Thu.2 10:45–12:00

10:45
11:10
11:35
H 3004 | APP Applications in Economics
Benteng Zou
Asiye Aydilek
Po-An Chen
10:45 Benteng Zou

The Dynamics Competition of Key Elements of Sustainable Technology -- the Rare Earth Elements

11:10 Asiye Aydilek

Do we really need heterogenous agent models under recursive utility?

11:35 Po-An Chen

An Alternating Algorithm for Finding Linear Arrow-Debreu Market Equilibrium

H 3012 | APP Applications in Engineering
Dimitrios Nerantzis
Manuel Radons
10:45 Dimitrios Nerantzis

Pressure and energy optimization of water distribution systems without storage capacity.

11:10 Manuel Radons

Semi-automatically optimized calibration of internal combustion engines

11:35

H 0105 | BIG Nonconvex Optimization in Machine Learning (1/2)
Yuxin Chen
Zhuoran Yang
Alfonso Lobos
10:45 Yuxin Chen

Noisy Matrix Completion: Bridging Convex and Nonconvex Optimization

11:10 Zhuoran Yang

Variational Transport: A Convergent Particle-Based Algorithm for Distributional Optimization

11:35 Alfonso Lobos

Stochastic In-Face Frank-Wolfe Methods for Non-Convex Optimization and Sparse Neural Network Training

H 0110 | BIG Recent Advances in Optimization Techniques for Large-Scale Structured Problems
Zirui Zhou
Michael R. Metel
Pierre-Louis Poirion
10:45 Zirui Zhou

Nonmonotone Enhanced Proximal DC Algorithms for a Class of Structured Nonsmooth DC Programming

11:10 Michael R. Metel

Stochastic proximal gradient methods for non-smooth non-convex optimization

11:35 Pierre-Louis Poirion

Random projections for conic LP

H 3007 | BIG Big Data and Machine Learning – Contributed Session 2/3
Lei Zhao
Sarit Khirirat
Rachael Tappenden
10:45 Lei Zhao

Linear Convergence of Variable Bregman Stochastic Coordinate Descent Method for Nonsmooth Nonconvex Optimization by Level-set Variational Analysis

11:10 Sarit Khirirat

Compressed Gradient Methods with Memory-Based Error Compensation

11:35 Rachael Tappenden

Underestimate Sequences and Quadratic Averaging

H 3013 | VIS Numerical Methods for Bilevel Optimization and Applications (1/2)
Anthony Dunn
Andrey Tin
Alain Zemkoho
10:45 Anthony Dunn

Foam prediction to improve biogas production using anaerobic digestion

11:10 Andrey Tin

Gauss-Newton-type method for bilevel optimization

11:35 Alain Zemkoho

An inertial extrapolation method for convex simple bilevel optimization

H 2032 | CON Advances in Algorithms for Conic Optimization
Joachim Dahl
Alex Wang
Julio C Goez [cancelled]
10:45 Joachim Dahl

A primal-dual algorithm for expontial-cone optimization

11:10 Alex Wang

A Linear-Time Algorithm for Generalized Trust Region Subproblem based on a Convex Quadratic Reformulation

11:35 Julio C Goez [cancelled]

Disjunctive conic cuts: the good, the bad, and implementation

H 2033 | CON Polynomial Optimization Algorithms, Software, and Applications
Brais González Rodríguez
Yi-Shuai Niu
Anders Eltved
10:45 Brais González Rodríguez

RAPOSa, a freely available solver for polynomial optimization problems

11:10 Yi-Shuai Niu

Higher-order moment portfolio optimization via DC programming and sums-of-squares

11:35 Anders Eltved

Exact Relaxation of Homogeneous Quadratically Constrained Quadratic Programs with Tree Structure

H 2038 | CON Algorithms for Conic Programming
Chee Khian Sim
Kresimir Mihic
Konrad Schrempf
10:45 Chee Khian Sim

Polynomial complexity and local convergence of an interior point algorithm on semi-definite linear complementarity problems

11:10 Kresimir Mihic

Randomized multi-block ADMM based iterative methods for solving large scale coupled convex problems

11:35 Konrad Schrempf

Primal ``non-commutative'' interior-point methods for semidefinite programming

H 1028 | CNV Splitting Methods and Applications (2/3)
C.H. Jeffrey Pang
Pontus Giselsson
Adrien Taylor
10:45 C.H. Jeffrey Pang

