003)*, S. Thrun, L. K. Saul, and B. Schoelkopf, Eds., Neural Information Processing Systems, Vol. 16, Cambridge, MA: MIT Press, 2004, pp. 369-376. - M. Wainwright, T. S. Jaakkola, and A. S. Willsky, "Exact MAP estimates by (hyper)tree agreement," in
*Advances in Neural Information Processing Systems 15: Proc. 16th Annual Conf. (NIPS 2002)*, S. Becker, S. Thrun, and K. Obermayer, Eds., Neural Information Processing Systems, Vol. 15, Cambridge, MA: MIT Press, 2003, pp. 833-840. - L. Chen, M. Wainwright, M. Cetin, and A. S. Willsky, "Multitarget-multisensor data association using the tree-reweighted max-product algorithm," in
*Signal Processing, Sensor Fusion, and Target Recognition XII*, I. Kadar, Ed., Proceedings of SPIE, Vol. 5096, Bellingham, WA: SPIE -- Society of Photo-Optical Instrumentation Engineers, 2003, pp. 127-138. - M. Wainwright, E. B. Sudderth, and A. S. Willsky, "Tree-based modeling and estimation of Gaussian processes on graphs with cycles," in
*Advances in Neural Information Processing Systems 13: Proc. 14th Annual Conf. (NIPS 2000)*, T. K. Leen, T. G. Dietterich, and V. Tresp, Eds., Neural Information Processing Systems, Vol. 13, Cambridge, MA: MIT Press, 2001, pp. 661-667. - M. Wainwright and E. P. Simoncelli, "Scale mixtures of Gaussians and the statistics of natural images," in
*Advances in Neural Information Processing Systems 12: Proc. 13th Annual Conf. (NIPS 1999)*, S. A. Solla, T. K. Leen, and K. R. Muller, Eds., Neural Information Processing Systems, Vol. 12, Cambridge, MA: MIT Press, 2000, pp. 855-861.

