A mini symposium consists of

• A semi-plenary talk. This talk will get a bit more time than the technical talks, and is expected to be (indeed) a somewhat general talk.
• Three more talks with titles and names. 
• Some mini symposia include several sessions. 

Applications

• Risk-Averse Stochastic Programming and Energy System Operations.
  Chair: Yongpei Guan.
  Semi-plenary: Ruiwei Jiang.
   
• Stochastic programming for Hydropower scheduling.
  Chair: Ellen Krohn Aasgård and Andre Diniz.
  Semi-plenary: Andre Diniz.
   
• Decomposition Techniques for Large-Scale Stochastic and Robust Energy System Models.
  Chair: Ramteen Sioshansi and Antonio J. Conejo.
  Semi-plenary: Pascal Van Hentenryck.
   
• One and Two-Level Stochastic Equilibrium Models in Energy and Transportation.
  Chair: Steven Gabriel.
  Semi-plenary: Yueyue Fan. 
   
• New frontiers in financial decision making under uncertainty: ambiguity, stochastic dominance and complex nonlinear portfolio management.
  Chair: Miloš Kopa.
  Semi-plenary: Giorgio Consigli.
   
• Freight transportation and logistics under uncertainties 
  Chair: Ruibin Bai and Stein W. Wallace.
  Semi-plenary: Ruibin Bai.

Robust and distributionally robust optimization 

• Applications of Distributionally Robust Optimization.
  Chair: Daniel Kuhn.
  Semi-plenary: Wolfram Wiesemann. 
   
• Data-Driven Distributionally Robust Optimization.
  Chair: Wolfram Wiesemann.
  Semi-plenary: Peyman Mohajerin Esfahani
   
• Decision-Dependent Stochastic Programming and Distributionally Robust Optimization: Overview and Recent Advances. 
  Chair: Vincent Guigues.
  Semi-plenary: Miguel Lejeune.
   
• From theory to practice: solution methods and implementation aspects on applied robust and stochastic models.
  Chair: Alexandre Street and Davi Valladão.
  Semi-plenary: Tito Homem-de-Mello.
   
• Doing Good with Good RO.
  Chair: Phebe Vayanos and Vishal Gupta
  Semi-plenary: Phebe Vayanos.

Methods and computations in stochastic programming

• Stochastic dynamic programming equations: decomposition methods and applications.
  Chair: Miguel Lejeune.
  Semi-plenary: Vincent Guigues.
   
• Decomposition-Coordination Methods in Multistage Stochastic Optimization.
  Chair: Michel De Lara.
  Semi-plenary: Michel De Lara
   
• New Techniques in Multi-Stage Stochastic Programming.
  Chair: Jim Luedtke.
  Semi-plenary: Merve Bodur 
   
• PDE-Constrained Optimization under Uncertainty and Applications.
  Chair:Thomas Surowiec and Drew Kouri.
  Semi-plenary: Thomas Surowiec. 
   
• Discrete Optimization under Uncertainty.
  Chair: Michael Poss. 
  Semi-plenary: Ricardo Fukasawa.
   
• Stochastic Integer Programming: Theories, Algorithms, and Applications
  Chair: Kibaek Kim.
  Semi-plenary: Simge Kucukyavuz.
   
• Nonlinear Programming with probability functions.
  Chair: Wim van Ackooij.
  Semi-plenary: Wim van Ackooij
   
• Statistics and Machine Learning.
  Chair: Robert Bassett, Matthew Norton and Johannes Royset.
  Semi-plenary: Johannes Royset.
   
• Bounds and Approximations  in Optimization under Uncertainty.
  Chair: Francesca Maggioni.
  Semi-plenary: Francesca Maggioni.
   
• Advances in Stochastic Dynamic Programming.
  Chair: Stein-Erik Fleten.
  Semi-plenary: David B. Brown.

Equilibrium and variational inequalities 

• Progressive decoupling of linkages in optimization and variational inequalities: Theory and Applications. Chair: Johannes Royset.
  Semi-plenary: Terry Rockafellar. 
   
• Stochastic Approximation Schemes for Stochastic Optimization, Variational, and Game-Theoretic Problems. Chair: Uday Shanbhag.
  Semi-plenary: Uday Shanbhag.

Invited thematic sessions/tutorials

• A Unified Framework for Optimization under Uncertainty.
  Chair: Warren Powell.
   
• Interfaces between Learning and Stochastic Optimization.
  Chair: Suvrajeet Sen.
  Semi-plenary: Meizam Razayiyan
   
• Decisions Applications of Learning.
  Chair: Suvrajeet Sen.