Program for stream European Working Group: Data Science Meets Optimization

MA-09: The Role of Mathematical Optimization in Data Science I
Stream: European Working Group: Data Science Meets Optimization
Room: SOUTH BUILDING UV S109 (building 0)
Chair(s): Vanesa Guerrero

• Tree-structured data clustering
  Derya Dinler, Mustafa Kemal Tural, Nur Evin Ozdemirel
• Dealing with heterogeneous data via constrained lasso
  M. Remedios Sillero-Denamiel, Rafael Blanquero, Emilio CARRIZOSA, Pepa Ramírez-Cobo
• DCA for robust principal component analysis
  Hoai Minh Le, Vo Xuan Thanh
• On mathematical optimization to interpret factor analysis
  Vanesa Guerrero, Emilio CARRIZOSA, Dolores Romero Morales, Albert Satorra

MB-09: The Role of Mathematical Optimization in Data Science II
Stream: European Working Group: Data Science Meets Optimization
Room: SOUTH BUILDING UV S109 (building 0)
Chair(s): Vanesa Guerrero

• On the construction of optimal randomized classification trees
  Cristina Molero-Río, Rafael Blanquero, Emilio CARRIZOSA, Dolores Romero Morales
• Stochastic DCA for group feature selection in multiclass classification
  Bach Tran, Hoai An Le Thi, Hoai Minh Le, Duy Nhat Phan
• Class probability estimation for SVM with asymmetric costs
  Sandra Benítez-Peña, Rafael Blanquero, Emilio CARRIZOSA, Pepa Ramírez-Cobo
• Some improvements of SVM and SVR for functional data
  M. Asuncion Jimenez-Cordero, Rafael Blanquero, Emilio CARRIZOSA, Belen Martin Barragan

MC-09: The Role of Mathematical Optimization in Data Science III
Stream: European Working Group: Data Science Meets Optimization
Room: SOUTH BUILDING UV S109 (building 0)
Chair(s): Philipp Baumann

• An optimization model for credit score based offer management in telecommunication sector
  AYSE SEDA YAVUZ, Erinc Albey
• A matheuristic for binary classification of data sets using hyperboxes
  Derya Akbulut, Cem Iyigün, Nur Evin Ozdemirel
• Particle swarm optimization based regression
  Donghee Yoon, SeJoon Park, Nagyoon Song, Suemin Kim, Dohyun (Norman) Kim
• Scaling up similarity-based machine learning models: new geometric algorithms for sparse computation
  Philipp Baumann, Dorit Hochbaum, Quico Spaen

MD-09: The Role of Mathematical Optimization in Data Science IV
Stream: European Working Group: Data Science Meets Optimization
Room: SOUTH BUILDING UV S109 (building 0)
Chair(s): Vanesa Guerrero

• A branch-and-price approach to find optimal decision trees
  Murat Firat, Guillaume Crognier, Adriana F. Gabor, Yingqian Zhang
• Predicting review helpfulness: an open problem?
  Anne-Sophie Hoffait, Ashwin Ittoo
• Interpretable deep learning models for financial applications
  Pavankumar Murali
• Optimized re-ranking approaches for a doctor recommender system
  Hongxun Jiang

TA-09: The Role of Mathematical Optimization in Data Science V
Stream: European Working Group: Data Science Meets Optimization
Room: SOUTH BUILDING UV S109 (building 0)
Chair(s): Adam Elmachtoub

• Small-data, large-scale linear optimziation
  Vishal Gupta, Paat Rusmevichientong
• Condition number analysis of logistic regression and its implications for standard first-order solution methods
  Paul Grigas, Robert M. Freund, Rahul Mazumder
• Discovering optimal policies: a machine learning approach to model analysis
  Fernanda Bravo, Yaron Shaposhnik
• Smart predict, then optimize
  Adam Elmachtoub, Paul Grigas

TB-09: The Role of Data Science in Optimization
Stream: European Working Group: Data Science Meets Optimization
Room: SOUTH BUILDING UV S109 (building 0)
Chair(s): Patrick De Causmaecker

