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    First name: Richard G.
    Last name: Baraniuk
    DBLP: 32/2804
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    Journal article
    Richard G. Baraniuk, Tom Goldstein, Aswin C. Sankaranarayanan, Christoph Studer, Ashok Veeraraghavan, Michael B. Wakin.
    Compressive Video Sensing: Algorithms, architectures, and applications.
    IEEE Signal Process. Mag. 2017, Volume 34 (0) 2017
    Conference paper
    Ali Mousavi, Richard G. Baraniuk.
    Learning to Invert: Signal Recovery via Deep Convolutional Networks.
    CoRR 2017, Volume 0 (0) 2017
    Journal article
    Amirali Aghazadeh, Mohammad Golbabaee, Andrew S. Lan, Richard G. Baraniuk.
    Insense: Incoherent Sensor Selection for Sparse Signals.
    CoRR 2017, Volume 0 (0) 2017
    Conference paper
    Joshua J. Michalenko, Andrew S. Lan, Richard G. Baraniuk.
    Data-Mining Textual Responses to Uncover Misconception Patterns.
    CoRR 2017, Volume 0 (0) 2017
    Conference paper
    Joshua J. Michalenko, Andrew S. Lan, Richard G. Baraniuk.
    D.TRUMP: Data-mining Textual Responses to Uncover Misconception Patterns.
    Proceedings of the Fourth ACM Conference on Learning @ Scale, L@S 2017, Cambridge, MA, USA, April 20-21, 2017 2017 (0) 2017
    Conference paper
    Christopher A. Metzler, Ali Mousavi, Richard G. Baraniuk.
    Learned D-AMP: A Principled CNN-based Compressive Image Recovery Algorithm.
    CoRR 2017, Volume 0 (0) 2017
    Conference paper
    Richard G. Baraniuk, Simon Foucart, Deanna Needell, Yaniv Plan, Mary Wootters.
    Exponential Decay of Reconstruction Error From Binary Measurements of Sparse Signals.
    IEEE Trans. Information Theory 2017, Volume 63 (0) 2017
    Conference paper
    Jasper Tan, Vivek Boominathan, Ashok Veeraraghavan, Richard G. Baraniuk.
    Flat focus: depth of field analysis for the FlatCam lensless imaging system.
    2017 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2017, New Orleans, LA, USA, March 5-9, 2017 2017 (0) 2017
    Conference paper
    Indu Manickam, Andrew S. Lan, Richard G. Baraniuk.
    Contextual multi-armed bandit algorithms for personalized learning action selection.
    2017 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2017, New Orleans, LA, USA, March 5-9, 2017 2017 (0) 2017
    Conference paper
    Ali Mousavi, Richard G. Baraniuk.
    Learning to invert: Signal recovery via Deep Convolutional Networks.
    2017 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2017, New Orleans, LA, USA, March 5-9, 2017 2017 (0) 2017
    Conference paper
    Christopher A. Metzler, Manoj Kumar Sharma, Sudarshan Nagesh, Richard G. Baraniuk, Oliver Cossairt, Ashok Veeraraghavan.
    Coherent inverse scattering via transmission matrices: Efficient phase retrieval algorithms and a public dataset.
    2017 IEEE International Conference on Computational Photography, ICCP 2017, Stanford, CA, USA, May 12-14, 2017 2017 (0) 2017
    Conference paper
    Ali Mousavi, Gautam Dasarathy, Richard G. Baraniuk.
    DeepCodec: Adaptive Sensing and Recovery via Deep Convolutional Neural Networks.
    CoRR 2017, Volume 0 (0) 2017
    Conference paper
    Amirali Aghazadeh, Andrew S. Lan, Anshumali Shrivastava, Richard G. Baraniuk.
    RHash: Robust Hashing via L_infinity-norm Distortion.
    Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, IJCAI 2017, Melbourne, Australia, August 19-25, 2017 2017 (0) 2017
    Conference paper
    Gautam Dasarathy, Parikshit Shah, Richard G. Baraniuk.
    Sketched covariance testing: A compression-statistics tradeoff.
