matthklein / fair_k_center_clusteringLinks
Code for our paper "Fair k-Center Clustering for Data Summarization"
☆12Updated 6 years ago
Alternatives and similar repositories for fair_k_center_clustering
Users that are interested in fair_k_center_clustering are comparing it to the libraries listed below
Sorting:
- SpectralClustering_RandomBinning (SC_RB) is a simple code for scaling up spectral clustering on large-scale datasets.☆12Updated 6 years ago
- Coresets☆37Updated 3 years ago
- FALKON implementation used in the experimental section of "FALKON: An Optimal Large Scale Kernel Method"☆30Updated 4 years ago
- Non-Parametric Calibration for Classification (AISTATS 2020)☆19Updated 3 years ago
- Morgan A. Schmitz., Matthieu Heitz, Nicolas Bonneel, Fred Ngole, David Coeurjolly, Marco Cuturi, Gabriel Peyré, and Jean-Luc Starck. "Was…☆20Updated 5 years ago
- Scalable Hierarchical Clustering with Tree Grafting☆28Updated 3 years ago
- Efficient LSH-based kernel density estimation☆29Updated 5 years ago
- Anchor-t-SNE for large-scale and high-dimension vector visualization☆56Updated 5 years ago
- Pytorch package for geometric softmax☆12Updated 6 years ago
- The reference implementation of FEATHER from the CIKM '20 paper "Characteristic Functions on Graphs: Birds of a Feather, from Statistical…☆51Updated 2 years ago
- Movies Recommendation with Hierarchical Poisson Factorization in Edward☆18Updated 8 years ago
- This repo contains code for GeoMLE intrinsic dimension estimation algorithm☆20Updated 5 years ago
- Learning Tree structures and Tree metrics☆23Updated last year
- Python implementation of Robust Continuous Clustering☆106Updated 6 years ago
- Distance Metric Learning Algorithms for Python☆173Updated 4 years ago
- Optimization and Regularization variants of Non-negative Matrix Factorization (NMF)☆33Updated 6 years ago
- Fast consensus clustering in networks☆22Updated 11 months ago
- Wasserstein regularization for sparse multi-task regression☆15Updated 5 years ago
- CO-Optimal Transport☆42Updated 4 years ago
- Fast, principled L1-regularized loss minimization☆24Updated last year
- Graph matching and clustering by comparing heat kernels via optimal transport.☆27Updated 2 years ago
- Python package for evaluating model calibration in classification☆20Updated 5 years ago
- Dirichlet Process K-means☆48Updated last year
- Change Detection in Graph Streams by Learning Graph Embeddings on Constant-Curvature Manifolds (2018, https://arxiv.org/abs/1805.06299)☆11Updated 5 years ago
- SuNBEaM, (s)pectral (n)on-(b)acktracking (e)igenvalue pseudo-(m)etric, a topological graph distance☆15Updated 5 years ago
- mixed membership stochastic block model☆13Updated 9 years ago
- ☆32Updated 7 years ago
- Python implementation of smooth optimal transport.☆60Updated 4 years ago
- Bayesian Poisson Tucker decomposition☆17Updated 8 years ago
- [NeurIPS 2019 Spotlight] High dimensional mean estimation and outlier detection in nearly-linear time.☆26Updated 5 years ago