☆87Apr 3, 2020Updated 5 years ago
Alternatives and similar repositories for deconfounder_tutorial
Users that are interested in deconfounder_tutorial are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆23Dec 19, 2022Updated 3 years ago
- ☆10Nov 30, 2022Updated 3 years ago
- Direct Gibbs sampling for DPMM using python.☆17Jun 2, 2017Updated 8 years ago
- Python implementation of 'Scalable Recommendation with Hierarchical Poisson Factorization'.☆78May 9, 2025Updated 10 months ago
- Code associated with paper: Orthogonal Machine Learning for Demand Estimation: High-Dimensional Causal Inference in Dynamic Panels, Seme…☆27May 10, 2023Updated 2 years ago
- Code to run submissions for the Atlantic Causal Inference Competition☆45Aug 14, 2024Updated last year
- Repository for the code of the paper "Neural Networks Regularization Through Class-wise Invariant Representation Learning".☆12Oct 1, 2017Updated 8 years ago
- Data for and description of the ACIC 2023 data competition☆32Jun 9, 2023Updated 2 years ago
- Variational Factorization Machines☆17Dec 20, 2016Updated 9 years ago
- Code for the Structural Agnostic Model (https://arxiv.org/abs/1803.04929)☆54Jan 18, 2021Updated 5 years ago
- Software and data for "Using Text Embeddings for Causal Inference"☆125Sep 23, 2020Updated 5 years ago
- A every-so-often-updated collection of every causality + machine learning paper submitted to arXiv in the recent past.☆414Sep 10, 2020Updated 5 years ago
- Code for the paper "Optimal Off-Policy Evaluation from Multiple Logging Policies"☆15Jul 17, 2021Updated 4 years ago
- Public repo containing code to train, visualize, and evaluate semi-supervised topic models and baselines for regression/classification on…☆11Apr 15, 2020Updated 5 years ago
- Provable Worst Case Guarantees for the Detection of Out-of-Distribution Data☆13Sep 20, 2022Updated 3 years ago
- ☆11Jul 13, 2018Updated 7 years ago
- ☆53Feb 15, 2018Updated 8 years ago
- Bernoulli Embeddings for Text☆84Nov 17, 2017Updated 8 years ago
- Code for "Neural causal learning from unknown interventions"☆104Jul 8, 2020Updated 5 years ago
- Code for NeurIPS 2020 paper: "Estimating the Effects of Continuous-valued Interventions using Generative Adversarial Networks" by I. Bica…☆30Jan 8, 2021Updated 5 years ago
- ☆12Nov 1, 2019Updated 6 years ago
- Model Primitive Hierarchical Reinforcement Learning☆13Dec 8, 2022Updated 3 years ago
- Repository for transferGWAS, a deep learning method for performing genome-wide association studies on full medical imaging data.☆14Jul 29, 2022Updated 3 years ago
- Semi-synthetic experiments to test several approaches for off-policy evaluation and optimization of slate recommenders.☆43Nov 2, 2017Updated 8 years ago
- Cyclic Causal Inference☆13Jan 12, 2024Updated 2 years ago
- A tensorflow implementation of the NIPS 2018 paper "Variational Inference with Tail-adaptive f-Divergence"☆20Jan 11, 2019Updated 7 years ago
- ☆35Oct 1, 2018Updated 7 years ago
- A TensorFlow implementation of the gated variant of PixelCNN (Gated PixelCNN) from "Conditional Image Generation with PixelCNN Decoders" …☆27Feb 26, 2017Updated 9 years ago
- Package for computing causal effects of text (as treatment)☆74May 3, 2022Updated 3 years ago
- Causal Effect Inference for Structured Treatments (SIN) (NeurIPS 2021)☆42Apr 26, 2022Updated 3 years ago
- Supercharging Imbalanced Data Learning WithCausal Representation Transfer☆12Nov 29, 2021Updated 4 years ago
- ☆10Nov 11, 2016Updated 9 years ago
- Learning the Difference that Makes a Difference with Counterfactually-Augmented Data☆170Apr 26, 2021Updated 4 years ago
- A series of interactive labs we prepared for the Introduction into Machine Learning and Deep Learning course. The content of the series i…☆11Dec 3, 2020Updated 5 years ago
- Companion code for the paper "Learnable Uncertainty under Laplace Approximations" (UAI 2021).☆19Jun 8, 2021Updated 4 years ago
- Repository for "Differentiable Causal Discovery from Interventional Data"☆77Jan 31, 2022Updated 4 years ago
- "Exploratory Data Analysis using Random Forests"☆18Feb 12, 2016Updated 10 years ago
- ☆47Apr 8, 2022Updated 3 years ago
- Short tutorials on the use of machine learning methods for causal inference☆50Nov 21, 2022Updated 3 years ago