Program for stream Nonlinear optimization with uncertainties

WA-17: Nonlinear optimization with uncertainties 1
Stream: Nonlinear optimization with uncertainties
Room: 309A
Chair(s): Natasa Krejic

• Some complexity results with high-order regularization
  José Mario Martínez
• Relaxed Peaceman-Rachford splitting method on the sum of two maximal strongly monotone operators: Convergence study
  Chee Khian Sim, Renato D.C. Monteiro
• Distributed spectral-like gradient method
  Natasa Krejic, Dragana Bajovic, Dusan Jakovetic, Nataša Krklec Jerinkić
• Fast and robust self-localization of networked agents
  Claudia Soares, Joao Gomes

HA-17: Optimization methods in machine learning
Stream: Nonlinear optimization with uncertainties
Room: 309A
Chair(s): Stefania Bellavia

• On the employment of inexact restoration for the minimization of functions whose evaluation is subject to errors
  Ernesto G. Birgin, Natasa Krejic, José Mario Martínez
• Coordinate descent converges faster with the Gauss-Southwell rule than random selection
  Mark Schmidt
• Spectral projected gradient method for stochastic optimization
  Nataša Krklec Jerinkić, Natasa Krejic

HB-17: Nonlinear optimization with uncertainties 2
Stream: Nonlinear optimization with uncertainties
Room: 309A
Chair(s): Angelia Nedich, Wei Shi

• Distributed non-convex optimization
  Behrouz Touri, Tatiana Tatarenko
• DeFW: Projection-free multi-agent optimization
  Hoi To Wai, Jean Lafond, Anna Scaglione, Eric Moulines
• Balancing computation and communication in distributed optimization
  
• A class of decentralized resource allocation algorithms and its connection to consensus optimization
  Wei Shi, Angelia Nedich, Alex Olshevsky

HD-17: Distributed stochastic optimization and information processing
Stream: Nonlinear optimization with uncertainties
Room: 309A
Chair(s): Dusan Jakovetic, Dragana Bajovic

• Mitigating the complexity of fictitious play in large games: A stochastic approximation approach
  Brian Swenson, Soummya Kar, Xavier João
• Accelerated consensus over stochastic networks through distributed filter design
  Stephen Kruzick, Jose Moura
• Distributed composite hypothesis testing: A consensus+innovations approach
  Anit Kumar Sahu, Soummya Kar
• Distributed Newton-like methods with variable number of working nodes
  Dusan Jakovetic, Natasa Krejic, Nataša Krklec Jerinkić, Dragana Bajovic

HE-17: Nonlinear optimization in the presence of uncertanties and parameters
Stream: Nonlinear optimization with uncertainties
Room: 309A
Chair(s): Wil Schilders

• Nonlinear optimization with parameters and parasitic effects
  Wil Schilders
• Robust optimization in nanoelectronics: A survey on results obtained in the NanoCOPS project.
  Piotr Putek, Michael Günther, Evert Jan Willem ter Maten
• Exploitation of random noise in simulated annealing
  Fabian Bastin, Clément Bouttier, Clément Bouttier

FA-17: Applications in call centers and aircraft arrivals scheduling
Stream: Nonlinear optimization with uncertainties
Room: 309A
Chair(s): Fabian Bastin

• Using K-means to improve two-stage chance-constrained staffing for multi-skill call center with arrival rate uncertainties
  Wyean Chan, Thuy Anh Ta, Pierre L'Ecuyer, Fabian Bastin
• Scheduling aircraft landings in the presence of uncertainty
  Ahmed Khassiba, Fabian Bastin, Marcel Mongeau, Sonia Cafieri, Bernard Gendron
• On the sample average approximation of the two-stage chance-constrained staffing problem in call centers
  Thuy Anh Ta, Wyean Chan, Pierre L'Ecuyer, Fabian Bastin