Kim Chuan Toh

Co-author

• Adam-family Methods with Decoupled Weight Decay in Deep Learning

  MB71 — Inertial and stochastic algorithms
  22 Jul 2024 14:00 — Parallel Session

• On solving a rank regularized minimization problem via equivalent factorized column-sparse regularized models

  TA65 — Nonlinear optimization problems
  23 Jul 2024 08:30 — Parallel Session

• A Corrected Inexact Proximal Augmented Lagrangian Method with a Relative Error Criterion for a Class of Group-quadratic Regularized Optimal Transport Problems

  TA65 — Nonlinear optimization problems
  23 Jul 2024 08:30 — Parallel Session

• A feasible method for solving general convex low-rank SDP problems

  TB207 — Large scale continuous optimization and first-order methods and related topics
  23 Jul 2024 14:00 — Parallel Session

• Accelerating nuclear-norm regularized low-rank matrix optimization through Burer-Monteiro decomposition

  WA208 — Low-rank semidefinite optimization, algorithms, software and applications
  24 Jul 2024 08:30 — Parallel Session

• Adam-family Methods for Nonsmooth Optimization with Convergence Guarantees

  ThA135 — From First- to High-order Methodologies: Recent Advances and Trends III
  25 Jul 2024 08:30 — Parallel Session

• Nonconvex Stochastic Bregman Proximal Gradient Method with Application to Deep Learning

  FA83 — Gradient-based methods: theory and advances
  26 Jul 2024 08:30 — Parallel Session