finnhacks42 / causal_bandits
☆16Updated 8 years ago
Alternatives and similar repositories for causal_bandits:
Users that are interested in causal_bandits are comparing it to the libraries listed below
- ☆22Updated last year
- Simulation code for reference with MABUC article: Bareinboim, Forney, & Pearl (2015)☆17Updated 9 years ago
- ☆87Updated 5 years ago
- Structural Causal Bandit☆24Updated 3 years ago
- Causal Inference & Deep Learning, MIT IAP 2018☆87Updated 7 years ago
- Code for "Counterfactual Off-Policy Evaluation with Gumbel-Max Structural Causal Models" (ICML 2019)☆44Updated 4 years ago
- (ICML2020) “Counterfactual Cross-Validation: Stable Model Selection Procedure for Causal Inference Models’’☆31Updated 2 years ago
- Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design☆31Updated 3 years ago
- Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed caus…☆74Updated 4 years ago
- Reimplementation of NOTEARS in Tensorflow☆35Updated 2 years ago
- Non-parametrics for Causal Inference☆44Updated 3 years ago
- Code for the Structural Agnostic Model (https://arxiv.org/abs/1803.04929)☆52Updated 4 years ago
- Code for "Neural causal learning from unknown interventions"☆101Updated 4 years ago
- Uncertainty in Conditional Average Treatment Effect Estimation☆31Updated 4 years ago
- OxCSML research group reading groups and meetings at the Department of Statistics, University of Oxford.☆93Updated 3 years ago
- ☆38Updated 6 years ago
- Project on Causal Machine learning CS 7290☆16Updated 5 years ago
- Short tutorials on the use of machine learning methods for causal inference☆49Updated 2 years ago
- Deconfounding Reinforcement Learning in Observational Settings☆51Updated 6 years ago
- Code for a variety of nonlinear conditional independence tests and 'nonlinear Invariant Causal Prediction' to estimate the causal parents…☆17Updated 5 years ago
- A Python library for reinforcement learning using Bayesian approaches☆54Updated 9 years ago
- Source code for Naesseth et. al. "Reparameterization Gradients through Acceptance-Rejection Sampling Algorithms" (2017)☆39Updated 7 years ago
- ☆30Updated 4 years ago
- An optimization-based algorithm to accurately estimate the causal effects and robustly predict under distribution shifts. It leverages th…☆14Updated 9 months ago
- Exponential family embeddings (Poisson or Bernoulli) for discrete data☆32Updated 5 years ago
- A tensorflow implementation of VAE training with Renyi divergence☆31Updated 8 years ago
- Non-stationary Off-policy Evaluation☆13Updated 6 years ago
- code release for the NIPS 2016 paper☆26Updated 8 years ago
- ☆43Updated 3 years ago
- Code Repo for "Subspace Inference for Bayesian Deep Learning"☆82Updated 10 months ago