## Articles in journals or magazines

- N. B. Shah, S. Balakrishnan, J. Bradley, A. Parekh, K. Ramchandran, and M. Wainwright, "Estimation from Pairwise Comparisons: Sharp Minimax Bounds with Topology Dependence,"
*AISTATS, San Diego, May 2015*, 2015. - Z. Zhang, V. Anantharam, M. Wainwright, and B. Nikolic, "An Efficient 10GBASE-T Ethernet LDPC Decoder Design With Low Error Floors,"
*Solid-State Circuits, IEEE Journal of*, vol. 45, no. 4, pp. 843-855, April 2010. - T. G. Roosta, M. Wainwright, and S. S. Sastry, "Convergence analysis of reweighted sum-product algorithms,"
*IEEE Trans. Signal Processing*, vol. 56, no. 9, pp. 4293-4305, Sep. 2008. - C. Daskalakis, A. G. Dimakis, R. M. Karp, and M. Wainwright, "Probabilistic analysis of linear programming decoding,"
*IEEE Trans. Information Theory*, vol. 54, no. 8, pp. 3565-3578, Aug. 2008. - X. Nguyen, M. Wainwright, and M. Jordan, "On optimal quantization rules for some problems in sequential decentralized detection,"
*IEEE Transactions on Information Theory*, vol. 54, no. 7, pp. 3285-3295, July 2008. - A. D. G. Dimakis, A. D. Sarwate, and M. Wainwright, "Geographic gossip: Efficient averaging for sensor networks,"
*IEEE Transactions on Signal Processing*, vol. 56, no. 3, pp. 1205-1216, March 2008. - M. Wainwright, "Sparse graph codes for side information and binning,"
*IEEE Signal Processing Magazine*, vol. 24, no. 5, pp. 47-57, Sep. 2007. - E. Maneva, E. Mossel, and M. Wainwright, "A new look at survey propagation and its generalizations,"
*J. ACM*, vol. 54, no. 4, pp. 17, July 2007. - J. Feldman, T. Malkin, R. A. Servedio, C. Stein, and M. Wainwright, "LP decoding corrects a constant fraction of errors,"
*IEEE Transactions on Information Theory*, vol. 53, no. 1, pp. 82-89, Jan. 2007. - M. Wainwright, "Estimating the "wrong" graphical model: Benefits in the computation-limited setting,"
*Journal of Machine Learning Research*, vol. 7, pp. 1829--1859, Dec. 2006. - M. Cetin, L. Chen, J. W. Fisher III, A. T. Ihler, R. L. Moses, M. Wainwright, and A. S. Willsky, "Distributed fusion in sensor networks: A graphical models perspective,"
*IEEE Signal Processing Magazine*, vol. 23, no. 4, pp. 42-55, July 2006. - M. Wainwright and M. Jordan, "Log-determinant relaxation for approximate inference in discrete Markov random fields,"
*IEEE Transactions on Signal Processing*, vol. 54, no. 6, pt. 1, pp. 2099-2109, June 2006. - L. Chen, M. Wainwright, M. Cetin, and A. S. Willsky, "Data association based on optimization in graphical models with application to sensor networks,"
*Mathematical and Computer Modelling: Optimization and Control for Military Applications*, vol. 43, no. 9-10, pp. 1114-1135, May 2006. - M. Wainwright, T. S. Jaakkola, and A. S. Willsky, "MAP estimation via agreement on trees: Message-passing and linear programming,"
*IEEE Transactions on Information Theory*, vol. 51, no. 11, pp. 3697-3717, Nov. 2005. - X. Nguyen, M. Wainwright, and M. Jordan, "Nonparametric decentralized detection using kernel methods,"
*IEEE Transactions on Signal Processing*, vol. 53, no. 11, pp. 4053-4066, Nov. 2005. - M. Wainwright, T. S. Jaakkola, and A. S. Willsky, "A new class of upper bounds on the log partition function,"
*IEEE Transactions on Information Theory*, vol. 51, no. 7, pp. 2313-2335, July 2005. - J. Feldman, M. Wainwright, and D. R. Karger, "Using linear programming to decode binary linear codes,"
*IEEE Transactions on Information Theory*, vol. 51, no. 3, pp. 954-972, March 2005. - E. B. Sudderth, M. Wainwright, and A. S. Willsky, "Embedded trees: Estimation of Gaussian processes on graphs with cycles,"
*IEEE Transactions on Signal Processing*, vol. 52, no. 11, pp. 3136-3150, Nov. 2004. - M. Wainwright, T. Jaakkola, and A. Willsky, "Tree consistency and bounds on the performance of the max-product algorithm and its generalizations,"
*Statistics and Computing*, vol. 14, no. 2, pp. 143-166, April 2004. - J. Portilla, V. Strela, M. Wainwright, and E. P. Simoncelli, "Image denoising using scale mixtures of Gaussians in the wavelet domain,"
*IEEE Transactions on Image Processing*, vol. 12, no. 11, pp. 1338-1351, Nov. 2003. - M. Wainwright, T. S. Jaakkola, and A. S. Willsky, "Tree-based reparameterization framework for analysis of sum-product and related algorithms,"
*IEEE Transactions on Information Theory*, vol. 49, no. 5, pp. 1120-1146, May 2003. - M. Wainwright, E. P. Simoncelli, and A. S. Willsky, "Random cascades on wavelet trees and their use in analyzing and modeling natural images,"
*Applied and Computational Harmonic Analysis*, vol. 11, pp. 89--123, 2001. - M. Wainwright, "Visual adaptation as optimal information transmission,"
*Vision Research*, vol. 39, pp. 3960-3974, Nov. 1999.

