zecevic-matej / ESSAI-2023-Causality
European Summer School on AI Course "Machines Climbing Pearl's Ladder of Causation"
☆13Updated 9 months ago
Related projects ⓘ
Alternatives and complementary repositories for ESSAI-2023-Causality
- Official repository of the paper "Efficient Neural Causal Discovery without Acyclicity Constraints"☆80Updated 7 months ago
- Eastern European Machine Learning Summer School (EEML) Workshop Series 2022. Tutorial on Causality for the Serbian Machine Learning Works…☆21Updated 2 years ago
- Short tutorials on the use of machine learning methods for causal inference☆48Updated 2 years ago
- DiBS: Differentiable Bayesian Structure Learning, NeurIPS 2021☆46Updated 8 months ago
- ☆22Updated 2 years ago
- Neural Causal Model (NCM) implementation by the authors of The Causal Neural Connection.☆22Updated last year
- Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed caus…☆68Updated 3 years ago
- Code for "Bayesian Structure Learning with Generative Flow Networks"☆80Updated 2 years ago
- Bayesian active learning with EPIG data acquisition☆25Updated 6 months ago
- ☆21Updated last year
- Amortized Inference for Causal Structure Learning, NeurIPS 2022☆54Updated 8 months ago
- ☆43Updated 2 years ago
- ☆39Updated 2 years ago
- ☆24Updated last year
- Code used in the paper "Score matching enables causal discovery of nonlinear additive noise models", Rolland et al., ICML 2022☆14Updated 2 years ago
- Repository for "Generative Flow Networks as Entropy-Regularized RL" (AISTATS-2024, Oral)☆25Updated 7 months ago
- Code for the Causal Bayesian Optimization algorithm (http://proceedings.mlr.press/v108/aglietti20a/aglietti20a.pdf)☆27Updated 4 years ago
- Dataset repository for the 2024 paper "The Causal Chambers: Real Physical Systems as a Testbed for AI Methodology" by Juan L. Gamella, Jo…☆24Updated 2 weeks ago
- Conformal prediction for controlling monotonic risk functions. Simple accompanying PyTorch code for conformal risk control in computer vi…☆59Updated last year
- Official Implementation of the paper "Variational Causal Networks: Approximate Bayesian Inference over Causal Structures"☆17Updated 3 years ago
- Code for "Causal autoregressive flows" - AISTATS, 2021☆44Updated 3 years ago
- ☆51Updated 4 months ago
- CSuite: A Suite of Benchmark Datasets for Causality☆58Updated last year
- Code to reproduce our paper on probabilistic algorithmic recourse: https://arxiv.org/abs/2006.06831☆35Updated last year
- Code to reproduce the experimental results from the paper "Active Invariant Causal Prediction: Experiment Selection Through Stability", b…☆19Updated last year
- ☆21Updated 11 months ago
- Differentiable DAG Sampling (ICLR 2022)☆36Updated 2 years ago
- Active Bayesian Causal Inference (Neurips'22)☆51Updated 3 months ago
- Official codebase for the paper "Provable concept learning for interpretable predictions using variational inference".☆13Updated 2 years ago
- Code for the causal benchmark library☆10Updated last month