zjelveh / learning-fair-representationsLinks
Python numba implementation of Zemel et al. 2013
☆26Updated 4 years ago
Alternatives and similar repositories for learning-fair-representations
Users that are interested in learning-fair-representations are comparing it to the libraries listed below
Sorting:
- Code and data for the experiments in "On Fairness and Calibration"☆51Updated 3 years ago
- ☆26Updated 7 years ago
- ☆124Updated 4 years ago
- Mixed Membership Stochastic Blockmodel Implementation with 3 Inference Schemes☆24Updated 9 years ago
- References for Papers at the Intersection of Causality and Fairness☆18Updated 6 years ago
- Python code for training fair logistic regression classifiers.☆189Updated 3 years ago
- AttriRank - Unsupervised Ranking using Graph Structures and Node Attributes☆22Updated 7 years ago
- Code for "Hierarchical Dirichlet-Hawkes process: generative model and inference algorithm", WWW 2017☆36Updated 6 years ago
- The Matlab Code for the ICML 2015 paper "Scalable Deep Poisson Factor Analysis for Topic Modeling"☆19Updated 9 years ago
- ☆43Updated 6 years ago
- Deep exponential families (DEFs)☆55Updated 7 years ago
- Bayesian Poisson tensor factorization☆59Updated 7 months ago
- Gradient-based hyperparameter optimization package with TensorFlow☆51Updated 5 years ago
- Code for our ICML '19 paper: Neural Network Attributions: A Causal Perspective.☆51Updated 3 years ago
- Movies Recommendation with Hierarchical Poisson Factorization in Edward☆18Updated 8 years ago
- Code for the icml paper "zero inflated exponential family embedding"☆29Updated 7 years ago
- NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.☆63Updated 7 years ago
- Semi supervised learning on graphs☆35Updated 7 years ago
- Feature Interaction Interpretability via Interaction Detection☆34Updated 2 years ago
- This is code associated with the paper: Broderick, T, Boyd, N, Wibisono, A, Wilson, AC, and Jordan, MI. Streaming variational Bayes. Neur…☆41Updated 10 years ago
- Semi-synthetic experiments to test several approaches for off-policy evaluation and optimization of slate recommenders.☆43Updated 7 years ago
- ☆87Updated 5 years ago
- Python implementation of the Invariant Causal Prediction (ICP) algorithm, from the 2015 paper "Causal inference using invariant predictio…☆22Updated last year
- Code for "Using Embeddings to Correct for Unobserved Confounding"☆10Updated 6 years ago
- Python code for implementing embeddings in the Wasserstein space of elliptical distributions☆11Updated 4 years ago
- ☆32Updated 7 years ago
- Code for "Counterfactual Fairness" (NIPS2017)☆54Updated 6 years ago
- Beyond Outlier Detection: LookOut for Pictorial Explanation☆26Updated 6 years ago
- ☆22Updated 6 years ago
- Source code for Naesseth et. al. "Reparameterization Gradients through Acceptance-Rejection Sampling Algorithms" (2017)☆39Updated 8 years ago