## Articles in conference proceedings

- N. B. Shah, J. K. Bradley, A. Parekh, M. Wainwright, and K. Ramchandran, "A case for ordinal peer-evaluation in MOOCs," in
*NIPS Workshop on Data Driven Education*, 2013. - N. Santhanam and M. Wainwright, "Information-theoretic limits of graphical model selection in high dimensions," in
*Proc. 2008 IEEE Intl. Symp. on Information Theory (ISIT 2008)*, Piscataway, NJ: IEEE Press, 2008, pp. 2136-2140. - D. Omidiran and M. Wainwright, "High-dimensional subset recovery in noise: Sparse measurements and statistical efficiency," in
*Proc. 2008 IEEE Intl. Symp. on Information Theory (ISIT 2008)*, Piscataway, NJ: IEEE Press, 2008, pp. 2192-2196. - W. Wang, M. Wainwright, and K. Ramchandran, "Information-theoretic limits on sparse support recovery: Dense versus sparse measurements," in
*Proc. 2008 IEEE Intl. Symp. on Information Theory (ISIT 2008)*, Piscataway, NJ: IEEE Press, 2008, pp. 2197-2201. - A. A. Amini and M. Wainwright, "High-dimensional analysis of semidefinite relaxations for sparse principal components," in
*Proc. 2008 IEEE Intl. Symp. on Information Theory (ISIT 2008)*, Piscataway, NJ: IEEE Press, 2008, pp. 2454-2458. - P. Lee, L. Dolecek, Z. Zhang, V. Anantharam, B. Nikolic, and M. Wainwright, "Error floors in LDPC codes: Fast simulation, bounds and hardware emulation," in
*Proc. 2008 IEEE Intl. Symp. on Information Theory (ISIT 2008)*, Piscataway, NJ: IEEE Press, 2008, pp. 444-448. - P. Ravikumar, A. Agarwal, and M. Wainwright, "Message-passing for graph-structured linear programs: Proximal projections, convergence and rounding schemes," in
*Proc. 25th Intl. Conf. on Machine Learning (ICML 2008)*, A. McCallum and S. Roweis, Eds., ACM International Conference Proceeding Series, Vol. 307, New York, NY: The Association for Computing Machinery, Inc., 2008, pp. 800-807. - R. Rajagopal and M. Wainwright, "Stochastic approximation analysis of distributed estimation algorithms," in
*Proc. 45th Annual Allerton Conf. on Communication, Control, and Computing*, C. Hadjicostis and P. Moulin, Eds., Piscataway, NJ: IEEE Press, 2007. - E. Sudderth, M. Wainwright, and A. Willsky, "Loop series and Bethe variational bounds in attractive graphical models (Invited Paper)," in
*Proc. 45th Annual Allerton Conf. on Communication, Control, and Computing*, C. Hadjicostis and P. Moulin, Eds., Piscataway, NJ: IEEE Press, 2007, pp. 534-534. - L. Dolecek, Z. Zhang, M. Wainwright, V. Anantharam, and B. Nikolic, "Evaluation of the low frame error rate performance of LDPC codes using importance sampling," in
*Proc. 2007 IEEE Information Theory Workshop (ITW '07)*, Piscataway, NJ: IEEE Press, 2007, pp. 202-207. - A. G. Dimakis, M. Wainwright, and K. Ramchandran, "Lower bounds on the rate-distortion function of LDGM codes," in
*Proc. 2007 IEEE Information Theory Workshop (ITW '07)*, Piscataway, NJ: IEEE Press, 2007, pp. 650-655. - Z. Zhang, L. Dolecek, M. Wainwright, V. Anantharam, and B. Nikolic, "Quantization effects in low-density parity-check decoders," in
*Proc. 2007 IEEE Intl. Conf. on Communications (ICC '07)*, Piscataway, NJ: IEEE Press, 2007, pp. 6231-6237. - L. Dolecek, Z. Zhang, V. Anantharam, M. Wainwright, and B. Nikolic, "Analysis of absorbing sets for array-based LDPC codes," in
