Frederic Koehler
Hi! I am an Assistant Professor of Statistics and Data Science at the University of Chicago. I am also a member of the Committee on Computational and Applied Mathematics. Previously I was at Stanford University as a Motwani Postdoctoral Fellow in the Department of Computer Science. Right before, I was a research fellow in UC Berkeley's Simons Institute in the Program on Computational Complexity of Statistical Inference. I received my PhD in Mathematics and Statistics from MIT, where I was coadvised by Ankur Moitra and Elchanan Mossel, and before that I received my undergraduate degree in Mathematics at Princeton University. I am interested in machine learning, theoretical computer science, and high-dimensional probability and statistics. Some recent topics of interest include generalization theory, algorithms for learning and inference in graphical models, sampling algorithms and generative modeling, related aspects of statistical physics, etc. Please feel free to reach out --- unfortu
Frederic Koehler Frederic Koehler Hi! I am an Assistant Professor of Statistics and Data Science at the University of Chicago. I am also a member of the Committee on Computational and Applied Mathematics . Previously I was at Stanford University as a Motwani Postdoctoral Fellow in the Department of Computer Science. Right before, I was a research fellow in UC Berkeley's Simons Institute in the Program on Computational Complexity of Statistical Inference. I received my PhD in Mathematics and Statistics from MIT, where I was coadvised by Ankur Moitra and Elchanan Mossel , and before that I recei
saved by
related reading
- Alex Weinalex-wein.com
- Nike Sunmath.mit.edu
- Bryon Aragam // University of Chicagobryonaragam.com
- Tim Kunisky - Homekunisky.com
- Paperscseweb.ucsd.edu
- Statistics 386 Winter 2013galton.uchicago.edu
- course_stat_rl.pdfmit.edu
- CSE290A - Randomized Algorithmsusers.soe.ucsc.edu
- my projectsdan-iel-lee.vercel.app
- [2604.24737] Learning to Think from Multiple Thinkersarxiv.org
- Nicholas Cook - Duke Mathsites.math.duke.edu
- An optimization perspective on log-concave sampling and beyond | Sinho Chewichewisinho.github.io