XVII th Conference on Stochastic Programming

Programme Scientifique

Stochastic integer programming

SIP

(Distributionally) robust optimization

(D)RO

Contextual stochastic programming

CSP

Chance-constrained programming

CCP

Machine learning

ML

Applications in energy, finance or logistics

App

Sequential decision making under uncertainty

Seq

Stochastic Programming

SP

Mini-symposium

• Structured learning and stochastic combinatorial optimization: methodological perspectives and applications

  MS1

• Decomposition methods for solving Stochastic Programming problems in Logistics and Transportation

  MS2

• Contextual Stochastic Programming

  MS3

• Stochastic Optimization under Decision-Dependent Uncertainty

  MS5

• Computationally Efficient Approaches for Distributionally Robust Optimization

  MS6

• Communication-Efficient methods for distributed optimization and federated learning

  MS7

• Modeling flexibility: new developments

  MS8

• Robust Optimization and Machine Learning

  MS9

• Stochastic Mixed-Integer Programming

  MS11

• Taming the Curse of Dimension in Multistage Stochastic Programming

  MS12

• Multihorizon Stochastic Programming: Models, Algorithms, and Applications

  MS13

• Models and Methods for Stochastic Non-Convex Optimization and Equilibrium Problems

  MS

• Advances in two-stages robust optimization

  MS

• Robust Decision Making in Dynamic Environments

  MS