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1First time seeing a rare event
https://www.johndcook.com/blog/2023/08/30/first-time-seeing-a-rare-event/
8 months ago by @bshanks
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1Thanks! While the original CrossCat paper focused on binary features, it is in f... | Hacker News
https://news.ycombinator.com/item?id=6865707
2 years ago by @bshanks
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1Bayes Rules! An Introduction to Applied Bayesian Modeling
https://www.bayesrulesbook.com/
2 years ago by @bshanks
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1Mathematics, Statistics and Probability
Mathematics and Statistics by Joe Watkins
4 years ago by @kirk86
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2Interactive Mathematics Miscellany and Puzzles
Interactive Mathematics Miscellany and Puzzles
4 years ago by @kirk86
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1Courses By Michael Jordan
Courses into CS and Stats
4 years ago by @kirk86
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1Probabilistic Modeling
CS 6190: Probabilistic Modeling 2018
4 years ago by @kirk86
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1Goodness of Fit for Latent Variable Models
The goodness of Fit for Latent Variable Models ICML 2019 Workshop
4 years ago by @kirk86
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1GANs with Integrable Probability Metric
GANs with Integrable Probability Metric
4 years ago by @kirk86
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1Measures on Probability Distributions
Measures on Probability Distributions NeurIPS 2019
4 years ago by @kirk86
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1Probabilistic Circuits Stanford 2019
Probabilistic Circuits Stanford 2019
4 years ago by @kirk86
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2Graduate Summer School: Intelligent Extraction of Information from Graphs and High Dimensional Data (Schedule) - IPAM
Graduate Summer School: Intelligent Extraction of Information from Graphs and High Dimensional Data (Schedule) - IPAM
4 years ago by @kirk86
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1Edward Ionides Homepage - Courses in Probability and Stats
Probability and Stats courses
5 years ago by @kirk86
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1Probability and Stats 620 - Edward Ionides
Probability and Stats 620 - Edward Ionides
5 years ago by @kirk86
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1Probability and Stats Course
Probability and Stats Course
5 years ago by @kirk86
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1Probabilistic Machine Learning 4f13 Michaelmas 2018
Probabilistic Machine Learning 2018 Course @ Cambridge
5 years ago by @kirk86
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1Probabilistic Models @ Brown CS295P Spring 2013 S
Probabilistic Models Course @ Brown
5 years ago by @kirk86
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1MIT Statistical Learning Fall 2019
MIT Course on Statistical Learning Fall 2019
5 years ago by @kirk86
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1Luca Trevisan Lecture Notes on Theoretical CS and ML
Luca Trevisan Lecture Notes on Theoretical CS, ML and Optim
5 years ago by @kirk86
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1Readings | Introduction to Probability and Statistics | Mathematics | MIT OpenCourseWare
Introduction to Probability and Statistics | MIT OpenCourseWare
5 years ago by @kirk86
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publications (hide)109
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2A guide to Brownian motion and related stochastic processes
J. Pitman, and M. Yor. (2018)cite arxiv:1802.09679Comment: 101 pages.
3 years ago by @kirk86
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processes
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1Analysis and Geometry of Markov Diffusion Operators
D. Bakry, I. Gentil, and M. Ledoux. (2014)
4 years ago by @kirk86
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2Which Distribution Distances are Sublinearly Testable?
C. Daskalakis, G. Kamath, and J. Wright. (2017)cite arxiv:1708.00002Comment: To appear in SODA 2018.
4 years ago by @kirk86
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2A Compendium of Conjugate Priors
D. Fink. (1997)
4 years ago by @kirk86
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1An Introduction to Random Matrices
G. Anderson, A. Guionnet, E. Lyon, and O. Zeitouni. (2009)
4 years ago by @kirk86
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2Topics in random matrix theory
T. Tao. (2011)
4 years ago by @kirk86
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1Asymptotic normality of robust risk minimizers
S. Minsker. (2020)cite arxiv:2004.02328.
4 years ago by @kirk86
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asymptotics
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asymptoticsprobabilityreadingsrobustnessstatstheory
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1A short note on learning discrete distributions
C. Canonne. (2020)cite arxiv:2002.11457Comment: This is a review article; its intent is not to provide new results, but instead to gather known (and useful) ones, along with their proofs, in a single convenient location.
4 years ago by @kirk86
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learning
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learningprobabilityreadingsstatstutorials
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3Learning Structured Distributions From Untrusted Batches: Faster and Simpler
S. Chen, J. Li, and A. Moitra. (2020)cite arxiv:2002.10435Comment: 34 pages.
4 years ago by @kirk86
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2Learning transformed product distributions
C. Daskalakis, I. Diakonikolas, and R. Servedio. (2011)cite arxiv:1103.0598.
4 years ago by @kirk86
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2Learning Poisson Binomial Distributions
C. Daskalakis, I. Diakonikolas, and R. Servedio. (2011)cite arxiv:1107.2702Comment: Revised full version. Improved sample complexity bound of O~(1/eps^2).
4 years ago by @kirk86
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2On the Distribution of the Fourier Spectrum of Halfspaces
I. Diakonikolas, R. Jaiswal, R. Servedio, L. Tan, and A. Wan. (2012)cite arxiv:1202.6680.
4 years ago by @kirk86
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2Optimal Algorithms for Testing Closeness of Discrete Distributions
S. Chan, I. Diakonikolas, G. Valiant, and P. Valiant. (2013)cite arxiv:1308.3946.
4 years ago by @kirk86
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2Learning Multivariate Log-concave Distributions
I. Diakonikolas, D. Kane, and A. Stewart. (2016)cite arxiv:1605.08188Comment: To appear in COLT 2017.
4 years ago by @kirk86
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2Efficient Robust Proper Learning of Log-concave Distributions
I. Diakonikolas, D. Kane, and A. Stewart. (2016)cite arxiv:1606.03077.
4 years ago by @kirk86
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3Fourier-Based Testing for Families of Distributions
C. Canonne, I. Diakonikolas, and A. Stewart. (2017)cite arxiv:1706.05738.
4 years ago by @kirk86
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1Multinomial Concentration in Relative Entropy at the Ratio of Alphabet and Sample Sizes
R. Agrawal. (2019)cite arxiv:1904.02291.
4 years ago by @kirk86
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1Learning deep kernels for exponential family densities
L. Wenliang, D. Sutherland, H. Strathmann, and A. Gretton. (2018)cite arxiv:1811.08357.
4 years ago by @kirk86
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1Theory of Distributions
G. Hormann, and R. Steinbauer. (2009)
4 years ago by @kirk86
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1Statistical Mechanics of Deep Learning
Y. Bahri, J. Kadmon, J. Pennington, S. Schoenholz, J. Sohl-Dickstein, and S. Ganguli. Annual Review of Condensed Matter Physics, 11 (1): null (2020)
4 years ago by @kirk86
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