    2017 IEEE International Symposium on Information Theory, ISIT 2017, Aachen, Germany, June 25-30, 2017 2017 (0) 2017
    Conference paper
    Andrew S. Lan, Andrew E. Waters, Christoph Studer, Richard G. Baraniuk.
    BLAh: Boolean Logic Analysis for Graded Student Response Data.
    J. Sel. Topics Signal Processing 2017, Volume 11 (0) 2017
    Conference paper
    Mihaela van der Schaar, Richard G. Baraniuk, Mung Chiang, Jonathan Huang, Shengdong Zhao.
    Introduction to the Issue on Signal Processing and Machine Learning.
    J. Sel. Topics Signal Processing 2017, Volume 11 (0) 2017
    Conference paper
    Muhammad Salman Asif, Ali Ayremlou, Aswin C. Sankaranarayanan, Ashok Veeraraghavan, Richard G. Baraniuk.
    FlatCam: Thin, Lensless Cameras Using Coded Aperture and Computation.
    IEEE Trans. Computational Imaging 2017, Volume 3 (0) 2017
    Conference paper
    Amirali Aghazadeh, Andrew S. Lan, Anshumali Shrivastava, Richard G. Baraniuk.
    Near-Isometric Binary Hashing for Large-scale Datasets.
    CoRR 2016, Volume 0 (0) 2016
    Conference paper
    Richard G. Baraniuk, Simon Foucart, Deanna Needell, Yaniv Plan, Mary Wootters.
    One-Bit Compressive Sensing of Dictionary-Sparse Signals.
    CoRR 2016, Volume 0 (0) 2016
    Conference paper
    Andrew S. Lan, Tom Goldstein, Richard G. Baraniuk, Christoph Studer.
    Dealbreaker: A Nonlinear Latent Variable Model for Educational Data.
    Proceedings of the 33nd International Conference on Machine Learning, ICML 2016, New York City, NY, USA, June 19-24, 2016 2016 (0) 2016
    Conference paper
    Thomas A. Baran, Richard G. Baraniuk, Alan V. Oppenheim, Paolo Prandoni, Martin Vetterli.
    MOOC Adventures in Signal Processing: Bringing DSP to the era of massive open online courses.
    IEEE Signal Process. Mag. 2016, Volume 33 (0) 2016
    Conference paper
    Andrew S. Lan, Richard G. Baraniuk.
    A Contextual Bandits Framework for Personalized Learning Action Selection.
    Proceedings of the 9th International Conference on Educational Data Mining, EDM 2016, Raleigh, North Carolina, USA, June 29 - July 2, 2016 2016 (0) 2016
    Conference paper
    Christopher A. Metzler, Arian Maleki, Richard G. Baraniuk.
    From Denoising to Compressed Sensing.
    IEEE Transactions on Information Theory 2016, Volume 62 (0) 2016
    Conference paper
    Amit K. Agrawal, Richard G. Baraniuk, Pablo Favaro, Ashok Veeraraghavan.
    Signal Processing for Computational Photography and Displays [From the Guest Editors].
    IEEE Signal Process. Mag. 2016, Volume 33 (0) 2016
    Conference paper
    Vivek Boominathan, Jesse K. Adams, Muhammad Salman Asif, Benjamin W. Avants, Jacob T. Robinson, Richard G. Baraniuk, Aswin C. Sankaranarayanan, Ashok Veeraraghavan.
    Lensless Imaging: A computational renaissance.
    IEEE Signal Process. Mag. 2016, Volume 33 (0) 2016
    Conference paper
    Raajen Patel, Tom Goldstein, Eva L. Dyer, Azalia Mirhoseini, Richard G. Baraniuk.
    Deterministic Column Sampling for Low-Rank Matrix Approximation: Nyström vs. Incomplete Cholesky Decomposition.
    Proceedings of the 2016 SIAM International Conference on Data Mining, Miami, Florida, USA, May 5-7, 2016 2016 (0) 2016
    Conference paper
    Christopher A. Metzler, Arian Maleki, Richard G. Baraniuk.