• A data-driven model for routing mobile medical facilities
  Sibel Salman, Burcin Bozkaya, Eda Yücel, Cemre Gokalp
• Constraint learning using tensor (COUNT)
  Mohit Kumar, Luc De Raedt, Stefano Teso
• Value of product location information in agrifood logistics decision making: a multi-level perspective
  Viet Nguyen, Jacqueline Bloemhof
• Data, information, knowledge and optimisation.
  Patrick De Causmaecker

TD-09: Evaluation as a Service for Optimization and Data Science
Stream: European Working Group: Data Science Meets Optimization
Room: SOUTH BUILDING UV S109 (building 0)
Chair(s): Szymon Wasik, Maciej Antczak

• Optil.io: platform supporting evaluation as a service architecture
  Szymon Wasik, Maciej Antczak, Jan Badura, Artur Laskowski
• Using contests to crack algorithmic and data science problems
  Rinat Sergeev, Jin Paik
• Review of online platforms supporting evaluation of algorithms
  Artur Laskowski, Maciej Antczak, Jan Badura, Szymon Wasik
• Brilliant challenges: lessons learned while collecting evaluation data for optimization problems
  Maciej Antczak, Jan Badura, Artur Laskowski, Jacek Blazewicz, Szymon Wasik

WA-09: Graphs, Data and Optimization
Stream: European Working Group: Data Science Meets Optimization
Room: SOUTH BUILDING UV S109 (building 0)
Chair(s): Pieter Leyman

• A scale-independent structural definition of community detection in graphs
  Alexander Braekevelt, Pieter Leyman, Patrick De Causmaecker
• Network structure and dynamics of European stock markets
  José G. Dias
• Supporting evaluation of algorithms during pace challenges
  Jan Badura, Maciej Antczak, Artur Laskowski, Szymon Wasik
• A self-adaptive evolutionary algorithm for the intermittent traveling salesman problem with different temperature profiles
  Pieter Leyman, Patrick De Causmaecker

WB-09: Data Science in Optimization Algorithms
Stream: European Working Group: Data Science Meets Optimization
Room: SOUTH BUILDING UV S109 (building 0)
Chair(s): Andrew J. Parkes, Daniel Karapetyan

• Quick termination of poor performers in automated algorithm configuration
  Daniel Karapetyan, Andrew J. Parkes, Thomas Stützle
• Features of genetic algorithms realization for the Euclidean combinatorial optimization problems
  Oleksii Kartashov
• Metaheuristics for the search for SAT heuristics
  Andrew Burnett, Andrew J. Parkes
• Machine learning of the quality of machine-generated heuristics
  Andrew J. Parkes, Ender Özcan, Asghar Neema Mohammad Beglou

WC-09: Integrating Machine Learning in Optimization Methods
Stream: European Working Group: Data Science Meets Optimization
Room: SOUTH BUILDING UV S109 (building 0)
Chair(s): Kevin Tierney

• A data science approach for OD matrix analysis in transportation modelling
  Lídia Montero, Jaume Barceló, Xavier Ros-Roca
• Optimization of Shows Schedules on Linear Television
  Sebastian Souyris, Jaime Miranda
• Online algorithm selection for operational-level combinatorial optimisation problems
  Hans Degroote, Lars Kotthoff, Jose Luis Gonzalez-Velarde, Bernd Bischl, Patrick De Causmaecker
• Deep learning assisted heuristic tree search for the container pre-marshalling problem
  André Hottung, Shunji Tanaka, Kevin Tierney

WD-09: Optimization of Machine Learning Models
Stream: European Working Group: Data Science Meets Optimization
Room: SOUTH BUILDING UV S109 (building 0)
Chair(s): Dimitri Papadimitriou

• Fractional Euclidean distance matrices for Kriging surrogate model
  Natalija Pozniak, Leonidas Sakalauskas
• Recurrent parameter estimation algorithm in hidden Markov models with application to multivariate data analysis and signal recognition
  Jūratė Vaičiulytė, Leonidas Sakalauskas
• A novel optimization based algorithm for multi-class data classification problem
  Fatih Rahim, Metin Turkay
• Combined structure and weight learning for neural networks
  Dimitri Papadimitriou