Program for stream Alternating Direction Method of Multipliers and its Applications

WF-01: ADMM, block variants and proximality
Stream: Alternating Direction Method of Multipliers and its Applications
Room: Fermat
Chair(s): Jacek Gondzio

• A block symmetric Gauss-Seidel decomposition theorem for convex quadratic programming and its applications in multi-block ADMM
  Kim-Chuan Toh
• A purely numerical linear algebra view on ADMM
  Stefano Cipolla, Jacek Gondzio
• Primal-dual proximal methods with Bregman distances
  Xin Jiang, Lieven Vandenberghe
• Multi-Block ADMM – Managing Randomness and Data Privacy in Optimization Algorithm Design
  Yinyu Ye

TA-01: Non-smoothness, inexactness and applications
Stream: Alternating Direction Method of Multipliers and its Applications
Room: Fermat
Chair(s): Stefano Cipolla

• Differentiating non-smooth (minimisation or) saddle point problems
  Antonin Chambolle
• Principled analysis of methods with inexact proximal computations
  Mathieu BARRÉ, Adrien Taylor
• A Flexible Optimization Framework for Regularized Linearly Coupled Matrix-Tensor Factorizations based on the Alternating Direction Method of Multipliers
  Jeremy Cohen, Carla Schenker, Evrim Acar Ataman
• An ADMM-Newton-CNN Numerical Approach to a TV Model for Identifying Discontinuous Diffusion Coefficients in Elliptic Equations: Convex Case with Gradient Observations
  Xiaoming Yuan