Program for stream Big Data and Optimization

TC-27: Optimization and Learning from Data
Stream: Big Data and Optimization
Room: Virtual Room 27
Chair(s): Claudia Soares

• An Air Pollution Prediction Pipeline using Measurements of Pollutants Concentrations, Traffic Jams and Atmospheric Conditions with Missing Observations
  David Vicente
• Clustering of the Blendshape Facial Model
  Stevo Rackovic
• Decentralized Learning of a Mixture of Gaussians From a Dataset Distributed by Features
  Pedro Valdeira, Claudia Soares, Joao Xavier
• Learning to rank from pairwise noisy comparisons, covariate data, and prior knowledge
  Claudia Soares

TD-06: Large scale optimization II
Stream: Big Data and Optimization
Room: Building Δ, Room Δ103
Chair(s): Natasa Krejic

• A Generalized CUR decomposition for matrix pairs
  Perfect Gidisu, Michiel Hochstenbach
• Optimization methods for graph clustering
  Giulia Ferrandi
• Line-search Second-Order Stochastic optimization methods for minimizing finite sums
  Natasa Krejic, Daniela di Serafino, Nataša Krklec Jerinkić, Marco Viola
• A Modified Levenberg-Maquardt Method for Large Scale Network Adjustment
  Greta Malaspina, Natasa Krejic

TE-27: Large scale optimization I
Stream: Big Data and Optimization
Room: Virtual Room 27
Chair(s): Natasa Krejic

• Gauss-Newton approach for large-scale Riccati equations
  Marcos Raydan
• Stochastic trust-region methods with inexact restoration
  Stefania Bellavia, Natasa Krejic, Benedetta Morini, Simone Rebegoldi
• Learning exact solutions for geometric set cover and related problems
  Dena Tayebi, Deepak Ajwani, Saurabh Ray
• An adaptive subsampled Hessian-free optimization method for statistical learning
  Fabian Bastin, Jean Laprés-Chartrand, Jeremy RIEUSSEC, Loïc Shi-Garrier

TF-27: Robust, federated, and distributed learning
Stream: Big Data and Optimization
Room: Virtual Room 27
Chair(s): Dusan Jakovetic

• EFIX: Exact Fixed Point Methods for Distributed Optimization
  Nataša Krklec Jerinkić, Dusan Jakovetic, Natasa Krejic
• Towards more robust neural network models with Negative Deep Learning
  Nemanja Milosevic, Miloš Racković
• Decentralized stochastic non-convex optimization
  Usman Khan, Ran Xin, Soummya Kar