Albert Cohen: The joy and pain of wavelets in numerical simulation
Albert Cohen - Least-Squares Methods for High Dimensional Problems (3/4)
Albert Cohen - Least-Squares Methods for High Dimensional Problems (1/4)
Summer school 2018 / Guy Cohen / Part 1. Numerical methods for many-body problems
What is Monte Carlo Simulation?
Vincent Viallat Cohen Addad -Recent Progress on the Inapproximability of High Dimensional Clustering
Approximation and Data Assimilation
Faster Algorithms and New Iterative Methods for Computing the Stationary Distribution
Rob Stevenson: Adaptive numerical solution methods for PDEs
Albert Cohen - Reduced Modeling for Manifold Sensing
[HSCC21] M. Cohen - Model-Based Reinforcement Learning for Approximate Optimal Control with ...
Albert Cohen - Least-Squares Methods for High Dimensional Problems (2/4)
Albert Cohen part 2
Modern Statistics by Mike X Cohen, chapter 06
Michael Cohen and High-dimensional Probability
Calculus Unraveled: Intuition, Proofs, Python :|: Chapter 9 exercise solutions and discussions
Albert Cohen part 1
Albert Cohen: Theory of approximation of hight-dimensional functions - lecture 2
Constraints and Barrier Method
Madeleine Udell: "Low Rank Tucker Approximation of a Tensor from Streaming Data"