Online References, Resources, etc.
On this page, I am collecting links to various technical reference materials which I have found online. Mostly this will include talks and reference materials; I do not plan to keep a record of every paper which I have mentioned online.
I do not maintain these links carefully; if any link has gone dead, then I apologise and encourage you to email me notifying me of this. I also do not claim expertise on all of the topics contained below; in many cases they have simply been recommended to me by somebody else.
Video Lectures
Courses
Luke Postle - Probabilistic Methods - Videos for 12-week video graduate course on Probabilistic Methods.
Yurii Nesterov - Modern Algorithmic Optimisation - Videos for a 10 x 1.5 hr course on Optimisation
Caroline Uhler - Graphical Models: A Combinatorial and Geometric Perspective - Lecture 1, 2, 3
Nick Trefethen - Approximation Theory and Approximation Practice
Books, Lecture Notes
(n.b. many of these links point directly to the .pdf)
Books
Robert Adler - Topological Complexity of Smooth Random Functions
Christopher Bishop - Pattern Recognition and Machine Learning
Yann Brenier - Examples of Hidden Convexity in Nonlinear PDEs
Luc Devroye, Laszlo Gyorfi - Nonparametric Density Estimation
Christophe Giraud - Introduction to High-Dimensional Statistics
Iain Johnstone - Gaussian Estimation: Sequence and Wavelet Models
Shahar Mendelson - Geometric Aspects of Statistical Learning Theory
Richard Nickl - Bayesian Non-Linear Statistical Inverse Problems
James Rawlings, David Mayne, Moritz Diehl - Model Predictive Control
Sushant Sachdeva, Nisheeth K. Vishnoi - Faster Algorithms via Approximation Theory
Michael Unser, Pouya Tafti - An introduction to sparse stochastic processes
Lecture Notes, Course Pages
Erwin Bolthausen - The Thouless-Anderson-Palmner Equation in Spin Glass Theory
Djalil Chafaï, Joseph Lehec - Logarithmic Sobolev Inequalities Essentials
Ioana Cosma, Ludger Evers - Markov Chains and Monte Carlo Methods
Mihalis Dafermos, Igor Rodnianski - Black Holes and Linear Waves
Marcelo Disconzi - Recent Advances in Classical and Relativistic Fluids
Florent Krzakala - Statistical Physics for Optimisation and Learning
Daniel Lacker - Mean-Field Games and Interacting Particle Systems
Yin Tat Lee - Interplay between Convex Optimization and Geometry
Kaare Brandt Petersen, Michael Syskind Peterson - The Matrix Cookbook
Gonçalo dos Reis, David Šiška - Stochastic Control and Dynamic Asset Allocation
Tim Roughgarden - Communication Complexity (for Algorithm Designers)
Thomas B. Schön, Fredrik Lindsten - Learning of Dynamical Systems
Yihong Wu - Information-Theoretic Methods for High-Dimensional Statistics
Slides
Oscar Mauricio Agudelo Mañozca, Bart de Moor - Introduction to Model Predictive Control
Anthony Atkinson, Marco Riani - Introduction to Robust Statistics
Ulysse Marteau-Ferey - Finding Global Minima via Kernel Approximations
Michael Mascagni - Monte Carlo Methods for Partial Differential Equations
Yurii Nesterov - Relative Smoothness - A New Paradigm in Convex Optimisation
Art Owen - Monte Carlo and Quasi-Monte Carlo for Image Synthesis
Cosma Shalizi - So, You Think You Have a Power Law, Do You? Well Isn't That Special?
Adrien Taylor - Computer-Aided Analyses of First-Order Methods via Semidefinite Programming
Nick Trefethen - Six Myths of Polynomial Interpolation and Quadrature
Nick Trefethen - Who Invented The Great Numerical Algorithms?
Static Websites
Collections of Materials
Blog Posts by Others
Francis Bach - The Many Faces of Integration by Parts - Randomised Smoothing and Score Functions
Terence Tao - Li-Yau-Hamilton Harnack Inequalities and Kappa-Solutions
Terence Tao - Comparison Geometry, The High-Dimensional Limit, and Perelman Reduced Volume
MathOverflow (and similar) Posts
Miscellaneous
If you post a link to a pdf, and modify the end of the link to [...].pdf#page=n, then when you open the link, you will go directly to page n.
For extracting BibTeX information in a pinch, try doi2bib, arXiv To BibTeX.