rajatsen91 / CCITView external linksLinks
Classifier Conditional Independence Test: A CI test that uses a binary classifier (XGBoost) for CI testing
☆48Jul 6, 2023Updated 2 years ago
Alternatives and similar repositories for CCIT
Users that are interested in CCIT are comparing it to the libraries listed below
Sorting:
- DGCIT: Double Generative Adversarial Networks for Conditional Independence Testing☆11Nov 22, 2023Updated 2 years ago
- Conditional Independence Testing with Generative Adversarial Networks☆15Nov 20, 2019Updated 6 years ago
- A decision-tree based conditional independence test.☆35Mar 11, 2023Updated 2 years ago
- The Randomized Conditional Independence Test (RCIT) and the Randomized conditional Correlation Test (RCoT)☆30May 23, 2019Updated 6 years ago
- A deep-learning-based conditional independence test that works for big, high-dimensional data.☆14Sep 2, 2017Updated 8 years ago
- Repository for "Differentiable Causal Discovery from Interventional Data"☆77Jan 31, 2022Updated 4 years ago
- A set of kernel-based (Un)conditional independence tests including SDCIT (Lee and Honavar, UAI 2017)☆17Feb 6, 2020Updated 6 years ago
- Classifier based mutual information, conditional mutual information estimation; conditional independence testing☆36Jul 23, 2019Updated 6 years ago
- ☆21Jun 16, 2020Updated 5 years ago
- Significance tests of feature relevance for a black-box learner☆20Aug 2, 2024Updated last year
- Code accompanying our ICML 2020 paper on choice set optimization in group decision-making.☆11Jun 27, 2020Updated 5 years ago
- Code for "Using Embeddings to Correct for Unobserved Confounding"☆10May 31, 2019Updated 6 years ago
- The holdout randomization test: feature selection using black box predictive models☆22Mar 19, 2021Updated 4 years ago
- Causal data augmentation for pretraining debiasing☆11Aug 31, 2021Updated 4 years ago
- G Square Conditional Independence Test☆11Mar 7, 2017Updated 8 years ago
- (Conditional) Independence testing & Markov blanket feature selection using k-NN mutual information and conditional mutual information es…☆31Jun 16, 2020Updated 5 years ago
- Implementation of the SuRP algorithm by the authors of the AISTATS 2022 paper "An Information-Theoretic Justification for Model Pruning".…☆14May 4, 2022Updated 3 years ago
- Statistical inference for fairness auditing☆14Aug 2, 2023Updated 2 years ago
- Cross-prediction-powered inference☆15Apr 26, 2024Updated last year
- Implicit generative models and related stuff based on the MMD, in PyTorch☆16Sep 24, 2020Updated 5 years ago
- Code to reproduce paper "Exploring Longitudinal Effects of Session-based Recommendations" in RecSys 2020☆15Nov 21, 2022Updated 3 years ago
- ☆17Jun 30, 2020Updated 5 years ago
- ☆35Oct 23, 2022Updated 3 years ago
- A generalized score-based method for Causal Discovery☆19Nov 3, 2020Updated 5 years ago
- Package for building Market Segmentation Trees, Choice Model Trees, and Isotonic Regression Trees☆17Apr 21, 2023Updated 2 years ago
- Various estimators of the infinite dimensional exponential family model☆16May 17, 2017Updated 8 years ago
- A implementation of FactorVAE from the paper Disentangling by Factorising, Kim & Mnih 2018 (https://arxiv.org/pdf/1802.05983.pdf )☆16Apr 24, 2018Updated 7 years ago
- Contains code relating to this arxiv paper https://arxiv.org/abs/1802.03761☆37Mar 19, 2018Updated 7 years ago
- Code associated with paper: Plug-in Regularized Estimation of High-Dimensional Parameters in Nonlinear Semiparametric Models, Chernozhuk…☆16Feb 3, 2021Updated 5 years ago
- Pytorch implementation of Wasserstein Auto-Encoders☆25Feb 7, 2018Updated 8 years ago
- ☆24Oct 26, 2021Updated 4 years ago
- Official repository of the paper "Efficient Neural Causal Discovery without Acyclicity Constraints"☆90Mar 31, 2024Updated last year
- [EMNLP 2021] Dataset and PyTorch Code for ExplaGraphs: An Explanation Graph Generation Task for Structured Commonsense Reasoning☆15Nov 5, 2022Updated 3 years ago
- Code for the paper: "Causal Influence Detection for Improving Efficiency in Reinforcement Learning", by Seitzer, M., Schölkopf, B., Marti…☆47Mar 16, 2022Updated 3 years ago
- A Causal Decision Tree algorithm for causality inference with continuous variables☆23Jan 15, 2021Updated 5 years ago
- Dynamical linear modeling (DLM) regression code for analysis of atmospheric time-series data.☆25Apr 21, 2020Updated 5 years ago
- Research code for "Choosing to grow a graph" project. Contains code for network generation and model estimation.☆26Jul 31, 2020Updated 5 years ago
- ☆29Jun 18, 2021Updated 4 years ago
- CPDAG Estimation using PC-Algorithm☆96Apr 18, 2022Updated 3 years ago