*Proc. IEEE International Conference on Communications (ICC '07)*, Piscataway, NJ: IEEE Press, 2007, pp. 6261-6268. - M. Wainwright, "Information-theoretic bounds on sparsity recovery in the high-dimensional and noisy setting," in
*Proc. 2007 IEEE International Symposium on Information Theory (ISIT 2007)*, Piscataway, NJ: IEEE Press, 2007, pp. 961-965. - X. Nguyen, M. Wainwright, and M. Jordan, "Nonparametric estimation of the likelihood ratio and divergence functionals," in
*Proc. 2007 IEEE International Symposium on Information Theory (ISIT 2007)*, Piscataway, NJ: IEEE Press, 2007, pp. 2016-2020. - A. G. Dimakis, P. B. Godfrey, M. Wainwright, and K. Ramchandran, "Network coding for distributed storage systems," in
*Proc. 26th IEEE International Conference on Computer Communications (INFOCOM 2007)*, Piscataway, NJ: IEEE Press, 2007, pp. 2000-2008. - T. Roosta, M. Wainwright, and S. S. Sastry, "Convergence analysis of reweighted sum-product algorithms," in
*Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2007)*, Vol. 2, Piscataway, NJ: IEEE Press, 2007, pp. 541-544. - J. Schiff, D. Antonelli, A. G. Dimakis, D. Chu, and M. Wainwright, "Robust message-passing for statistical inference in sensor networks," in
*Proc. 6th International Symposium on Information Processing in Sensor Networks (IPSN 2007)*, New York, NY: ACM Press, 2007, pp. 109-118. - K. Daskalakis, G. A. Dimakis, R. M. Karp, and M. Wainwright, "Probabilistic analysis of linear programming decoding," in
*Proc. 18th Annual ACM-SIAM Symposium on Discrete Algorithms (SODA 2007)*, New York, NY/Philadelphia, PA: The Association for Computing Machinery, Inc./Society for Industrial and Applied Mathematics, 2007, pp. 385-394. - Z. Zhang, L. Dolecek, B. Nikolic, V. Anantharam, and M. Wainwright, "Investigation of error floors of structured low-density parity-check codes by hardware emulation," in
*Proc. IEEE Global Telecommunications Conference (GLOBECOM '06)*, Piscataway, NJ: IEEE Press, 2006, pp. 1-6. - E. Martinian and M. Wainwright, "Low-density constructions can achieve the Wyner-Ziv and Gelfand-Pinsker bounds," in
*Proc. 2006 IEEE International Symposium on Information Theory (ISIT 2006)*, Piscataway, NJ: IEEE Press, 2006, pp. 484-488. - A. G. Dimakis and M. Wainwright, "Guessing facets: Polytope structure and improved LP decoder," in
*Proc. IEEE International Symposium on Information Theory (ISIT 2006)*, Piscataway, NJ: IEEE Press, 2006, pp. 1369-1373. - X. Nguyen, M. Wainwright, and M. Jordan, "On optimal quantization rules for sequential decision problems," in
*Proc. IEEE International Symposium on Information Theory (ISIT 2006)*, Piscataway, NJ: IEEE Press, 2006, pp. 2652-2656. - R. Rajagopal, M. Wainwright, and P. Varaiya, "Universal quantile estimation with feedback in the communication-constrained setting," in
*Proc. 2006 IEEE International Symposium on Information Theory (ISIT 2006)*, Piscataway, NJ: IEEE Press, 2006, pp. 836-840. - A. G. Dimakis, A. D. Sarwate, and M. Wainwright, "Geographic gossip: Efficient aggregation for sensor networks," in
*Proc. IEEE 5th International Conference on Information Processing in Sensor Networks (IPSN 2006)*, Piscataway, NJ: IEEE Press, 2006, pp. 69-76. - E. Martinian and M. Wainwright, "Low density codes achieve the rate-distortion bound," in
