Litcius/Paper detail

A Tight and Unified Analysis of Gradient-Based Methods for a Whole Spectrum of Differentiable Games.

Waïss Azizian, Ioannis Mitliagkas, Simon Lacoste-Julien, Gauthier Gidel

2020International Conference on Artificial Intelligence and Statistics26 citations

Topics & Concepts

Differentiable functionComputer scienceSpectrum (functional analysis)Mathematical optimizationMathematicsPhysicsMathematical analysisQuantum mechanicsMatrix Theory and AlgorithmsAdvanced Optimization Algorithms ResearchMarkov Chains and Monte Carlo Methods
A Tight and Unified Analysis of Gradient-Based Methods for a Whole Spectrum of Differentiable Games. | Litcius