Rice DSP Publications

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Submitted
C. Studer, T. Goldstein, W. Yin, and R. G. Baraniuk, "Democratic Representations", submitted to IEEE Transactions on Information Theory, 2014, Jan., Submitted. Abstract
J. V. Shi, Y. Xu, and R. G. Baraniuk, "Sparse Bilinear Logistic Regression", Submitted to Journal of Machine Learning Research, 2014, Apr, Submitted. Abstract
R. J. Patel, T. Goldstein, E. L. Dyer, A. Mirhoseini, and R. G. Baraniuk, "oASIS: Adaptive Column Sampling for Kernel Matrix Approximation", Submitted to IEEE Journal on Selected Topics in Signal Processing, Submitted.
2016
A. S. Lan, and R. G. Baraniuk, "A Contextual Bandits Framework for Personalized Learning Action Selection", International Conference on Educational Data Mining, to appear, Raleigh, NC, June, 2016. Abstract
A. S. Lan, T. Goldstein, C. Studer, and R. G. Baraniuk, "Dealbreaker: A Nonlinear Latent Variable Model for Educational Data", International Conference on Machine Learning, to appear, New York, NY, June, 2016. Abstract
J. T. Chi, E. C. Chi, and R. G. Baraniuk, "k-POD: A Method for k-Means Clustering of Missing Data", The American Statistician, vol. 70, no. 1, pp. 91-99, 04, 2016. Abstract
2015
A. E. Waters, D. Tinapple, and R. G. Baraniuk, "BayesRank: A Bayesian Approach to Ranked Peer Grading", The 2nd ACM Conference on Learning at Scale, Vancouver, Canada, Mar., 2015. Abstract
A. Patel, T. Nguyen, and R. G. Baraniuk, A Probabilistic Theory of Deep Learning, , no. 2015-1: Rice University, Department of Electrical and Computer Engineering, Mar., 2015.
A. S. Lan, C. Studer, and R. G. Baraniuk, "Self-Expressive Clustering of Binary Data via Group Sparsity", Signal Processing with Adaptive Sparse Structured Representations (SPARS), Cambridge, UK, July, 2015. Abstract
2014
C. Hegde, A. C. Sankaranarayanan, and R. G. Baraniuk, "Lie Operators for Compressive Sensing", International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Florence, Italy, May, 2014.
A. S. Lan, C. Studer, and R. G. Baraniuk, "Matrix Recovery From Quantized and Corrupted Measurements", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Florence, Italy, May, 2014. Abstract
A. S. Lan, A. E. Waters, C. Studer, and R. G. Baraniuk, "Sparse Factor Analysis for Learning and Content Analytics", Journal of Machine Learning Research, vol. 15, pp. 1959-2008, June, 2014. Abstract
A. E. Waters, C. Studer, and R. G. Baraniuk, "Collaboration-Type Identification in Educational Datasets", Journal of Educational Data Mining, vol. 6, no. 1, pp. 28-52, July, 2014. Abstract
A. S. Lan, C. Studer, and R. G. Baraniuk, "Quantized Matrix Completion for Personalized Learning", The 7th International Conference on Educational Data Mining (EDM), London, July , 2014. Abstract
A. S. Lan, C. Studer, and R. G. Baraniuk, "Time-varying Learning and Content Analytics via Sparse Factor Analysis", ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), New York, Aug., 2014. Abstract
S. Jalali, A. Maleki, and R. Baraniuk, "Minimum Complexity Pursuit for Universal Compressed Sensing", IEEE Trans. Inform. Theo., vol. 60, no. 4, pp. 2253-2268, Apr., 2014. Abstract
D. Vats, R. D. Nowak, and R. G. Baraniuk, "Active Learning for Undirected Graphical Model Selection", Proceedings of the 17th International Conference on Artificial Intelligence and Statistics (AISTATS), 2014.
R. J. Patel, T. Goldstein, E. L. Dyer, A. Mirhoseini, and R. G. Baraniuk, oASIS: Adaptive Column Sampling for Kernel Matrix Approximation, , no. TREE 1402: Rice University, Department of Electrical and Computer Engineering, 2014.
S. Nagaraj, C. Hegde, A. C. Sankaranarayanan, and R. G. Baraniuk, "Optical Flow-based Transport on Image Manifolds", Applied and Computational Harmonic Analysis , vol. 36, no. 2, pp. 280-301, 2014.
D. Vats, and R. G. Baraniuk, "Path Thresholding: Asymptotically Tuning-Free High-Dimensional Sparse Regression", Proceedings of the 17th International Conference on Artificial Intelligence and Statistics (AISTATS), 2014. Abstract
C. Studer, and R. G. Baraniuk, "Stable restoration and separation of approximately sparse signals", Applied and Computational Harmonic Analysis, vol. 31, no. 1, pp. 12-35, 2014. Abstract
2013
R. G. Baraniuk, "Opening Education", The Bridge on Undergraduate Engineering Education, vol. 43, no. 2, pp. 41-47, Summer, 2013. Abstract
C. Studer, G. Pope, P. Navarro, and R. G. Baraniuk, "Recovering Sparse Low-rank Blocks in Tandem Mass Spectrometry", Allerton Conference on Communication, Control, and Computing, Monticello, Illinois, Oct., 2013. Abstract
A. E. Waters, A. S. Lan, and C. Studer, "Sparse Probit Factor Analysis For Learning Analytics", The 38th International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Vancouver, Canada, May, 2013. Abstract
A. S. Lan, C. Studer, A. E. Waters, and R. G. Baraniuk, "Tag-Aware Ordinal Sparse Factor Analysis for Learning and Content Analytics", The Sixth International Conference on Educational Data Mining, Memphis, TN, July, 2013. Abstract
D. Vats, C. Studer, A. S. Lan, L. Carin, and R. G. Baraniuk, "Test Size Reduction for Concept Estimation", Proceeding of the Sixth International Conference on Educational Data Mining (EDM), July, 2013.
M. F. Duarte, M. B. Wakin, D. Baron, S. Sarvotham, and R. G. Baraniuk, "Measurement Bounds for Sparse Signal Ensembles via Graphical Models", IEEE Transactions in Information Theory, vol. 59, no. 7, pp. 4280-4289, Jul., 2013. Abstract
M. F. Duarte, and R. G. Baraniuk, "Spectral compressive sensing", Applied and Computational Harmonic Analysis, vol. 35, no. 1, pp. 111-129, Jul., 2013. Abstract

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