Program for stream BIGMATH - Mathematics for Big Data

WB-27: Large scale optimization
Stream: BIGMATH - Mathematics for Big Data
Room: Y313 (building Main lobby)
Chair(s): Natasa Krejic

• A harmonic framework for stepsize selection in gradient methods
  Giulia Ferrandi, Michiel Hochstenbach, Natasa Krejic
• Alternating projection approach for cardinality-constrained optimization problems
  Natasa Krejic, Marcos Raydan
• Non-monotone Line Search in Non-smooth Constrained Optimization Problems
  Nataša Krklec Jerinkić, Tijana Ostojić
• An Inexact Levenberg-Marquardt Method for Sparse Least Squares Problems
  Greta Malaspina

WC-27: Distributed and large-scale learning
Stream: BIGMATH - Mathematics for Big Data
Room: Y313 (building Main lobby)
Chair(s): Claudia Soares, Stevo Rackovic

• Accurate and Interpretable Animation: An Iterative, Sparse and Nonconvex Approach
  Stevo Rackovic
• Employing a consensus nonlinearity in distributed estimation under heavy-tail noise
  Manojlo Vukovic, Dusan Jakovetic, Dragana Bajovic, Anit Kumar Sahu, Soummya Kar
• Permutation Compressors for Provably Faster Distributed Nonconvex Optimization
  Alexander Tyurin
• Knowledge-based Initialization for Deep Neural Network Training
  Argon Chen, Ann Shyu, Cheng-Hsi Chung

WD-27: Statistical learning in Big Data
Stream: BIGMATH - Mathematics for Big Data
Room: Y313 (building Main lobby)
Chair(s): Alessandra Micheletti

• Gaussian Processes for shape modelling and registration
  Filipa Marreiros Malveiro Valdeira
• CUR decomposition for matrix triplets
  Perfect Gidisu, Michiel Hochstenbach
• Group pattern detection of longitudinal data using a functional statistics framework
  Rongjiao Ji, Alessandra Micheletti, Nataša Krklec Jerinkić
• A novel Robust Balancing Technique based on SMOTE
  Rasool Taban, Maria do Rosário Oliveira, Cláudia Nunes