anndvision / quince
Code for Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding
☆21Updated 2 years ago
Alternatives and similar repositories for quince:
Users that are interested in quince are comparing it to the libraries listed below
- Official implementation of the paper "Interventions, Where and How? Experimental Design for Causal Models at Scale", NeurIPS 2022.☆19Updated 2 years ago
- Uncertainty in Conditional Average Treatment Effect Estimation☆31Updated 4 years ago
- Project on Causal Machine learning CS 7290☆16Updated 5 years ago
- ☆29Updated 6 years ago
- Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"☆25Updated 3 years ago
- ☆17Updated last year
- Code to reproduce the experimental results from the paper "Active Invariant Causal Prediction: Experiment Selection Through Stability", b…☆20Updated last year
- Uses several statistical tests / algorithms on marginal / conditional distributions☆8Updated last year
- ☆32Updated 6 years ago
- The Medkit-Learn(ing) Environment: Medical Decision Modelling through Simulation (NeurIPS 2021) by Alex J. Chan, Ioana Bica, Alihan Huyuk…☆29Updated 3 years ago
- Code for "Exponential Family Estimation via Adversarial Dynamics Embedding" (NeurIPS 2019)☆13Updated 5 years ago
- Bounding causal effects in general (continuous, non-additive) instrumental variable models.☆14Updated last year
- ☆17Updated 6 years ago
- Library for Bayesian Neural Networks in PyTorch (first version as published in ProbProg2020)☆42Updated 3 years ago
- Official code repository to the corresponding paper.☆29Updated last year
- Code for "Neural causal learning from unknown interventions"☆100Updated 4 years ago
- This is the code for the paper Jacobian-based Causal Discovery with Nonlinear ICA, demonstrating how identifiable representations (partic…☆18Updated 7 months ago
- Tutorial on Multi-Objective Recommender Systems @ KDD 2021☆19Updated 2 years ago
- Code for Unbiased Implicit Variational Inference (UIVI)☆14Updated 6 years ago
- Using / reproducing DAC from the paper "Disentangled Attribution Curves for Interpreting Random Forests and Boosted Trees"☆27Updated 4 years ago
- Adaptive and Reliable Classification: efficient conformity scores for multi-class classification problems☆31Updated 2 years ago
- Companion code for the paper "Learnable Uncertainty under Laplace Approximations" (UAI 2021).☆20Updated 3 years ago
- General purpose library for BNNs, and implementation of OC-BNNs in our 2020 NeurIPS paper.☆38Updated 2 years ago
- SODEN: A Scalable Continuous-Time Survival Model through Ordinary Differential Equation Networks☆13Updated 2 years ago
- Causal Effect Inference for Structured Treatments (SIN) (NeurIPS 2021)☆42Updated 2 years ago
- A Random Matrix Approach to Extreme Learning Machine☆14Updated 7 years ago
- Code repository for the AISTATS 2021 paper "Towards Understanding the Optimal Behaviors of Deep Active Learning Algorithms"☆15Updated 4 years ago
- Random feature latent variable models in Python☆22Updated last year
- This packages provides a simple python implementation of Invariant Causal Prediction (ICP)☆13Updated last year
- An Empirical Study of Invariant Risk Minimization☆27Updated 4 years ago