Mirror Descent Maximizes Generalized Margin and Can Be Implemented Efficiently

25 May 2022

Papers citing "Mirror Descent Maximizes Generalized Margin and Can Be Implemented Efficiently"

5 / 5 papers shown

Title
Implicit Geometry of Next-token Prediction: From Language Sparsity Patterns to Model Representations Yize Zhao Tina Behnia V. Vakilian Christos Thrampoulidis 70 9 0 20 Feb 2025
Nonconvex Stochastic Bregman Proximal Gradient Method with Application to Deep Learning Kuan-Fu Ding Jingyang Li Kim-Chuan Toh 33 8 0 26 Jun 2023
Automatic Gradient Descent: Deep Learning without Hyperparameters Jeremy Bernstein Chris Mingard Kevin Huang Navid Azizan Yisong Yue ODL 16 17 0 11 Apr 2023
Zero-Shot Text-to-Image Generation Aditya A. Ramesh Mikhail Pavlov Gabriel Goh Scott Gray Chelsea Voss Alec Radford Mark Chen Ilya Sutskever VLM 255 4,805 0 24 Feb 2021
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 310 39,238 0 01 Sep 2014