Lionel Pournin - Distance, Strong Convexity, Flagness, and Associahedra
On Structured Prediction Theory with Calibrated Convex Surrogate Losses, Anton OsokinSee more
Part 5 strong convexitySee more
Preliminaries: Strong ConvexitySee more
Piecewise Strong Convexity of Neural Networks - a Short SummarySee more
Regina Burachik: Enlargements: a bridge between maximal monotonicity and convexitySee more
Lionel Pournin: Algorithmic combinatorial and geometric aspects of linear optimizationSee more
10. The associahedronSee more
Afonso Bandeera: Tightness of Convex Relaxations for Certain Inverse Problems on GraphsSee more
[W2-2] strongly convex function and smooth convex functionSee more
![[W2-2] strongly convex function and smooth convex function](https://img.youtube.com/vi/n4eBAq0XIMY/0.jpg)
Bo'az Klartag - Convexity in High Dimensions ISee more
Stochastic Approximation of Smooth and Strongly Convex FunctionsSee more
Lionel Roques: Uniqueness of coefficients by strong maximum principleSee more
3.3 Properties of Smooth and Strongly Convex FunctionsSee more
AppDynSys : Intermediate Axis Theorem : Tennis RacketSee more
Raphaël Rouquier - Geometric representation theory as representation-theoretic geometrySee more
Non-Archimedean Harmonic Analysis - Bodan ArsovskiSee more
