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110 of 126 Reviews about "
Probabilistic Computation (F.1.2...)
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Date Reviewed
A domain theory for statistical probabilistic programming
Vákár M., Kammar O., Staton S. Proceedings of the ACM on Programming Languages 3(POPL): 129, 2019. Type: Article
On the one hand, a statistical programming language is similar to a traditional programming language, but with libraries providing statistical functions. Examples are Mathematica, MATLAB, and the omnipresent R. On the other hand, probabilistic pro...
Aug 6 2020
Bayesian synthesis of probabilistic programs for automatic data modeling
Saad F., CusumanoTowner M., Schaechtle U., Rinard M., Mansinghka V. Proceedings of the ACM on Programming Languages 3(POPL): 132, 2019. Type: Article
Somewhat overshadowed by neural networks (NN) is another thread in machine learning: the Bayesianbased approach. Less data hungry, it also has the promise of being closer to explainable artificial intelligence (XAI), although it hasn’t had ...
Jun 3 2020
Probability and computing: randomization and probabilistic techniques in algorithms and data analysis (2nd ed.)
Mitzenmacher M., Upfal E., Cambridge University Press, New York, NY, 2017. 484 pp. Type: Book (9781107154889), Reviews: (2 of 2)
Probability in computer science plays the same role as in physics: while there is a large corpus of theories and methodologies based on a purely deterministic underpinning, the introduction of probability opens the door to a vast field of new theo...
Jul 10 2018
Conditioning in probabilistic programming
Olmedo F., Gretz F., Jansen N., Kaminski B., Katoen J., Mciver A. ACM Transactions on Programming Languages and Systems 40(1): 150, 2018. Type: Article
Machine learning, possibly contrary to popular belief, is not just about endless variations of neural networks. There is also a thriving subculture of probabilistic programming based on Bayesian principles. A large advantage of the latter approach...
Jun 13 2018
Probability and computing: randomization and probabilistic techniques in algorithms and data analysis (2nd ed.)
Mitzenmacher M., Upfal E., Cambridge University Press, New York, NY, 2017. 484 pp. Type: Book (9781107154889), Reviews: (1 of 2)
It is one of the great paradoxes of modern science that useful computation can be done by making random choices. This insight would be impressive even if the computation in question were contrived, but in many cases probabilistic algorithms can so...
Mar 15 2018
Discrete probability models and methods: probability on graphs and trees, Markov chains and random fields, entropy and coding
BrÃ©maud P., Springer International Publishing, New York, NY, 2017. 559 pp. Type: Book (9783319434759)
Due to advances in both theory and practice, there has been a recent explosion in courses on network science and data science. These demand a solid background in probabilistic methods....
Feb 21 2018
Probability on trees and networks
Lyons R., Peres Y., Cambridge University Press, New York, NY, 2016.Type: Book (9781107160156)
Information and communications technology (ICT) specialists might be interested in this tough mathematical book. For sure, this is not a work that can be easily read to relax in the evening, since a lot of background knowledge is necessary to unde...
Jul 19 2017
Probability logics: probabilitybased formalization of uncertain reasoning
Ognjanović Z., Rašković M., Marković Z., Springer International Publishing, New York, NY, 2016. 215 pp. Type: Book (9783319470115)
Combinations of probability and logic have been a topic of interest since the seminal work of Boole [1], and they have always occupied a place of relevance in foundational studies of probability. However, the direction of development has been cons...
Jun 5 2017
Recent contributions in intelligent systems
Sgurev V., Yager R., Kacprzyk J., Atanassov K., Springer International Publishing, New York, NY, 2016. 390 pp. Type: Book (9783319414379)
This is a collection of the best papers from the 2012 IEEE Intelligent Systems Conference, which was held in Sofia, Bulgaria in September 2012. The average length of the papers in this volume is 20 pages. Since there are 20 papers in all, I will t...
May 25 2017
Bayesian methods in the search for MH370
Davey S., Gordon N., Holland I., Rutten M., Williams J., Springer International Publishing, New York, NY, 2016. 114 pp. Type: Book
One can seldom consider mathematicsheavy books as exciting pageturners. Yet,
Bayesian methods in the search for MH370
is so far the best one I have encountered that could stand up to such a description. Published by Springer in its “...
Apr 21 2017
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