*Proc. Data Compression Conference (DCC 2006)*, J. A. Storer and M. Cohn, Eds., Los Alamitos, CA: IEEE Computer Society, 2006, pp. 153-162. - E. Martinian and M. Wainwright, "Low-density constructions for lossy compression, binning, and coding with side information," in
*Proc. IEEE Information Theory Workshop 2006 (ITW '06)*, Piscataway, NJ: IEEE Press, 2006, pp. 263-264. - V. Kolmogorov and M. Wainwright, "On the Optimality of Tree-reweighted Max-product Message-passing," in
*Proc. of the 21st Conference in Uncertainty in Artificial Intelligence (UAI '05)*, Arlington, Virginia: AUAI Press, 2005, pp. 316-323. - M. Wainwright and E. Maneva, "Lossy source encoding via message-passing and decimation over generalized codewords of LDGM codes," in
*Proc. IEEE International Symposium on Information Theory (ISIT 2005)*, Piscataway, NJ: IEEE Press, 2005, pp. 1493-1497. - X. Nguyen, M. Wainwright, and M. Jordan, "On information divergence measures, surrogate loss functions and decentralized hypothesis testing," in
*Proc. 43rd Annual Allerton Conference on Communication, Control, and Computing*, G. Dullerud and A. Singer, Eds., Urbana-Champaign, IL: University of Illinois, 2005. - M. Wainwright, "Convex surrogates and stable message-passing: Joint parameter estimation and prediction in coupled Gaussian mixture models," in
*2005 IEEE/SP 13th Workshop on Statistical Signal Processing Book of Abstracts*, Piscataway, NJ: IEEE Press, 2005, pp. 411-416. - E. Maneva, E. Mossel, and M. Wainwright, "A new look at survey propagation and its generalizations (Extended Abstract)," in
*Proc. 16th Annual ACM-SIAM Symp. on Discrete Algorithms (SODA 2005)*, Philadelphia, PA: Society for Industrial and Applied Mathematics, 2005, pp. 1089-1098. - E. N. Maneva, E. Mossel, and M. Wainwright, "A new look at survey propagation and its generalizations," in
*Proc. 16th Annual ACM-SIAM Symposium on Discrete Algorithms (SODA 2005)*, SIAM, 2005, pp. 1089-1098. - M. Wainwright and M. Jordan, "Variational inference in graphical models: The view from the marginal polytope," in
*Proc. 41st Allerton Conference on Communication, Control, and Computing*, Urbana-Champaign, IL: University of Illinois, 2004. - J. Feldman, T. Malkin, R. A. Servedio, C. Stein, and M. Wainwright, "LP decoding corrects a constant fraction of errors," in
*Proc. IEEE International Symposium on Informtion Theory (ISIT 2004)*, Piscataway, NJ: IEEE Press, 2004, pp. 69-69. - X. Nguyen, M. Wainwright, and M. Jordan, "Decentralized detection and classification using kernel methods," in
*Proc. 21st International Conference on Machine Learning (ICML '04)*, ACM International Conference Proceeding Series, Vol. 69, New York, NY: The Association for Computing Machinery, Inc., 2004, pp. Art. 80. - J. Portilla, V. Strela, M. Wainwright, and E. Simoncelli, "Adaptive Wiener denoising using a Gaussian scale mixture model in the wavelet domain," in
*Proc. 2001 International Conference on Image Processing*, Vol. 2, Piscataway, NJ: IEEE Press, 2001, pp. 37-40. - M. 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," in
*Proc. 2000 International Conference on Image Processing*, Vol. 1, Piscataway, NJ: IEEE Press, 2000, pp. 260 - 263.

