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Program for stream Big Data and Optimization
Sunday
Monday
Tuesday
Tuesday, 12:30-14:00
TC-27: Optimization and Learning from Data
Stream: Big Data and Optimization
Room: Virtual Room 27
Chair(s):
Claudia Soares
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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
Tuesday, 14:30-16:00
TD-06: Large scale optimization II
Stream: Big Data and Optimization
Room: Building Δ, Room Δ103
Chair(s):
Natasa Krejic
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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
Tuesday, 16:30-18:00
TE-27: Large scale optimization I
Stream: Big Data and Optimization
Room: Virtual Room 27
Chair(s):
Natasa Krejic
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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
Tuesday, 18:30-20:00
TF-27: Robust, federated, and distributed learning
Stream: Big Data and Optimization
Room: Virtual Room 27
Chair(s):
Dusan Jakovetic
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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