lodewijkbrand / paper-notes

Collection of papers to read/reading

paper-notes

Febuary 2021

• Robust SVM with adaptive graph learning
  • paper
• Decision Tree SVM: An extension of linear SVM for non-linear classification
  • paper
• Novel Support Vector Machines for Diverse Learning Paradigms
  • thesis
• New primal SVM solver with linear computational cost for big data classifications
  • paper

October 2020

• Privacy-Preserving Generative Deep Neural Networks Support Clinical Data Sharing
  • Authors: Brett K. Beaulieu-Jones, Zhiwei Steven Wu, Chris Williams, Ran Lee, Sanjeev P. Bhavnani, James Brian Byrd, Casey S. Greene
  • paper
• Nonconvex Generalization of ADMM for Nonlinear Equality Constrained Problems
  • Authors: Junxiang Wang, Liang Zhao
  • paper
• Brain Imaging Genomics: Integrated Analysis and Machine Learning
  • Authors: Li Shen, Paul M. Thompson
  • paper
• Fast and Provable ADMM for Learning with Generative Priors
  • Authors: Fabian Latorre Gómez, Armin Eftekhari, Volkan Cevher
  • paper
• Understanding Machine Learning: From Theory to Algorithms
  • Authors: Shai Shalev-Shwartz and Shai Ben-David
  • book

September 2020

• An ADMM-Based Interior-Point Method for Large-Scale Linear Programming
  • Authors: Tianyi Lin, Shiqian Ma, Yinyu Ye, Shuzhong Zhang
  • paper
• Douglas-Rachford splitting and ADMM for nonconvex optimization: Accelerated and Newton-type algorithms
  • Authors: Andreas Themelis, Lorenzo Stella, Panagiotits Patrinos
  • paper
• A Field Guide to Forward-Backward Splitting With a FASTA Implementation
  • Authors: Tom Goldstein, Christoph Studer, Richard Baraniuk
  • paper
• Deep Neural Network Structures Solving Variational Inequalities
  • Authors: Patrick L. Combettes, Jean-Christophe Pesquet
  • paper
• Non-convex Min-Max Optimization: Applications, Challenges, and Recent Theoretical Advances
  • Authors: Meisam Razaviyayn, Tianjian Huang, Songtao Lu, Maher Nouiehed, Maziar Sanjabi, Mingyi Hong
  • paper
• ISE 633: Large Scale Optimization for Machine Learning
  • Author: Meisam Razaviyayn
  • course
• Interior Point Algorithms, Theory and Analysis
  • Author: Yinyu Ye
  • book
• Convergence Study on the Symmetric Version of ADMM with Larger Step Sizes
  • Authors: Bingsheng He, Feng Ma, and Xiaoming Yuan
  • paper