wangtongada / BOALinks
Bayesian or-of-and
☆36Updated 3 years ago
Alternatives and similar repositories for BOA
Users that are interested in BOA are comparing it to the libraries listed below
Sorting:
- Implementation of linear CorEx and temporal CorEx.☆36Updated 4 years ago
- General Latent Feature Modeling for Heterogeneous data☆50Updated last year
- Code for the icml paper "zero inflated exponential family embedding"☆29Updated 8 years ago
- ☆53Updated 7 years ago
- Exponential family embeddings (Poisson or Bernoulli) for discrete data☆32Updated 6 years ago
- Code for "Towards a learning theory of cause-effect inference" (ICML 2015).☆30Updated 5 years ago
- repository for R library "sbrlmod"☆25Updated last year
- The holdout randomization test: feature selection using black box predictive models☆22Updated 4 years ago
- Scikit-learn compatible implementations of the Random Rotation Ensemble idea of (Blaser & Fryzlewicz, 2016)☆43Updated 9 years ago
- A Python Package providing two algorithms, DAME and FLAME, for fast and interpretable treatment-control matches of categorical data☆62Updated 5 months ago
- ☆87Updated 5 years ago
- Code for "Using Embeddings to Correct for Unobserved Confounding"☆10Updated 6 years ago
- Code for "Hierarchical Dirichlet-Hawkes process: generative model and inference algorithm", WWW 2017☆36Updated 7 years ago
- ☆99Updated 7 years ago
- python tools to check recourse in linear classification☆77Updated 4 years ago
- Python code for implementing embeddings in the Wasserstein space of elliptical distributions☆11Updated 5 years ago
- Experiments for AAAI anchor paper☆66Updated 7 years ago
- Non-stationary Off-policy Evaluation☆13Updated 7 years ago
- Code and data for the experiments in "On Fairness and Calibration"☆51Updated 3 years ago
- Software and pre-processed data for "Using Embeddings to Correct for Unobserved Confounding in Networks"☆57Updated 2 years ago
- Replication code for the article "Learning Functional Causal Models with Generative Neural Networks"☆100Updated 6 years ago
- Revealing mesocale structures of time-varying networks through non-negative tensor factorization☆45Updated 10 years ago
- Variational Fourier Features☆85Updated 4 years ago
- Python implementation of 'Scalable Recommendation with Hierarchical Poisson Factorization'.☆79Updated 7 months ago
- Tutorial on Bayesian tests for Machine Learning☆78Updated 5 years ago
- Code for the Structural Agnostic Model (https://arxiv.org/abs/1803.04929)☆54Updated 4 years ago
- Code to reproduce the numerical experiments in the paper Domain adaptation under structural causal models by Yuansi Chen and Peter Bühlma…☆18Updated 4 years ago
- Dirichlet MLE python library☆117Updated 4 months ago
- Bayesian Poisson Tucker decomposition☆17Updated 8 years ago
- ☆125Updated 4 years ago