Author Archives: jkh6

A Probabilistic Theory of Deep Learning

A. Patel, T. Nguyen, and R. G. Baraniuk, “A Probabilistic Theory of Deep Learning,” arXiv preprint, arxiv.org/abs/1504.00641, 2 April 2015.  Updated version from NIPS 2016. Abstract: A grand challenge in machine learning is the development of computational algorithms that match or … Continue reading

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Putting a Dent in College Costs With Open-Source Textbooks

By Ann Carrns, 25 February 2015 College students could save an average of $128 a course if traditional textbooks were replaced with free or low-cost “open-source” electronic versions, a new report finds. Textbook costs are particularly burdensome for students at … Continue reading

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Personalized Learning Workshop, Take 3

The Rice/OpenStax Workshop on Personalized Learning will be held Wednesday, 1 April 2015 on the Rice University campus in Houston, Texas. The previous two workshops in 2013 and 2014 have focused on Scaling Up Success in computer-based learning and Bridging … Continue reading

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ELEC301x – Discrete Time Signals and Systems – Live on edX!

ELEC301x – Discrete Time Signals and Systems (Part 1 – Time Domain) ELEC301x – Discrete Time Signals and Systems (Part 2 – Frequency Domain) Enter the world of signal processing: analyze and extract meaning from the signals around us! About … Continue reading

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If You Like FISTA, You’re Going to Love FASTA!

T. Goldstein, C. Studer, and R. G. Baraniuk, “A Field Guide to Forward-Backward Splitting with a FASTA Implementation,” arXiv preprint, arxiv.org/abs/1411.3406, December 2014 Non-differentiable and constrained optimization play a key role in machine learning, signal and image processing, communications, and … Continue reading

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Mathematical Language Processing

A. Lan, D. Vats, A. Waters, and R. G. Baraniuk, “Mathematical Language Processing: Automatic Grading and Feedback for Open Response Mathematical Questions,” ACM Conference on Learning at Scale, Vancouver, March 2015. Abstract:  While computer and communication technologies have provided effective … Continue reading

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All Your Rankings Are Belong to Us

A. Waters, D. Tinapple, and R. G. Baraniuk, “BayesRank: A Bayesian Approach to Ranked Peer Grading,” ACM Conference on Learning at Scale, Vancouver, March 2015. Abstract: Advances in online and computer supported education afford exciting opportunities to revolutionize the classroom, … Continue reading

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IEEE Signal Processing Society Technical Achievement Award

Richard Baraniuk, the Victor E. Cameron Professor of Electrical and Computer Engineering at Rice University, has been named recipient of the 2014 IEEE Signal Processing Society Technical Achievement Award for “contributions to the theory and applications of sparsity and compressive … Continue reading

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IEEE James H. Mulligan Jr. Education Medal

Richard Baraniuk, the founder and director of OpenStax College and Rice’s Victor E. Cameron Professor of Electrical and Computer Engineering, has been named recipient of the 2015 IEEE James H. Mulligan Jr. Education Medal. The medal, presented annually since 1956 … Continue reading

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Who’s Working with Whom?

A. Waters, C. Studer, and R. G. Baraniuk, “Collaboration-Type Identification in Educational Datasets,” Journal of Educational Data Mining, Vol. 6, No. 1, 2014. Abstract:  Identifying collaboration between learners in a course is an important challenge in education for two reasons: … Continue reading

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