Thibaut Vidal

Speaker

• OR with a White Hat : Evidencing Privacy Vulnerabilities in ML Models

  TA297 — Optimization for Safe and Private Machine Learning
  23 Jul 2024 08:30 — Parallel Session

Chair

• TA297 — Optimization for Safe and Private Machine Learning

  23 Jul 2024 08:30 — Parallel Session

Co-author

• Optimal counterfactual explanations for k-Nearest Neighbors using Mathematical Optimization and Constraint Programming

  WA243 — Constraints and Machine Learning
  24 Jul 2024 08:30 — Parallel Session

• The SAA Method for Two-Stage Stochastic Programs with Endogenous Uncertainty

  ThA937 — Discrete Stochastic Programming 1
  25 Jul 2024 08:30 — Parallel Session

• Adaptive Partitioning for Chance-Constrained Problems with Finite Support

  ThB935 — Continuous Stochastic Programming 2
  25 Jul 2024 14:00 — Parallel Session

• Functionally-Identical Pruning of Tree Ensembles

  ThC928 — Machine Learning and Discrete Optimization 2
  25 Jul 2024 16:20 — Parallel Session

• 3D Phase Unwrapping using 3D Surface minimization.

  FB926 — Combinatorial Optimization and Graph Theory 6
  26 Jul 2024 14:00 — Parallel Session