tag :: stats theory | BibSonomy

bookmarks (hide)32
display
all
bookmarks only
bookmarks per page
5
10
20
50
100
sort by
added at
title
RSS
BibTeX
XML

1Statistical Learning Theory
Bruce Hajek and Maxim Raginsky: Statistical Learning Theory
4 years ago by @kirk86
show all tags
course
learning
notes
stats
theory
website
courselearningnotesstatstheorywebsite
(0)
copydelete
- community post
- history of this post
1Luca Trevisan Lecture Notes on Theoretical CS and ML
Luca Trevisan Lecture Notes on Theoretical CS, ML and Optim
5 years ago by @kirk86
show all tags
complexity
computation
course
lecture
notes
optimization
probability
stats
theory
website
complexitycomputationcourselecturenotesoptimizationprobabilitystatstheorywebsite
(0)
copydelete
- community post
- history of this post
1Statistical Machine Learning
Statistical Machine Learning @ CMU by Ryan Tibshirani
5 years ago by @kirk86
show all tags
course
learning
lecture
notes
stats
theory
courselearninglecturenotesstatstheory
(0)
copydelete
- community post
- history of this post
1Anatoli Juditsky's page - Lectures
Statistical Theory and Convex Optimisation
5 years ago by @kirk86
show all tags
lecture
notes
optimization
stats
theory
website
lecturenotesoptimizationstatstheorywebsite
(0)
copydelete
- community post
- history of this post
1Computer Science 294: Practical Machine Learning
Computer Science 294: Practical Machine Learning by Michael Jordan
5 years ago by @kirk86
show all tags
course
lecture
machine-learning
notes
optimization
stats
theory
website
courselecturemachine-learningnotesoptimizationstatstheorywebsite
(0)
copydelete
- community post
- history of this post
1CSE 291 Fall 2012: Learning Theory
Fall 2012: Learning Theory Course Material
5 years ago by @kirk86
show all tags
course
learning
lecture
notes
stats
theory
website
courselearninglecturenotesstatstheorywebsite
(0)
copydelete
- community post
- history of this post
1Introduction to the Bootstrap
Introduction to the Bootstrap, Stats Theory
5 years ago by @kirk86
show all tags
course
stats
theory
tutorials
website
coursestatstheorytutorialswebsite
(0)
copydelete
- community post
- history of this post
1The Art of Data Augmentation
The Art of Data/Variable Augmentation
5 years ago by @kirk86
show all tags
probability
stats
theory
probabilitystatstheory
(0)
copydelete
- community post
- history of this post
1Handbook of Graphical Models
Handbook of Graphical Models by Statisticians
5 years ago by @kirk86
show all tags
bayesian
book
graphs
probability
stats
theory
bayesianbookgraphsprobabilitystatstheory
(0)
copydelete
- community post
- history of this post
1Information theory and f-divergences
Information Theoretic Divergences
5 years ago by @kirk86
show all tags
information
stats
theory
informationstatstheory
(0)
copydelete
- community post
- history of this post
1Introduction to Statistical Learning Theory
Introduction to Statistical Learning Theory
5 years ago by @kirk86
show all tags
foundations
learning
mathematics
probability
stats
theory
foundationslearningmathematicsprobabilitystatstheory
(0)
copydelete
- community post
- history of this post
1MIT OCW SLT Spring 2007
MIT OCW SLT Spring 2007
5 years ago by @kirk86
show all tags
course
machine-learning
probability
stats
theory
coursemachine-learningprobabilitystatstheory
(0)
copydelete
- community post
- history of this post
1Statistics 231 / CS229T: Statistical Learning Theory
Statistical Learning theory Stanford - Combination of great notes from multiple sources
5 years ago by @kirk86
show all tags
course
foundations
mathematics
probability
stats
theory
coursefoundationsmathematicsprobabilitystatstheory
(0)
copydelete
- community post
- history of this post
1Interactions between Compressed sensing Random matrices and High dimensional geometry
http://lecueguillaume.github.io/assets/CSbook.pdf
5 years ago by @kirk86
show all tags
book
foundations
geometry
mathematics
probability
stats
theory
bookfoundationsgeometrymathematicsprobabilitystatstheory
(0)
copydelete
- community post
- history of this post
118.S997 High-Dimensional Statistics: Complete Lecture Notes
https://ocw.mit.edu/courses/mathematics/18-s997-high-dimensional-statistics-spring-2015/lecture-notes/MIT18_S997S15_CourseNotes.pdf
5 years ago by @kirk86
show all tags
book
mathematics
probability
stats
theory
bookmathematicsprobabilitystatstheory
(0)
copydelete
- community post
- history of this post
1A review of mathematical topics in collisional kinetic theory
https://www.cedricvillani.org/sites/dev/files/old_images/2012/08/preprint.pdf
5 years ago by @kirk86
show all tags
book
mathematics
probability
stats
theory
bookmathematicsprobabilitystatstheory
(0)
copydelete
- community post
- history of this post
1SYNTHETIC THEORY OF RICCI CURVATURE BOUNDS
https://www.cedricvillani.org/sites/dev/files/old_images/2015/07/takagi-2.pdf
5 years ago by @kirk86
show all tags
bounds
flows
mathematics
optimal-transport
probability
stats
theory
boundsflowsmathematicsoptimal-transportprobabilitystatstheory
(0)
copydelete
- community post
- history of this post
1X—Outline of a Theory of Statistical Estimation Based on the Classical Theory of Probability
https://royalsocietypublishing.org/doi/pdf/10.1098/rsta.1937.0005
5 years ago by @kirk86
show all tags
foundations
machine-learning
probability
stats
theory
foundationsmachine-learningprobabilitystatstheory
(0)
copydelete
- community post
- history of this post
1Fundamentals of Mathematical Statistics – Seminar for Statistics | ETH Zurich
https://stat.ethz.ch/lectures/as18/mathstat.php#course_materials
5 years ago by @kirk86
show all tags
course
foundations
mathematics
stats
theory
website
coursefoundationsmathematicsstatstheorywebsite
(0)
copydelete
- community post
- history of this post
3Statistical Machine Learning, Spring 2018 by Larry Wasserman
Statistical Machine Learning, Spring 2018 by Larry Wasserman
5 years ago by @kirk86
show all tags
course
machine-learning
mathematics
probability
stats
theory
website
coursemachine-learningmathematicsprobabilitystatstheorywebsite
(0)
copydelete
- community post
- history of this post