    BM3D-PRGAMP: Compressive phase retrieval based on BM3D denoising.
    2016 IEEE International Conference on Multimedia Expo Workshops, ICME Workshops 2016, Seattle, WA, USA, July 11-15, 2016 2016 (0) 2016
    Conference paper
    Christopher A. Metzler, Arian Maleki, Richard G. Baraniuk.
    BM3D-PRGAMP: Compressive phase retrieval based on BM3D denoising.
    2016 IEEE International Conference on Image Processing, ICIP 2016, Phoenix, AZ, USA, September 25-28, 2016 2016 (0) 2016
    Conference paper
    Ankit B. Patel, Minh Tan Nguyen, Richard G. Baraniuk.
    A Probabilistic Framework for Deep Learning.
    Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, December 5-10, 2016, Barcelona, Spain 2016 (0) 2016
    Conference paper
    Minh Tan Nguyen, Wanjia Liu, Ethan Perez, Richard G. Baraniuk, Ankit B. Patel.
    Semi-Supervised Learning with the Deep Rendering Mixture Model.
    CoRR 2016, Volume 0 (0) 2016
    Conference paper
    Divyanshu Vats, Andrew S. Lan, Christoph Studer, Richard G. Baraniuk.
    Optimal ranking of test items using the Rasch model.
    54th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2016, Monticello, IL, USA, September 27-30, 2016 2016 (0) 2016
    Conference paper
    Ankit B. Patel, Minh Tan Nguyen, Richard G. Baraniuk.
    A Probabilistic Framework for Deep Learning.
    CoRR 2016, Volume 0 (0) 2016
    Conference paper
    Tom Goldstein, Christoph Studer, Richard G. Baraniuk.
    FASTA: A Generalized Implementation of Forward-Backward Splitting.
    CoRR 2015, Volume 0 (0) 2015
    Conference paper
    Andrew S. Lan, Divyanshu Vats, Andrew E. Waters, Richard G. Baraniuk.
    Mathematical Language Processing: Automatic Grading and Feedback for Open Response Mathematical Questions.
    CoRR 2015, Volume 0 (0) 2015
    Conference paper
    Andrew S. Lan, Divyanshu Vats, Andrew E. Waters, Richard G. Baraniuk.
    Mathematical Language Processing: Automatic Grading and Feedback for Open Response Mathematical Questions.
    Proceedings of the Second ACM Conference on Learning @ Scale, L@S 2015, Vancouver, BC, Canada, March 14 - 18, 2015 2015 (0) 2015
    Conference paper
    Andrew E. Waters, David Tinapple, Richard G. Baraniuk.
    BayesRank: A Bayesian Approach to Ranked Peer Grading.
    Proceedings of the Second ACM Conference on Learning @ Scale, L@S 2015, Vancouver, BC, Canada, March 14 - 18, 2015 2015 (0) 2015
    Journal article
    Azalia Mirhoseini, Eva L. Dyer, Ebrahim M. Songhori, Richard G. Baraniuk, Farinaz Koushanfar.
    RankMap: A Platform-Aware Framework for Distributed Learning from Dense Datasets.
    CoRR 2015, Volume 0 (0) 2015
    Journal article
    Aswin C. Sankaranarayanan, Lina Xu, Christoph Studer, Yun Li, Kevin F. Kelly, Richard G. Baraniuk.
    Video Compressive Sensing for Spatial Multiplexing Cameras using Motion-Flow Models.
    CoRR 2015, Volume 0 (0) 2015
    Journal article
    Ankit B. Patel, Tan Nguyen, Richard G. Baraniuk.
    A Probabilistic Theory of Deep Learning.
    CoRR 2015, Volume 0 (0) 2015
    Conference paper
    Raajen Patel, Tom Goldstein, Eva L. Dyer, Azalia Mirhoseini, Richard G. Baraniuk.
    oASIS: Adaptive Column Sampling for Kernel Matrix Approximation.
    CoRR 2015, Volume 0 (0) 2015
    Journal article
    Eva L. Dyer, Tom Goldstein, Raajen Patel, Konrad P. Körding, Richard G. Baraniuk.
