Akiko Takeda

Speaker

• Applying Random projection techniques to large-scale nonconvex optimization problems

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

Co-author

• Random subspace Newton method for unconstrained non-convex optimization

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

• Random Projections for Semidefinite Programming and Polynomial Optimization

  WB222 — Algorithms and Applications of Semidefinite Programming
  24 Jul 2024 14:00 — Parallel Session

• Equivalent reformulation of multistage robust optimization under time-varying exogenous uncertainty with an application to optimal bidding in energy markets

  ThA277 — Optimization - Machine Learning Interfaces
  25 Jul 2024 08:30 — Parallel Session

• Universal heavy-ball method for nonconvex optimization under Hölder continuous Hessians

  ThB137 — First-order Methods and Large-scale Optimization II
  25 Jul 2024 14:00 — Parallel Session

• Approximate Bregman Proximal Gradient Algorithm for Relatively Smooth Nonconvex Optimization

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

• Theoretical smoothing frameworks for general nonsmooth bilevel problems

  FA103 — Recent advances in bilevel optimization
  26 Jul 2024 08:30 — Parallel Session