⟨⟨
⟨
1
2
⟩
⟩⟩

publications (hide)55
display
all
publications only
publications per page
5
10
20
50
100
sort by
added at
title
author
publication date
entry type
help for advanced sorting...
RSS
BibTeX
RDF
more...

2Entropy and the Discrete Central Limit Theorem
L. Gavalakis, and I. Kontoyiannis. (2021)cite arxiv:2106.00514Comment: 15 pages.
3 years ago by @kirk86
show all tags
entropy
information
readings
stats
theory
entropyinformationreadingsstatstheory
(0)
copydeleteadd this publication to your clipboard
1Statistical Learning Theory: Models, Concepts, and Results
U. von Luxburg, and B. Schoelkopf. (2008)cite arxiv:0810.4752.
4 years ago by @kirk86
show all tags
learning
mathematics
readings
stats
theory
learningmathematicsreadingsstatstheory
(0)
copydeleteadd this publication to your clipboard
1Asymptotic normality of robust risk minimizers
S. Minsker. (2020)cite arxiv:2004.02328.
4 years ago by @kirk86
show all tags
asymptotics
probability
readings
robustness
stats
theory
asymptoticsprobabilityreadingsrobustnessstatstheory
(0)
copydeleteadd this publication to your clipboard
1Minimax optimality of permutation tests
I. Kim, S. Balakrishnan, and L. Wasserman. (2020)cite arxiv:2003.13208.
4 years ago by @kirk86
show all tags
game-theory
hypothesis-testing
readings
stats
theory
game-theoryhypothesis-testingreadingsstatstheory
(0)
copydeleteadd this publication to your clipboard
2Double Explore-then-Commit: Asymptotic Optimality and Beyond
T. Jin, P. Xu, X. Xiao, and Q. Gu. (2020)cite arxiv:2002.09174Comment: 26 pages.
4 years ago by @kirk86
show all tags
asymptotics
bandits
information
readings
stats
theory
asymptoticsbanditsinformationreadingsstatstheory
(0)
copydeleteadd this publication to your clipboard
1Influence Functions for Machine Learning: Nonparametric Estimators for Entropies, Divergences and Mutual Informations
K. Kandasamy, A. Krishnamurthy, B. Poczos, L. Wasserman, and J. Robins. (2014)cite arxiv:1411.4342.
4 years ago by @kirk86
show all tags
information
non-parametric
readings
stats
theory
informationnon-parametricreadingsstatstheory
(0)
copydeleteadd this publication to your clipboard
1An Introduction to Statistical Learning Theory
J. Shawe-Taylor. (2011)
4 years ago by @kirk86
show all tags
learning
stats
theory
learningstatstheory
(0)
copydeleteadd this publication to your clipboard
1Statistical behavior and consistency of classification methods based on convex risk minimization
T. Zhang. The Annals of Statistics, 32 (1): 56--134 (February 2003)
4 years ago by @kirk86
show all tags
bayesian
convex
misspecification
optimization
readings
stats
theory
bayesianconvexmisspecificationoptimizationreadingsstatstheory
(0)
copydeleteadd this publication to your clipboard
3Memory capacity of neural networks with threshold and ReLU activations
R. Vershynin. (2020)cite arxiv:2001.06938Comment: 25 pages.
4 years ago by @kirk86
show all tags
information
memory
readings
stats
theory
informationmemoryreadingsstatstheory
(0)
copydeleteadd this publication to your clipboard
1Improved Central Limit Theorem and bootstrap approximations in high dimensions
V. Chernozhukov, D. Chetverikov, K. Kato, and Y. Koike. (2019)cite arxiv:1912.10529Comment: 53 pages.
4 years ago by @kirk86
show all tags
approximate
bayesian
probability
readings
stats
theory
approximatebayesianprobabilityreadingsstatstheory
(0)
copydeleteadd this publication to your clipboard
3Random Restrictions of High-Dimensional Distributions and Uniformity Testing with Subcube Conditioning
C. Canonne, X. Chen, G. Kamath, A. Levi, and E. Waingarten. (2019)cite arxiv:1911.07357Comment: 40 pages.
