Jelena Diakonikolas - Structure in Min-Max Optimization (and How to Use It!)
Jelena Diakonikolas - Robust Learning of a Neuron: Bridging Computational Gaps Using Optimization
Jelena Diakonikolas - Structure in Min-Max Optimization
Distinguished Seminar in Optimization and Data: Jelena Diakonikolas, University of Wisconsin-Madison
Jelena Diakonikolas: Local Acceleration of Frank-Wolfe Methods
ORIE Colloquium on 4/27/2021 - Jelena Diakonikolas (University of Wisconsin - Madison)
Halpern Iteration and Equilibria Problems
Halpern Iteration for Near-Optimal and Parameter-Free Monotone Inclusion and Strong Solutions
Robust Learning of a Single Neuron via Sharpness
Smooth Nonconvex Min-Max Optimization
A Unifying Theory of First-Order Methods and Applications
Faculty Talks: 2022 Grad Student Welcome Weekend
Ilias Diakonikolas, A survey on Learning in High Dimensions with Asymmetric Label Noise
TCS+ talk: Ilias Diakonikolas
High-Dimensional Robust Statistics with Ilias Diakonikolas - #351
Algorithmic High Dimensional Robust Statistics I
Ilias Diakonikolas on Learning with Massart Noise
Algorithmic High Dimensional Robust Statistics II
Density estimation via piecewise polynomial approximation in sample near-linear time
Career Reflections: Dean Jelena Kovačević
