all AI news
Analysis of Kernel Mirror Prox for Measure Optimization
March 4, 2024, 5:42 a.m. | Pavel Dvurechensky, Jia-Jie Zhu
cs.LG updates on arXiv.org arxiv.org
Abstract: By choosing a suitable function space as the dual to the non-negative measure cone, we study in a unified framework a class of functional saddle-point optimization problems, which we term the Mixed Functional Nash Equilibrium (MFNE), that underlies several existing machine learning algorithms, such as implicit generative models, distributionally robust optimization (DRO), and Wasserstein barycenters. We model the saddle-point optimization dynamics as an interacting Fisher-Rao-RKHS gradient flow when the function space is chosen as a …
abstract algorithms analysis arxiv class cs.lg equilibrium framework function functional generative kernel machine machine learning machine learning algorithms math.oc mixed nash equilibrium negative optimization space study type
More from arxiv.org / cs.LG updates on arXiv.org
Trainwreck: A damaging adversarial attack on image classifiers
1 day, 13 hours ago |
arxiv.org
Fast Controllable Diffusion Models for Undersampled MRI Reconstruction
1 day, 13 hours ago |
arxiv.org
Jobs in AI, ML, Big Data
Senior Machine Learning Engineer
@ GPTZero | Toronto, Canada
Software Engineer III -Full Stack Developer - ModelOps, MLOps
@ JPMorgan Chase & Co. | NY, United States
Senior Lead Software Engineer - Full Stack Senior Developer - ModelOps, MLOps
@ JPMorgan Chase & Co. | NY, United States
Software Engineer III - Full Stack Developer - ModelOps, MLOps
@ JPMorgan Chase & Co. | NY, United States
Research Scientist (m/w/d) - Numerische Simulation Laser-Materie-Wechselwirkung
@ Fraunhofer-Gesellschaft | Freiburg, DE, 79104
Research Scientist, Speech Real-Time Dialog
@ Google | Mountain View, CA, USA