4 years ago by @kirk86
show all tags
bounds
learning
probability
readings
stats
theory
boundslearningprobabilityreadingsstatstheory
(0)
copydeleteadd this publication to your clipboard
1Fast and Fair Simultaneous Confidence Bands for Functional Parameters
D. Liebl, and M. Reimherr. (2019)cite arxiv:1910.00131.
5 years ago by @kirk86
show all tags
bounds
readings
stats
theory
uncertainty
boundsreadingsstatstheoryuncertainty
(0)
copydeleteadd this publication to your clipboard
2On Universal Approximation by Neural Networks with Uniform Guarantees on Approximation of Infinite Dimensional Maps
W. Guss, and R. Salakhutdinov. (2019)cite arxiv:1910.01545Comment: 12 pages.
5 years ago by @kirk86
show all tags
bounds
deep-learning
readings
stats
theory
boundsdeep-learningreadingsstatstheory
(0)
copydeleteadd this publication to your clipboard
5Data-dependent Sample Complexity of Deep Neural Networks via Lipschitz Augmentation
C. Wei, and T. Ma. (2019)cite arxiv:1905.03684.
5 years ago by @kirk86
show all tags
bounds
deep-learning
generalization
optimization
probability
readings
stats
theory
boundsdeep-learninggeneralizationoptimizationprobabilityreadingsstatstheory
(0)
copydeleteadd this publication to your clipboard
2Modular Meta-Learning with Shrinkage
Y. Chen, A. Friesen, F. Behbahani, D. Budden, M. Hoffman, A. Doucet, and N. de Freitas. (2019)cite arxiv:1909.05557Comment: 14 pages (4 main, 8 supplement), under review.
5 years ago by @kirk86
show all tags
bayesian
graphs
hierarchical
markov-processes
meta-learning
optimization
stats
theory
bayesiangraphshierarchicalmarkov-processesmeta-learningoptimizationstatstheory
(0)
copydeleteadd this publication to your clipboard
2Optimal multiclass overfitting by sequence reconstruction from Hamming queries
J. Acharya, and A. Suresh. (2019)cite arxiv:1908.03156.
5 years ago by @kirk86
show all tags
learning
stats
theory
learningstatstheory
(0)
copydeleteadd this publication to your clipboard
2Orthogonal Statistical Learning
D. Foster, and V. Syrgkanis. (2019)cite arxiv:1901.09036.
5 years ago by @kirk86
show all tags
bounds
generalization
learning
stats
theory
boundsgeneralizationlearningstatstheory
(0)
copydeleteadd this publication to your clipboard
1Semidefinite approximations of the matrix logarithm
H. Fawzi, J. Saunderson, and P. Parrilo. (2017)cite arxiv:1705.00812Comment: 31 pages, Introduction rewritten and numerous small changes throughout.
5 years ago by @kirk86
show all tags
foundations
mathematics
probability
readings
stats
theory
foundationsmathematicsprobabilityreadingsstatstheory
(0)
copydeleteadd this publication to your clipboard
4An Introduction to Matrix Concentration Inequalities
J. Tropp. (2015)cite arxiv:1501.01571Comment: 163 pages. To appear in Foundations and Trends in Machine Learning.
5 years ago by @kirk86
show all tags
book
foundations
mathematics
probability
stats
theory
bookfoundationsmathematicsprobabilitystatstheory
(0)
copydeleteadd this publication to your clipboard
1Concentration of Measure Inequalities in Information Theory, Communications and Coding (Second Edition)
M. Raginsky, and I. Sason. (2012)cite arxiv:1212.4663Comment: Foundations and Trends in Communications and Information Theory, vol. 10, no 1-2, pp. 1-248, 2013. Second edition was published in October 2014. ISBN to printed book: 978-1-60198-906-2.
5 years ago by @kirk86
show all tags
book
mathematics
probability
stats
theory
bookmathematicsprobabilitystatstheory
(0)
copydeleteadd this publication to your clipboard

⟨⟨
⟨
1
2
3
⟩
⟩⟩