[ICLR2021] Official Pytorch implementation of "When Optimizing f-Divergence is Robust with Label noise"
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Updated
Dec 19, 2022 - Python
[ICLR2021] Official Pytorch implementation of "When Optimizing f-Divergence is Robust with Label noise"
[AISTATS2021] Official implementation of "Sample Elicitation"
[NeurIPS2024] Official Pytorch implementation of "Mutual Information Estimation via f-Divergence and Data Derangements"
[ICML2024] Official Pytorch implementation of "f-Divergence Based Classification: Beyond the Use of Cross-Entropy"
[SmartGridComm2024] Official Pytorch implementation of "Label Noise Resistant f-Divergence Receiver for Power Line Communications"
Discretized Wasserstein Particle Flows of a MMD-regularized f-divergence functional.
SWIG bindings for best subset, best partition solvers, multiple flavors, multiple objectives
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