amazon-science / quantile-aggregationLinks
Code for Flexible Model Aggregation for Quantile Regression
☆18Updated 3 years ago
Alternatives and similar repositories for quantile-aggregation
Users that are interested in quantile-aggregation are comparing it to the libraries listed below
Sorting:
- Conformal Bayes with importance sampling☆23Updated 4 years ago
- Code to reproduce the numerical experiments in the paper Domain adaptation under structural causal models by Yuansi Chen and Peter Bühlma…☆18Updated 4 years ago
- Conditional calibration of conformal p-values for outlier detection.☆38Updated 3 years ago
- Linear Models with Python☆22Updated last year
- Official implementation of the paper "Interventions, Where and How? Experimental Design for Causal Models at Scale", NeurIPS 2022.☆20Updated 3 years ago
- Course materials for Advanced Topics in Statistical Learning, Spring 2023☆50Updated 6 months ago
- Fully Bayesian Inference in GPs - Gaussian and Generic Likelihoods☆22Updated 2 years ago
- Adaptive and Reliable Classification: efficient conformity scores for multi-class classification problems☆33Updated 3 years ago
- Codebase for "Demystifying Black-box Models with Symbolic Metamodels", NeurIPS 2019.☆51Updated 6 years ago
- Cross-prediction-powered inference☆15Updated last year
- Gaussian Process and Uncertainty Quantification Summer School 2020☆33Updated 3 years ago
- Gaussian processes on graphs and lattices in Stan.☆19Updated 10 months ago
- https://mdogucu.github.io/teach-tidyverse☆10Updated 4 years ago
- Real time estimation of epidemic Effective Reproduction Number for Luxembourg☆12Updated 3 years ago
- Code for utilising VAE as means of doing exact MCMC inference in complex high-dimensional space☆14Updated 2 years ago
- Bayesian optimization with conformal coverage guarantees☆29Updated 3 years ago
- Implementation of GPLVM and Bayesian GPLVM in pytorch/gpytorch☆15Updated 4 years ago
- An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.☆22Updated 4 years ago
- Code for Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding☆24Updated 3 years ago
- An optimization-based algorithm to accurately estimate the causal effects and robustly predict under distribution shifts. It leverages th…☆14Updated last year
- R package to compute distribution-free prediction bands using density estimators☆11Updated 4 years ago
- Lectures on Quantitative Economics Using JAX☆48Updated this week
- An implementation of Self-Calibrating Conformal Prediction, accepted to Neurips 2024. SC-CP combines Venn-Abers calibration and conformal…☆10Updated last year
- GAMI-Net: Generalized Additive Models with Structured Interactions☆31Updated 3 years ago
- Data for Decision, Affordable Analytics for All☆10Updated last year
- ☆18Updated last year
- Library for Bayesian Neural Networks in PyTorch (first version as published in ProbProg2020)☆42Updated 4 years ago
- Data for and description of the ACIC 2023 data competition☆32Updated 2 years ago
- Distributional Gradient Boosting Machines☆28Updated 3 years ago
- Implementation of algorithms from the paper "Globally-Consistent Rule-Based Summary-Explanations for Machine Learning Models: Application…☆25Updated 3 years ago