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1WS 18/19 | Informatik 2
Probabilistic Programming Course
4 years ago by @kirk86
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1Open Online Probability School
Open Online Probability School
4 years ago by @kirk86
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1Courses for Numerical Sampling and Inference
Courses for Numerical Sampling and Inference at Duke
4 years ago by @kirk86
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1Computational Statistics in Python
Computational Statistics in Python Course
4 years ago by @kirk86
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1Markov Chain Monte Carlo Methods
Markov Chain Monte Carlo Methods
4 years ago by @kirk86
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1Dimensionality Reduction Notes
Dimensionality Reduction Notes and More
4 years ago by @kirk86
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1VaNTAGe math
Virtual Math seminar on open conjectures on number theory and geometry
4 years ago by @kirk86
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1Statistical Learning Theory
Bruce Hajek and Maxim Raginsky: Statistical Learning Theory
4 years ago by @kirk86
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1Michel Goemans - Teaching
Math, Theoretical CS, Stats and Optimization courses
4 years ago by @kirk86
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1Optimization and Machine Learning Seminar
Optimization and Machine Learning Seminar
4 years ago by @kirk86
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1Lectures in Geometric Functional Analysis
R. Vershynin. (2011)
3 years ago by @kirk86
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1INTERACTIONS BETWEEN COMPRESSED SENSING RANDOM MATRICES AND HIGH DIMENSIONAL GEOMETRY
D. Chafaï, O. Guédon, ‪. Lecué, and A. Pajor. (2012)
3 years ago by @kirk86
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2Topics in random matrix theory
T. Tao. (2011)
3 years ago by @kirk86
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2Probability in High Dimensions
R. Van Handel. (2016)
3 years ago by @kirk86
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3Lecture Notes: Optimization for Machine Learning
E. Hazan. (2019)cite arxiv:1909.03550.
4 years ago by @kirk86
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3Discrete Mathematics for Computer Science, Some Notes
J. Gallier. (2008)cite arxiv:0805.0585Comment: 255 pages.
4 years ago by @kirk86
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1LECTURE NOTES ON INFORMATION THEORY
Y. Polyanskiy, Y. Wu, and M. Raginsky. (2019)
4 years ago by @kirk86
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1LECTURE NOTES ON INFORMATION THEORY
Y. Polyanskiy, and Y. Wu. (2019)
4 years ago by @kirk86
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1Introduction to Quantum Information Science
S. Aaronson. (2018)
4 years ago by @kirk86
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1A Graduate Course in Applied Cryptography
D. Boneh, and V. Shoup. (2015)
4 years ago by @kirk86
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1Limits of Approximation Algorithms: PCPs and Unique Games (DIMACS Tutorial Lecture Notes)
P. Harsha, and M. Charikar. (2010)
4 years ago by @kirk86
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1Introduction to Semidefinite Programming (SDP)
R. Freund. (2009)
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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1Reversible Markov Chains and Random Walks on Graphs
D. Aldous, and J. Fill. (2014)
4 years ago by @kirk86
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1Markov Decision Processes: Lecture Notes for STP 425
J. Taylor. (2012)
4 years ago by @kirk86
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1Stochastic Control
N. Walton. (2020)
4 years ago by @kirk86
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1Brief notes on Multidimensional Calculus
G. Iyer. (2015)
4 years ago by @kirk86
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1Vector Analysis
G. Leoni. (2015)
4 years ago by @kirk86
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1Stochastic Calculus for Finance Brief Lecture Notes
G. Iyer. (2019)
4 years ago by @kirk86
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BibSonomy

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1WS 18/19 | Informatik 2

1Open Online Probability School

1Courses for Numerical Sampling and Inference

1Computational Statistics in Python

1Markov Chain Monte Carlo Methods

1Dimensionality Reduction Notes

1VaNTAGe math

1Statistical Learning Theory

1Michel Goemans - Teaching

1Optimization and Machine Learning Seminar

publications (hide)34
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1Lectures in Geometric Functional Analysis

1INTERACTIONS BETWEEN COMPRESSED SENSING RANDOM MATRICES AND HIGH DIMENSIONAL GEOMETRY

2Topics in random matrix theory

2Probability in High Dimensions

3Lecture Notes: Optimization for Machine Learning

3Discrete Mathematics for Computer Science, Some Notes

1LECTURE NOTES ON INFORMATION THEORY

1LECTURE NOTES ON INFORMATION THEORY

1Introduction to Quantum Information Science

1A Graduate Course in Applied Cryptography

1Limits of Approximation Algorithms: PCPs and Unique Games (DIMACS Tutorial Lecture Notes)

1Introduction to Semidefinite Programming (SDP)

1An Introduction to Random Matrices

2Topics in random matrix theory

1Reversible Markov Chains and Random Walks on Graphs

1Markov Decision Processes: Lecture Notes for STP 425

1Stochastic Control

1Brief notes on Multidimensional Calculus

1Vector Analysis

1Stochastic Calculus for Finance Brief Lecture Notes

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