    Self-Expressive Decompositions for Matrix Approximation and Clustering.
    CoRR 2015, Volume 0 (0) 2015
    Journal article
    Ali Mousavi, Richard G. Baraniuk.
    An Information-Theoretic Measure of Dependency Among Variables in Large Datasets.
    CoRR 2015, Volume 0 (0) 2015
    Journal article
    Ali Mousavi, Ankit B. Patel, Richard G. Baraniuk.
    A Deep Learning Approach to Structured Signal Recovery.
    CoRR 2015, Volume 0 (0) 2015
    Journal article
    M. Salman Asif, Ali Ayremlou, Aswin C. Sankaranarayanan, Ashok Veeraraghavan, Richard G. Baraniuk.
    FlatCam: Thin, Bare-Sensor Cameras using Coded Aperture and Computation.
    CoRR 2015, Volume 0 (0) 2015
    Conference paper
    Aswin C. Sankaranarayanan, Lina Xu, Christoph Studer, Yun Li, Kevin F. Kelly, Richard G. Baraniuk.
    Video Compressive Sensing for Spatial Multiplexing Cameras Using Motion-Flow Models.
    SIAM J. Imaging Sciences 2015, Volume 8 (0) 2015
    Conference paper
    Ali Mousavi, Arian Maleki, Richard G. Baraniuk.
    Consistent Parameter Estimation for LASSO and Approximate Message Passing.
    CoRR 2015, Volume 0 (0) 2015
    Conference paper
    Christopher A. Metzler, Arian Maleki, Richard G. Baraniuk.
    BM3D-AMP: A new image recovery algorithm based on BM3D denoising.
    2015 IEEE International Conference on Image Processing, ICIP 2015, Quebec City, QC, Canada, September 27-30, 2015 2015 (0) 2015
    Conference paper
    Muhammad Salman Asif, Ali Ayremlou, Ashok Veeraraghavan, Richard G. Baraniuk, Aswin C. Sankaranarayanan.
    FlatCam: Replacing Lenses with Masks and Computation.
    2015 IEEE International Conference on Computer Vision Workshop, ICCV Workshops 2015, Santiago, Chile, December 7-13, 2015 2015 (0) 2015
    Conference paper
    Sally Wood, Ernesto Fontenl, Christopher A. Metzler, Wah Chiu, Richard G. Baraniuk.
    Iterative reconstruction from limited angle, limited view projections for cryo-electron tomography.
    49th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015, Pacific Grove, CA, USA, November 8-11, 2015 2015 (0) 2015
    Conference paper
    Chinmay Hegde, Aswin C. Sankaranarayanan, Wotao Yin, Richard G. Baraniuk.
    NuMax: A Convex Approach for Learning Near-Isometric Linear Embeddings.
    IEEE Transactions on Signal Processing 2015, Volume 63 (0) 2015
    Conference paper
    Tom Goldstein, Lina Xu, Kevin F. Kelly, Richard G. Baraniuk.
    The STOne Transform: Multi-Resolution Image Enhancement and Compressive Video.
    IEEE Transactions on Image Processing 2015, Volume 24 (0) 2015
    Conference paper
    Ali Mousavi, Richard G. Baraniuk.
    An information-theoretic measure of dependency among variables in large datasets.
    53rd Annual Allerton Conference on Communication, Control, and Computing, Allerton 2015, Allerton Park Retreat Center, Monticello, IL, USA, September 29 - October 2, 2015 2015 (0) 2015
    Conference paper
    Ali Mousavi, Ankit B. Patel, Richard G. Baraniuk.
    A deep learning approach to structured signal recovery.
    53rd Annual Allerton Conference on Communication, Control, and Computing, Allerton 2015, Allerton Park Retreat Center, Monticello, IL, USA, September 29 - October 2, 2015 2015 (0) 2015
    Journal article
    Christoph Studer, Tom Goldstein, Wotao Yin, Richard G. Baraniuk.
    Democratic Representations.
