Andre Milzarek

Speaker

• Descent properties of an Anderson accelerated gradient method with restarting

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

Chair

• ThA135 — From First- to High-order Methodologies: Recent Advances and Trends III

  25 Jul 2024 08:30 — Parallel Session

Co-author

• Convergence of a Normal Map-Based Prox-SGD Method for Stochastic Composite Optimization

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

• Convergence of heavy-ball SGD in the nonconvex case: a novel time window-based analysis

  TB136 — First-order Methods and Large-scale Optimization I
  23 Jul 2024 14:00 — Parallel Session

• A MINRES-based Algorithm Framework for Unconstrained Nonconvex Optimization with Non-positive Curvature Detection

  TB69 — From First- to High-order Methodologies: Recent Advances and Trends II
  23 Jul 2024 14:00 — Parallel Session

• A Semismooth Newton Stochastic Proximal Point Algorithm with Variance Reduction

  WA334 — Random subspace methods for continuous optimization
  24 Jul 2024 08:30 — Parallel Session

• A Generalized Version of Chung’s Lemma and its Applications

  FB154 — First-order Methods and Large-scale Optimization III
  26 Jul 2024 14:00 — Parallel Session