Program for stream Mathematical Optimization and Data Science

MD-03: The Role of Mathematical Optimization in Data Science VI
Stream: Mathematical Optimization and Data Science
Room: Bulding A, Room 3A
Chair(s): Veronica Piccialli

• A bi-objective K-nearest neighbors based imputation method for data with multilevel structures
  Maximiliano Cubillos, Sanne Wøhlk
• Properties of Inverse Correspondence Analysis
  Rick Willemsen, Wilco van den Heuvel
• SOS-SDP: an Exact Solver for Minimum Sum-of-Squares Clustering
  Veronica Piccialli, Antonio M. Sudoso, Angelika Wiegele

TB-28: Machine Learning and Optimization: new challenges, applications and objectives II
Stream: Mathematical Optimization and Data Science
Room: Virtual Room 28
Chair(s): M. Asuncion Jimenez-Cordero

• Improving the interpretability of linear models with categorical predictors
  Marcela Galvis Restrepo, Dolores Romero Morales, Emilio CARRIZOSA
• Empirical analysis of some fuzzy-valued trimmed means based on depth measures
  Beatriz Sinova
• Cost-aware Constraint Screening for the Unit Commitment Problem
  Álvaro Porras Cabrera, Salvador Pineda Morente, Juan Miguel Morales, M. Asuncion Jimenez-Cordero
• Data-driven prescriptive scenario selection with applications in power markets: Retailer's optimal trading
  Alberto Corredera, Carlos Ruiz

TC-28: The Role of Mathematical Optimization in Data Science I
Stream: Mathematical Optimization and Data Science
Room: Virtual Room 28
Chair(s): Claudio Gambella

• Introducing the ordered weighted average in the soft-margin SVM
  Luisa I. Martínez-Merino, Alfredo Marín, Justo Puerto, Antonio Manuel Rodriguez-Chia
• Clustering and Interpreting via Mathematical Optimization
  Kseniia Kurishchenko, Emilio CARRIZOSA, Alfredo Marín, Dolores Romero Morales
• Learning a reinforcement-learning-based heuristic over graphs for hub location problems
  En-Cheng Chang, Deepak Ajwani, Paula Carroll
• Optimization Problems for Machine Learning: A Survey
  Claudio Gambella, Bissan Ghaddar, Joe Naoum-Sawaya

TD-28: The Role of Mathematical Optimization in Data Science IV
Stream: Mathematical Optimization and Data Science
Room: Virtual Room 28
Chair(s): Alba V Olivares-Nadal

• Predicting next purchase behavior from shopping basket data using a supervised LDA approach
  Luis Aburto, Andrés Musalem
• A Two-step Anomaly Based Method for PU Classification in Imbalanced Data Sets
  Carlos Ortega Vazquez, Jochen De Weerdt, Seppe vanden Broucke
• Mathematical optimization for scoring modelling
  Guillermo Navas-Palencia
• Feature Multiproduct Newsvendor with Substitution
  Alba V Olivares-Nadal

TE-28: Data Science in Marketing and Consumer Behavior
Stream: Mathematical Optimization and Data Science
Room: Virtual Room 28
Chair(s): Burcin Bozkaya

• Making hard decisions: Which stores to close?
  Mohsen Bahrami, Yilun Xu, Alex Pentland
• Using machine learning and satellite imagery to measure store performance
  Nicole Rech, Vinicius Brei, Burcin Bozkaya, Selim Balcisoy, Mert Gurkan, Gustavo Henrique de Rosa
• Understanding utilitarian and hedonic consumer behavior in a supermarket setting
  Zeynep Kucuksari, Selim Balcisoy, Burcin Bozkaya, Vinicius Brei
• Gravitational Sales Estimation
  Burcin Bozkaya, Carla Netto, Mohsen Bahrami, Vinicius Brei, Selim Balcisoy, Alex Pentland

TF-28: Methods for Learning from Data
Stream: Mathematical Optimization and Data Science
Room: Virtual Room 28
Chair(s): James Brooks, José Dulá

• Competing DEA procedures: testings and comparisons
  Gregory Koronakos, José Dulá, Dimitris Despotis
• Optimizing the Return from a Machine Learning Model when Resources are Constrained
  Shannon Harris, Jerrold May, Luis Vargas, Johnson Moore
• Nearest convex hull classification with linear programming
  José Dulá, Anatoly Nemirko
• Conjecturing for Automated Discovery of Patterns in Data
  James Brooks, David Edwards, Craig Larson, Nico Van Cleemput

WA-28: Machine Learning and Optimization: new challenges, applications and objectives I
Stream: Mathematical Optimization and Data Science
Room: Virtual Room 28
Chair(s): M. Asuncion Jimenez-Cordero

• Multi-objective Optimization for Counterfactual Explanations
  Jasone Ramírez-Ayerbe, Emilio CARRIZOSA, Dolores Romero Morales
• A stochastic multi-scale model of Francisella tularensis infection
  Martin Lopez-Garcia
• Multilevel training startegies for artificial neural networks
  Elisa Riccietti, Henri Calandra, Serge Gratton, Xavier Vasseur
• Improving the performance of machine learning in the solution of MILPs
  M. Asuncion Jimenez-Cordero, Juan Miguel Morales, Salvador Pineda Morente

WB-28: The Role of Mathematical Optimization in Data Science III
Stream: Mathematical Optimization and Data Science
Room: Virtual Room 28
Chair(s): Reka Agnes Kovacs

• Learning to Sparsify Travelling Salesman Problem Instances
  James Fitzpatrick, Deepak Ajwani, Paula Carroll
• Model and heuristics for the scheduling rich vehicle routing problems after major disasters
  Guilherme DE CASTRO PENA, Christian Prins, Andréa Cynthia Santos
• Binary classification via Ellipsoidal Separation
  Benedetto Manca, Antonio Frangioni, Enrico Gorgone
• Binary Matrix Factorisation via Column Generation
  Reka Agnes Kovacs, Oktay Gunluk, Raphael Hauser

WC-28: The Role of Mathematical Optimization in Data Science V
Stream: Mathematical Optimization and Data Science
Room: Virtual Room 28
Chair(s): Vanesa Guerrero

• Sheepdog Algorithm: A new bio-inspired approach for feature selection.
  Shubbham Gupta, Paula Carroll, Michael Fop
• Linear regression with probabilistic linked data
  Sandra Benítez-Peña, Rafael Blanquero, Emilio CARRIZOSA, Pepa Ramírez-Cobo
• Fitting smooth curves satisfying sign, growth and curvature requirements by means of P-splines and Semidefinite Optimization.
  Vanesa Guerrero, Manuel Navarro García, Maria Durban
• On semidefinite optimization approaches to estimate smooth surfaces subject to shape constraints using P-splines
  Manuel Navarro García, Vanesa Guerrero, Maria Durban

WD-28: The Role of Mathematical Optimization in Data Science II
Stream: Mathematical Optimization and Data Science
Room: Virtual Room 28
Chair(s): Víctor Blanco

• Fair and Interpretable Decision Rules for Binary Classification
  Connor Lawless, Oktay Gunluk
• Optimal Decision Trees at the service of Functional Data Analysis
  Cristina Molero-Río, Rafael Blanquero, Emilio CARRIZOSA, Dolores Romero Morales
• A robust SVM-based approach with feature selection and outliers detection for classification problems
  Marta Baldomero-Naranjo, Luisa I. Martínez-Merino, Antonio Manuel Rodriguez-Chia
• Mathematical Optimization Models for Classification in Datasets with Noisy Labels
  Víctor Blanco, Alberto Japón Sáez, Justo Puerto