## Technical Reports

- P. Ravikumar, A. Agarwal, and M. Wainwright, "Message-Passing for Graph-Structured Linear Programs: Proximal Methods and Rounding Schemes," UC Berkeley, Department of Statistics, Tech. Rep. UCB/STAT-08-765, Oct. 2008.
- X. L. Nguyen, M. Wainwright, and M. Jordan, "Estimating Divergence Functionals and the Likelihood Ratio by Convex Risk Minimization," UC Berkeley, Department of Statistics, Tech. Rep. UCB/STAT-08-764, Sep. 2008.
- G. Obozinski, M. Wainwright, and M. Jordan, "Union Support Recovery in High-Dimensional Multivariate Regression," UC Berkeley, Department of Statistics, Tech. Rep. UCB/STAT-08-761, Aug. 2008.
- W. Wang, M. Wainwright, and K. Ramchandran, "Information-Theoretic Limits on Sparse Signal Recovery: Dense versus Sparse Measurement Matrices," UC Berkeley, Department of Statistics, Tech. Rep. UCB/STAT-08-754, May 2008.
- D. Omidiran and M. Wainwright, "High-Dimensional Subset Recovery in Noise: Sparsified Measurements Without Loss of Statistical Efficiency," UC Berkeley, Department of Statistics, Tech. Rep. UCB/STAT-08-753, May 2008.
- R. Rajagopal, M. Wainwright, R. Rajagopal, and M. Wainwright, "Network-Based Consensus Averaging with General Noisy Channels," UC Berkeley, Department of Statistics, Tech. Rep. UCB/STAT-08-751, May 2008.
- P. Vavikumar, M. Wainwright, and J. D. Lafferty, "High-Dimensional Graphical Model Selection Using l_1-Regularized Logistic Regression," UC Berkeley, Department of Statistics, Tech. Rep. UCB/STAT-08-750, April 2008.
- A. A. Amini and M. Wainwright, "High-Dimensional Analysis of Semidefinite Relaxations for Sparse Principal Components," UC Berkeley, Department of Statistics, Tech. Rep. UCB/STAT-08-747, March 2008.
- T. Roosta, M. Wainwright, and S. S. Sastry, "Convergence Analysis of Reweighted Sum-Product Algorithms," UC Berkeley, Department of Statistics, Tech. Rep. UCB/STAT-07-737, Aug. 2007.
- M. Wainwright and E. Martinian, "Low-Density Graph Codes That Are Optimal for Source/Channel Coding and Binning," UC Berkeley, Department of Statistics, Tech. Rep. UCB/STAT-07-730, April 2007.
- M. Wainwright, "Information-Theoretic Limits on Sparsity Recovery in the High-Dimensional and Noisy Setting," UC Berkeley, Department of Statistics, Tech. Rep. UCB/STAT-07-725, Jan. 2007.
- C. Daskalakis, G. A. Dimakis, R. M. Karp, and M. Wainwright, "Probabilistic Analysis of Linear Programming Decoding," UC Berkeley, Department of Statistics, Tech. Rep. UCB/STAT-06-718, Oct. 2006.
- M. Wainwright, "Sharp Thresholds for High-Dimensional and Noisy Recovery of Sparsity," UC Berkeley, Department of Statistics, Tech. Rep. UCB/STAT-06-709, June 2006.
- X. Nguyen, M. Wainwright, and M. Jordan, "On Optimal Quantization Rules for Some Sequential Decision Problems," UC Berkeley, Department of Statistics, Tech. Rep. UCB/STAT-06-708, June 2006.
- X. Nguyen, M. Wainwright, and M. Jordan, "On Divergences, Surrogate Loss Functions, and Decentralized Detection," UC Berkeley, Department of Statistics, Tech. Rep. UCB/STAT-05-695, Oct. 2005.
- E. Maneva, E. Mossel, and M. Wainwright, "A New Look at Survey Propagation and Its Generalizations," UC Berkeley, Department of Statistics, Tech. Rep. UCB/STAT-04-669, Sep. 2004.
- M. Wainwright and M. Jordan, "Treewidth-Based Conditions for Exactness of the Sherali-Adams & Lasserre Relaxations," UC Berkeley, Department of Statistics, Tech. Rep. UCB/STAT-04-671, Sep. 2004.
- X. Nguyen, M. Wainwright, and M. Jordan, "Decentralized Detection and Classification Using Kernel Methods," UC Berkeley, Department of Statistics, Tech. Rep. UCB/STAT-04-658, April 2004.
- M. Wainwright and M. Jordan, "Graphical Models, Exponential Families, and Variational Inference," UC Berkeley, Department of Statistics, Tech. Rep. UCB/STAT-03-649, Sep. 2003.
- M. J. Wainwright, T. S. Jaakkola, and A. S. Willsky, "MAP Estimation via Agreement on (hyper)trees: Message-passing and Linear Programming Approaches," EECS Department, University of California, Berkeley, Tech. Rep. UCB/CSD-03-1269, Aug. 2003. [abstract]
- M. J. Wainwright and M. I. Jordan, "Semidefinite Relaxations for Approximate Inference on Graphs with Cycles," EECS Department, University of California, Berkeley, Tech. Rep. UCB/CSD-03-1226, Jan. 2003. [abstract]

## Unpublished articles

- M. Wainwright, "Inconsistent parameter estimation in Markov random fields: Benefits in the computation-limited setting," Feb. 2006.

## Ph.D. Theses

- M. Wainwright, "Stochastic processes on graphs with cycles: Geometric and variational approaches," Massachusetts Institute of Technology, 2002.

## Masters Reports

- M. Lopes, L. Jacob, and M. Wainwright, "A More Powerful Two-Sample Test in High Dimensions using Random Projection," EECS Department, University of California, Berkeley, Tech. Rep. UCB/EECS-2014-28, April 2014. [abstract]