    CoRR 2014, Volume 0 (0) 2014
    Journal article
    Jianing Shi, Wotao Yin, Aswin C. Sankaranarayanan, Richard G. Baraniuk.
    Video Compressive Sensing for Dynamic MRI.
    CoRR 2014, Volume 0 (0) 2014
    Journal article
    Divyanshu Vats, Richard G. Baraniuk.
    Path Thresholding: Asymptotically Tuning-Free High-Dimensional Sparse Regression.
    CoRR 2014, Volume 0 (0) 2014
    Journal article
    Divyanshu Vats, Robert D. Nowak, Richard G. Baraniuk.
    Active Learning for Undirected Graphical Model Selection.
    CoRR 2014, Volume 0 (0) 2014
    Conference paper
    Jianing Shi, Yangyang Xu, Richard G. Baraniuk.
    Sparse Bilinear Logistic Regression.
    CoRR 2014, Volume 0 (0) 2014
    Conference paper
    Shirin Jalali, Arian Maleki, Richard G. Baraniuk.
    Minimum Complexity Pursuit for Universal Compressed Sensing.
    IEEE Transactions on Information Theory 2014, Volume 60 (0) 2014
    Conference paper
    Kaushik Mitra, Ashok Veeraraghavan, Aswin C. Sankaranarayanan, Richard G. Baraniuk.
    Toward Compressive Camera Networks.
    IEEE Computer 2014, Volume 47 (0) 2014
    Conference paper
    Divyanshu Vats, Robert D. Nowak, Richard G. Baraniuk.
    Active Learning for Undirected Graphical Model Selection.
    Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, AISTATS 2014, Reykjavik, Iceland, April 22-25, 2014 2014 (0) 2014
    Conference paper
    Divyanshu Vats, Richard G. Baraniuk.
    Path Thresholding: Asymptotically Tuning-Free High-Dimensional Sparse Regression.
    Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, AISTATS 2014, Reykjavik, Iceland, April 22-25, 2014 2014 (0) 2014
    Conference paper
    Rebecca Willett, Marco F. Duarte, Mark A. Davenport, Richard G. Baraniuk.
    Sparsity and Structure in Hyperspectral Imaging : Sensing, Reconstruction, and Target Detection.
    IEEE Signal Process. Mag. 2014, Volume 31 (0) 2014
    Journal article
    Christopher A. Metzler, Arian Maleki, Richard G. Baraniuk.
    From Denoising to Compressed Sensing.
    CoRR 2014, Volume 0 (0) 2014
    Conference paper
    Andrew S. Lan, Christoph Studer, Richard G. Baraniuk.
    Matrix recovery from quantized and corrupted measurements.
    IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2014, Florence, Italy, May 4-9, 2014 2014 (0) 2014
    Conference paper
    Chinmay Hegde, Aswin C. Sankaranarayanan, Richard G. Baraniuk.
    LIE operators for compressive sensing.
    IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2014, Florence, Italy, May 4-9, 2014 2014 (0) 2014
    Conference paper
    Richard G. Baraniuk, Simon Foucart, Deanna Needell, Yaniv Plan, Mary Wootters.
    Exponential decay of reconstruction error from binary measurements of sparse signals.
    CoRR 2014, Volume 0 (0) 2014
    Conference paper
    Andrew S. Lan, Christoph Studer, Richard G. Baraniuk.
    Time-varying learning and content analytics via sparse factor analysis.
    The 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD '14, New York, NY, USA - August 24 - 27, 2014 2014 (0) 2014
    Conference paper
    Andrew S. Lan, Andrew E. Waters, Christoph Studer, Richard G. Baraniuk.
    Sparse factor analysis for learning and content analytics.
    Journal of Machine Learning Research 2014, Volume 15 (0) 2014
    Conference paper
    Aswin C. Sankaranarayanan, Richard G. Baraniuk.
    Compressive Sensing.
    Computer Vision, A Reference Guide 2014 (0) 2014
    Conference paper
    Tom Goldstein, Brendan O'Donoghue, Simon Setzer, Richard G. Baraniuk.
    Fast Alternating Direction Optimization Methods.
