ISMP2018

Scientific Program

Plenary Speakers:

  • Shabbir Ahmed (Georgia Tech, USA) : Chance constrained stochastic programming
  • Francis Bach (INRIA, France) : The relationship between machine learning and optimization
  • Monique Laurent (CWI, The Netherlands) : Using conic and polynomial optimization for matrix factorizations and quantum analogues of classical graph parameters in quantum information.
  • Andy Philpott (Auckland, New Zealand) : The intersection of stochastic programming and game theory, and their application to electricity systems
  • Marc Teboulle (Tel-Aviv University, Israel) : Proximal Methods for Convex and Nonconvex Optimization

Semi-Plenary Speakers:

  • Michael Hintermuller (Humboldt-Universität zu Berlin, Germany): Infinite dimensional constrained nonlinear optimization
  • Jon Lee (University of Michigan, USA) : On non-convex MINLP
  • Nikolaos Sahinidis (CMU, USA) : The BARON software for MINLP
  • Melvyn Sim (National University of Singapore) : Tractable Distributionally Robust Optimization.
  • Paul Y. Tseng Memorial Lectureship in Continuous Optimization

Key-Note Speakers:

  • Alper Atamturk (Berkeley, USA) : On quadratic/conic quadratic mixed 0-1 optimization utilizing submodularity
  • Michel Balinski (CNRS, France):  Majority judgment
  • Regina Burachik (UniSA, Australia) : On Asymptotic Lagrangian duality for nonsmooth nonconvex optimization
  • Emmanuel Candes (Stanford, USA): What’s happening in nonconvex optimization? A couple of stories
  • Patrick Louis Combettes (North Carolina State University, USA): Monotone Operator Theory in Optimization
  • Santanu Dey (Georgia Tech, USA): Theoretical Analysis of Cutting-Planes in IP Solvers.
  • Maryam Fazel (University of Washington, USA): On nonconvex optimization, online algorithms, and machine learning
  • Matteo Fischetti (Padova, Italy): Modern Branch-and-Cut Implementation
  • Oktay Gunluk (IBM Research, USA): Recent progress in MIP 
  • Tito Homem-de-Mello (Universidad Adolfo Ibanez, Chile) :  Scenario generation for risk-averse stochastic optimization problems via effective scenarios
  • Thomas Rothvoss (University of Washington, USA): Lower bounds on the size of linear programs
  • Luis Nunes Vicente (Coimbra, Portugal): A new Hessian free second-order model-based method

Parallel Sessions:

The program shall include a range of mini-sympothia, invited sessions and contributed talks to be announced.

Special mini-symposium on the societal impact of mathematical optimization:

A series of special sessions on success stories where mathematical optimization has had a significant impact on practices. This mini-symposium is at the interface of several applicatif streams from Cluster 4.

Business meetings:

  • MOS council meeting (Monday, July 2nd - 7:00 pm)
  • Meeting of the editorial boards of the mathematical programming journals (Thursday, July 5rd - 6:45pm)
  • MOS business meeting (Tuesday, July 3rd - 5:30 pm
  • Optimization discussion group (sponsor: INFORMS Optimization Society - Tuesday, July 3rd - 6:45 pm)
 
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