Deterministic distributed asynchronous optimization with Dykstra's splitting

11:10 Pontus Giselsson

Separate and Project: Nonlinear Forward-Backward Splitting with Projection Correction

11:35 Adrien Taylor

Computer-aided proofs for operator splitting

H 1029 | CNV Convex and Nonsmooth Optimization – Contributed Session 2/3
Nima Rabiei
Maryam Yashtini
Jose Vidal-Nunez
10:45 Nima Rabiei

AAR-Based Decomposition Method For Limit Analysis

11:10 Maryam Yashtini

High Quality Reconstruction with Euler's elastica-based methods

11:35 Jose Vidal-Nunez

Fenchel duality for convex optimization on Riemannian manifolds

H 3025 | DER Recent Advances in Derivative-Free Optimization (3/3)
Tyler Chang
Alexander Matei
Douglas Vieira
10:45 Tyler Chang

A Surrogate for Local Optimization using Delaunay Triangulations

11:10 Alexander Matei

Detecting model uncertainty via parameter estimation and optimal design of experiments

11:35 Douglas Vieira

Convergence properties of line search strategies for multi-modal functions

H 0104 | NON Recent Advances of First-Order Methods for Nonlinear Problems (2/2)
Hao Yu
Runchao Ma
Yuyuan Ouyang
10:45 Hao Yu

A primal-dual parallel method with \ensuremath{MCAL{O}(1/\epsilon)} convergence for constrained composite convex programs

11:10 Runchao Ma

Iteration Complexity for Constrained Optimization Problem under Local Error Bound and Weak Convexity

11:35 Yuyuan Ouyang

Lower complexity bounds of first-order methods for some machine learning models

H 0106 | NON Optimality Conditions in Nonlinear Optimization (2/2)
Olga Brezhneva
Maria Daniela Sanchez
S. K. Gupta
10:45 Olga Brezhneva

Necessary and sufficient optimality conditions for p-regular inequality constrained optimization problems

11:10 Maria Daniela Sanchez

Optimization Problems with Additional Abstract Set Constraints

11:35 S. K. Gupta

Optimality conditions for a class of multiobjective interval valued fractional programming problem

H 2053 | NON Methods of Optimization in Riemannian Manifolds (2/2)
Josua Sassen
Orizon Pereira Ferreira
10:45 Josua Sassen

Geometric optimization using nonlinear rotation-invariant coordinates

11:10 Orizon Pereira Ferreira

Iteration-complexity and asymptotic analysis of steepest descent method for multiobjective optimization on Riemannian manifolds

11:35

H 0112 | PDE Geometric Methods in Optimization of Variational Problems (2/3)
Andreas Weinmann
Thomas Vogt
Gladyston de Carvalho Bento
10:45 Andreas Weinmann

Reconstructing manifold-valued images using total variation regularization and related methods

11:10 Thomas Vogt

Measure-valued Variational Models for Non-Convex Imaging Problems

11:35 Gladyston de Carvalho Bento

Generalized optimality conditions for weak Pareto-optimal solutions on Riemannian manifolds

H 2013 | PDE PDE-constrained Optimization Under Uncertainty (2/3)
Thomas Michael Surowiec
Ekaterina Kostina
Andreas Van Barel
10:45 Thomas Michael Surowiec

A primal-dual algorithm for PDE-constrained optimization under uncertainty

11:10 Ekaterina Kostina

Robustness aspects in model validation for dynamic processes

11:35 Andreas Van Barel

Multilevel Quasi-Monte Carlo for stochastic PDE constrained optimization

H 3006 | ROB A Mixed Bag of Decision Problems
Man-Chung Yue
Bart P.G. Van Parys
Zhi Chen
10:45 Man-Chung Yue

Optimistic Likelihood Problems Using (Geodesically) Convex Optimization

11:10 Bart P.G. Van Parys

Data Analytics with B(R)agging Prediction Models.

11:35 Zhi Chen

Allocation Inequality in Cost Sharing Problem

H 1012 | SPA Continuous Systems in Information Processing (2/2)
Jan Lellmann
Noémie Debroux
Daniel Tenbrinck
10:45 Jan Lellmann

Measure-Valued Variational Image Processing

11:10 Noémie Debroux

A unified variational joint reconstruction and registration model for motion-compensated MRI

11:35 Daniel Tenbrinck

Variational Graph Methods for Efficient Point Cloud Sparsification