    SIAM J. Imaging Sciences 2014, Volume 7 (0) 2014
    Journal article
    Tom Goldstein, Christoph Studer, Richard G. Baraniuk.
    A Field Guide to Forward-Backward Splitting with a FASTA Implementation.
    CoRR 2014, Volume 0 (0) 2014
    Journal article
    Andrew S. Lan, Christoph Studer, Richard G. Baraniuk.
    Quantized Matrix Completion for Personalized Learning.
    CoRR 2014, Volume 0 (0) 2014
    Journal article
    Andrew S. Lan, Christoph Studer, Andrew E. Waters, Richard G. Baraniuk.
    Tag-Aware Ordinal Sparse Factor Analysis for Learning and Content Analytics.
    CoRR 2014, Volume 0 (0) 2014
    Conference paper
    Ali Ayremlou, Thomas A. Goldstein, Ashok Veeraraghavan, Richard G. Baraniuk.
    Fast Sublinear Sparse Representation using Shallow Tree Matching Pursuit.
    CoRR 2014, Volume 0 (0) 2014
    Conference paper
    Andrew S. Lan, Christoph Studer, Richard G. Baraniuk.
    Quantized Matrix Completion for Personalized Learning.
    Proceedings of the 7th International Conference on Educational Data Mining, EDM 2014, London, UK, July 4-7, 2014 2014 (0) 2014
    Conference paper
    Laura Anitori, Arian Maleki, Matern Otten, Richard G. Baraniuk, Peter Hoogeboom.
    Design and Analysis of Compressed Sensing Radar Detectors.
    IEEE Transactions on Signal Processing 2013, Volume 61 (0) 2013
    Journal article
    Armeen Taeb, Arian Maleki, Christoph Studer, Richard G. Baraniuk.
    Maximin Analysis of Message Passing Algorithms for Recovering Block Sparse Signals
    CoRR 2013, Volume 0 (0) 2013
    Journal article
    Andrew S. Lan, Andrew E. Waters, Christoph Studer, Richard G. Baraniuk.
    Sparse Factor Analysis for Learning and Content Analytics
    CoRR 2013, Volume 0 (0) 2013
    Journal article
    Eva L. Dyer, Aswin C. Sankaranarayanan, Richard G. Baraniuk.
    Greedy Feature Selection for Subspace Clustering
    CoRR 2013, Volume 0 (0) 2013
    Conference paper
    Laurent Jacques, Jason N. Laska, Petros Boufounos, Richard G. Baraniuk.
    Robust 1-Bit Compressive Sensing via Binary Stable Embeddings of Sparse Vectors.
    IEEE Transactions on Information Theory 2013, Volume 59 (0) 2013
    Journal article
    Andrew S. Lan, Christoph Studer, Andrew E. Waters, Richard G. Baraniuk.
    Joint Topic Modeling and Factor Analysis of Textual Information and Graded Response Data
    CoRR 2013, Volume 0 (0) 2013
    Conference paper
    Marco F. Duarte, Michael B. Wakin, Dror Baron, Shriram Sarvotham, Richard G. Baraniuk.
    Measurement Bounds for Sparse Signal Ensembles via Graphical Models.
    IEEE Transactions on Information Theory 2013, Volume 59 (0) 2013
    Conference paper
    Arian Maleki, Laura Anitori, Zai Yang, Richard G. Baraniuk.
    Asymptotic Analysis of Complex LASSO via Complex Approximate Message Passing (CAMP).
    IEEE Transactions on Information Theory 2013, Volume 59 (0) 2013
    Journal article
    Ali Mousavi, Arian Maleki, Richard G. Baraniuk.
    Asymptotic Analysis of LASSOs Solution Path with Implications for Approximate Message Passing.
    CoRR 2013, Volume 0 (0) 2013
    Conference paper
    Eva L. Dyer, Christoph Studer, Richard G. Baraniuk.
    Subspace clustering with dense representations.
    IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2013, Vancouver, BC, Canada, May 26-31, 2013 2013 (0) 2013
    Conference paper
    John P. Slavinsky, Kim J. Davenport, Andrew C. Butler, Elizabeth J. Marsh, Richard G. Baraniuk.
    Open online platforms advancing DSP education.
    IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2013, Vancouver, BC, Canada, May 26-31, 2013 2013 (0) 2013
    Conference paper
    Amirali Aghazadeh, Ali Ayremlou, Daniel D. Calderon, Tom Goldstein, Raajen Patel, Divyanshu Vats, Richard G. Baraniuk.
    Adaptive step size selection for optimization via the ski rental problem.
    IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2013, Vancouver, BC, Canada, May 26-31, 2013 2013 (0) 2013
    Journal article
    Tom Goldstein, Lina Xu, Kevin F. Kelly, Richard G. Baraniuk.
    The STONE Transform: Multi-Resolution Image Enhancement and Real-Time Compressive Video.
    CoRR 2013, Volume 0 (0) 2013
    Journal article
    Ali Mousavi, Arian Maleki, Richard G. Baraniuk.
    Parameterless Optimal Approximate Message Passing.
    CoRR 2013, Volume 0 (0) 2013
    Conference paper
    Aswin C. Sankaranarayanan, Pavan K. Turaga, Rama Chellappa, Richard G. Baraniuk.
    Compressive Acquisition of Linear Dynamical Systems.
    SIAM J. Imaging Sciences 2013, Volume 6 (0) 2013
    Journal article
    Divyanshu Vats, Richard G. Baraniuk.
    Swapping Variables for High-Dimensional Sparse Regression from Correlated Measurements.
    CoRR 2013, Volume 0 (0) 2013
    Conference paper
    Andrew S. Lan, Christoph Studer, Richard G. Baraniuk.
    Time-varying Learning and Content Analytics via Sparse Factor Analysis.
    CoRR 2013, Volume 0 (0) 2013
    Conference paper
    Divyanshu Vats, Richard G. Baraniuk.
    When in Doubt, SWAP: High-Dimensional Sparse Recovery from Correlated Measurements.
    Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013, Lake Tahoe, Nevada, United States. 2013 (0) 2013
    Conference paper
    Eva L. Dyer, Aswin C. Sankaranarayanan, Richard G. Baraniuk.
    Greedy feature selection for subspace clustering.
    Journal of Machine Learning Research 2013, Volume 14 (0) 2013
    Conference paper
    Laura Anitori, W. Van Rossum, Matern Otten, Arian Maleki, Richard G. Baraniuk.
    Compressive sensing radar: Simulation and experiments for target detection.
    21st European Signal Processing Conference, EUSIPCO 2013, Marrakech, Morocco, September 9-13, 2013 2013 (0) 2013
    Conference paper
    Andrew S. Lan, Christoph Studer, Andrew E. Waters, Richard G. Baraniuk.
    Tag-Aware Ordinal Sparse Factor Analysis for Learning and Content Analytics.
    Proceedings of the 6th International Conference on Educational Data Mining, Memphis, Tennessee, USA, July 6-9, 2013 2013 (0) 2013
    Conference paper
    Divyanshu Vats, Christoph Studer, Andrew S. Lan, Lawrence Carin, Richard G. Baraniuk.
    Test-size Reduction for Concept Estimation.
    Proceedings of the 6th International Conference on Educational Data Mining, Memphis, Tennessee, USA, July 6-9, 2013 2013 (0) 2013
    Conference paper
    Andrew S. Lan, Christoph Studer, Andrew E. Waters, Richard G. Baraniuk.
    Joint Topic Modeling and Factor Analysis of Textual Information and Graded Response Data.
    Proceedings of the 6th International Conference on Educational Data Mining, Memphis, Tennessee, USA, July 6-9, 2013 2013 (0) 2013
    Conference paper
    Andrew E. Waters, Christoph Studer, Richard G. Baraniuk.
    Bayesian pairwise collaboration detection in educational datasets.
    IEEE Global Conference on Signal and Information Processing, GlobalSIP 2013, Austin, TX, USA, December 3-5, 2013 2013 (0) 2013
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