Program for stream Continuous Optimization

TB-03: Advances in robust optimization techniques
Stream: Continuous Optimization
Room: Room 3
Chair(s): Jianzhe Zhen, Viet Anh Nguyen, Jannis Kurtz

• Natural disaster management: a two-stage distributionally robust approach
  Mohamed El Tonbari, Alejandro Toriello, George Nemhauser, Natashia Boland
• Learning guarantees under distributional shifts: Wasserstein perturbation and conditional value-at-risk
  Jaeho Lee
• Data-Driven Robust Optimization using Unsupervised Deep Learning
  Jannis Kurtz, Marc Goerigk

TC-02: Algorithms and theory for convex and nonconvex optimization
Stream: Continuous Optimization
Room: Room 2
Chair(s): Bruno Lourenco

• Local convergence of primal-dual interior point methods for nonlinear semi-definite optimization using the family of Monteiro-Tsuchiya directions
  Takayuki Okuno
• A new uncertainty model for positive-valued parameters with applications
  Ellen Hidemi Fukuda, Tatsuya Tanaka, Nobuo Yamashita
• Error bounds, facial residual functions and applications to the exponential cone
  Scott Lindstrom, Bruno Lourenco, Ting Kei Pong
• Consistent error bounds and convergence rates
  Bruno Lourenco

TD-03: Recent Progress in Semidefinite and Second Order Cone Programming
Stream: Continuous Optimization
Room: Room 3
Chair(s): Makoto Yamashita, Sunyoung Kim

• Exact semidefinite relaxations for QCQPs with forest-structured matrices and its applications
  Godai Azuma, Mituhiro Fukuda, Sunyoung Kim, Makoto Yamashita
• An efficient approach with aggregate sparsity based on second order cone programming relaxations for quadratic constrained quadratic programming problems
  Makoto Yamashita, Heejune Sheen

TE-11: Control Theory and System Dynamics
Stream: Continuous Optimization
Room: Room 11
Chair(s): Jim Duggan

• Food loss problem and retailer’s commitment strategies in the presence of strategic customers
  Yasushi Masuda, Taishi Kawahara, Hideaki Takagi
• Dynamic programming and linear programming for odds problem
  Sachika Kurokawa, Tomomi Matsui
• A fast Bernstein global optimization procedure for nonlinear MPC
  Bhagyesh Patil
• Exploring the Impact of School Reopenings using a System Dynamics Model of the Next Generation Matrix
  Jim Duggan

WC-02: Convex Optimization and Applications
Stream: Continuous Optimization
Room: Room 2
Chair(s): Cesar Uribe, Rasoul Etesami, Shin-ya Matsushita

• Accelerated gradient method for convex-concave saddle-point problems
  Donghwan Kim
• Blended dynamics approach to distributed algorithms for the consensus optimization problem
  Seungjoon Lee, Hyungbo Shim
• Proximal Splitting Algorithms for Optimization Problems
  Shin-ya Matsushita

HA-02: Interior-Point Methods for Linear Programming
Stream: Continuous Optimization
Room: Room 2
Chair(s): Aurelio Oliveira, Jordi Castro

• Stable system for Quadratic Programming.
  Maria Gonzalez-Lima, Aurelio Oliveira, Danilo Oliveira
• A new hybrid preconditioner for interior point methods
  Aurelio Oliveira, Cecilia O. Castro, Manolo Heredia
• Implementation of interior-point methods for LP based on Krylov subspace iterative solvers with inner-iteration preconditioning
  Ken Hayami, Yiran Cui, Takashi Tsuchiya, Keiichi Morikuni
• A New Weight Reduction Algorithm for Linear Programming
  Jair Da Silva, Carla Ghidini, Aurelio Oliveira

HB-02: New models and algorithms for decision under uncertainty
Stream: Continuous Optimization
Room: Room 2
Chair(s): Man-Chung Yue

• Optimistic likelihood problems using geodesically convex optimization
  Man-Chung Yue, Viet Anh Nguyen, Soroosh Shafieezadeh Abadeh, Daniel Kuhn, Wolfram Wiesemann
• The Dao of Robustness
  Melvyn Sim, Daniel Zhuoyu Long, Minglong Zhou
• Probabilistic Sequential Shrinking: A Best Arm Identification Algorithm for Stochastic Bandits with Corruptions
  Wang-Chi Cheung
• Distributionally robust risk minimization in machine learning: models and algorithms
  Anthony So, Jiajin Li, Sen Huang

FA-02: Advances in Interior points methods
Stream: Continuous Optimization
Room: Room 2
Chair(s): Julio C. Góez, Daniel Stilck Franca

• Parametric Analysis of Semidefinite and Second Order Conic Optimization
  Tamás Terlaky, Ali Mohammad-Nezhad
• A Limiting Analysis on Regularization of Singular Semidefinite Programs and its Implication to Infeasible Interior-point Algorithms
  Takashi Tsuchiya, Bruno Lourenco, Masakazu Muramatsu, Takayuki Okuno
• A class of primal-dual interior-point relaxation methods for nonlinear and linear optimization
  Yu-Hong Dai, Xinwei Liu
• Faster quantum and classical SDP approximations for quadratic binary optimization
  Daniel Stilck Franca, Fernando Brandão, Richard Küng

FB-02: Continuous Optimization: Methods and softwares
Stream: Continuous Optimization
Room: Room 2
Chair(s): Luis Felipe Bueno

• On sequential optimality conditions for constrained conic programming
  Leonardo Makoto Mito, Roberto Andreani, Walter Gómez, Gabriel Haeser, Alberto Ramos
• An Inexact Feasible Quantum Interior Point Method for Linear Optimization
  Mohammadhossein Mohammadisiahroudi, Ramin Fakhimi, Tamás Terlaky
• Towards an efficient Augmented Lagrangian method for convex quadratic programming
  Luis Felipe Bueno, Gabriel Haeser, Luiz Rafael Santos