Multiple Greedy Quasi-Newton Methods for Saddle Point Problems

1 August 2024

Papers citing "Multiple Greedy Quasi-Newton Methods for Saddle Point Problems"

7 / 7 papers shown

Title
Adaptive Self-Supervised Learning Strategies for Dynamic On-Device LLM Personalization Rafael Mendoza Isabella Cruz Richard Liu Aarav Deshmukh David Williams Jesscia Peng Rohan Iyer 18 0 0 25 Sep 2024
Electroencephalogram Emotion Recognition via AUC Maximization Minheng Xiao Shi Bo 25 2 0 16 Aug 2024
SPA: Towards A Computational Friendly Cloud-Base and On-Devices Collaboration Seq2seq Personalized Generation Yanming Liu Xinyue Peng Jiannan Cao Le Dai Xingzu Liu Mingbang Wang Weihao Liu SyDa 36 2 0 11 Mar 2024
Efficient Algorithms for Empirical Group Distributional Robust Optimization and Beyond Dingzhi Yu Yu-yan Cai Wei Jiang Lijun Zhang 33 5 0 06 Mar 2024
Distributed Adaptive Greedy Quasi-Newton Methods with Explicit Non-asymptotic Convergence Bounds Yubo Du Keyou You 31 4 0 30 Nov 2023
Generalized Optimistic Methods for Convex-Concave Saddle Point Problems Ruichen Jiang Aryan Mokhtari 20 32 0 19 Feb 2022
Stochastic Variance Reduction for Variational Inequality Methods Ahmet Alacaoglu Yura Malitsky 51 61 0 16 Feb 2021