zjelveh / learning-fair-representationsLinks
Python numba implementation of Zemel et al. 2013
☆26Updated 5 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:
- Mixed Membership Stochastic Blockmodel Implementation with 3 Inference Schemes☆24Updated 10 years ago
- Code and data for the experiments in "On Fairness and Calibration"☆51Updated 3 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 11 years ago
- ☆87Updated 5 years ago
- NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.☆64Updated 7 years ago
- Source code for Naesseth et. al. "Reparameterization Gradients through Acceptance-Rejection Sampling Algorithms" (2017)☆38Updated 8 years ago
- ☆125Updated 4 years ago
- NPHC☆17Updated 4 years ago
- Deep Generative Models with Stick-Breaking Priors☆96Updated 9 years ago
- Deep exponential families (DEFs)☆55Updated 7 years ago
- Semi-synthetic experiments to test several approaches for off-policy evaluation and optimization of slate recommenders.☆43Updated 8 years ago
- Code for "Hierarchical Dirichlet-Hawkes process: generative model and inference algorithm", WWW 2017☆36Updated 7 years ago
- Bernoulli Embeddings for Text☆84Updated 8 years ago
- Experiment code for Stochastic Gradient Hamiltonian Monte Carlo☆109Updated 7 years ago
- Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models.☆44Updated 11 years ago
- Deep generative models for semi-supervised learning.☆109Updated 9 years ago
- Poisson-Gamma dynamical systems☆17Updated 9 years ago
- ☆30Updated 5 years ago
- Variational inference for Gaussian mixture models☆35Updated 12 years ago
- Code for the icml paper "zero inflated exponential family embedding"☆29Updated 8 years ago
- Variational Fourier Features☆87Updated 4 years ago
- ☆43Updated 7 years ago
- Example implementation of the Bayesian neural network in "Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteri…☆30Updated 5 years ago
- Bayesian Poisson tensor factorization☆63Updated last year
- The Matlab Code for the ICML 2015 paper "Scalable Deep Poisson Factor Analysis for Topic Modeling"☆19Updated 10 years ago
- Asymmetric Transfer Learning with Deep Gaussian Processes☆18Updated 10 years ago
- The pdf and LaTeX for each paper (and sometimes the code and data used to generate the figures).☆72Updated 8 years ago
- Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction☆161Updated 4 years ago
- Gradient-based hyperparameter optimization package with TensorFlow☆51Updated 6 years ago
- ☆146Updated 8 years ago