lttam/RobustOT-NoisyTreeMetric
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% This is the code for the paper % Title: "Optimal Transport for Measures with Noisy Tree Metric" % Authors: Tam Le, Truyen Nguyen, Kenji Fukumizu % Published at AISTATS 2024 % ***** Data: e.g., 'twitter.mat' for the TWITTER dataset % Please see: https://github.com/lttam/SobolevTransport (for the dataset % 'twitter.mat' % --- third-party toolbox for tree-Wasserstein (in LibTW folder) % addPath.m : to set path for the LibTW folder % Step 1: Build tree metric % -- compute_Tree_Representation.m % Step 2: Generate perturbation % -- compute_Tree_Noise.m % Step 3: Compute max-min robust OT for measures with tree metric % --- For constraints on individual edges --- % For local approach: compute_RobustOT_Local.m % --- For constraints on set of edges --- % For global approach: compute_RobustOT_Global.m
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Code for "Optimal Transport for Measures with Noisy Tree Metric", published at AISTATS 2024 (Authors: Tam Le, Truyen Nguyen, Kenji Fukumizu)
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