Lesezeichen (verstecken)627
- Textbook for a second course in linear algebra aimed at undergrad math majors and graduate students.
- Bruce Hajek and Maxim Raginsky: Statistical Learning Theory
- RL theory seminars
- Session I | Mathematical Methods for Arbitrary Data Sources (MADS)
- Virtual Math seminar on open conjectures on number theory and geometry
- Mathematical foundations of data science
- Dimensionality Reduction Notes and More
- Markov Chain Monte Carlo Methods
- CS Theory Online Talks The goal of this website is to help find online talks which could be of interest to students and researchers in CS theory. As many of us are home now and cannot travel, this can help us stay connected. Submit new talk (please first check if the talk is not already…
- Welcome to researchseminars.org, a list of research seminars and conferences!
- Combinatorics colloquium
- Oxford Discrete Mathematics and Probability Online Seminar
- a seminar series by by UT Austin Foundations of Data Science (an NSF TRIPODS institute)
- Online Causal Inference Seminars
- 2nd L4DC Conference - Accepted Papers
- Computational Statistics in Python Course
- Courses for Numerical Sampling and Inference at Duke
- Open Online Probability School
- Probabilistic Programming Course
- Dissertation Advice, by Olin Shivers
Publikationen (verstecken)2111
- (2019)cite arxiv:1912.08335Comment: Camera-Ready Version. NeurIPS 2020. Minor changes.
- (2019)cite arxiv:1910.04102Comment: A python package for carrying out our validated variational inference workflow -- including doing black-box variational inference and computing the bounds we develop in this paper -- is available at https://github.com/jhuggins/viabel. The same repository also contains code for reproducing all of our experiments.
- (2020)cite arxiv:2012.00174.
- (2021)cite arxiv:2101.08176Comment: 38 pages, 5 numbered figures, Jupyter notebook included as ancillary file.
- (2020)cite arxiv:2011.02258Comment: 55 pages. Communications in Mathematical Research. (to appear, invited review paper).
- (2016)
- (2011)
- (2012)
- (2011)
- (2003)
- (2018)cite arxiv:1802.09679Comment: 101 pages.
- (2021)cite arxiv:2103.13462Comment: This is the Chapter 21 of the book "Beyond the Worst-Case Analysis of Algorithms".
- (2021)cite arxiv:2105.10386Comment: First edition originally published April 2014, in hardcover book format by Cambridge University Press, and electronically on the author's website. This arXiv version corrects 100+ typos and errors, but is otherwise essentially the same.
- (2021)cite arxiv:2105.11384Comment: 48 pages.
- (2020)cite arxiv:2012.08496.
- (2021)cite arxiv:2106.00444Comment: Correcting an (instructive) error that leads to a weaker result.
- (2021)cite arxiv:2106.02808.
- (2021)cite arxiv:2106.03791Comment: 12 pages + 34 pages of Appendix, 10 figures.
- (2021)cite arxiv:2106.02081Comment: 9 pages + appendix (total 28 pages).
- (2021)cite arxiv:2106.00514Comment: 15 pages.
