deep-spin / non-exchangeable-crcLinks
☆10Updated last year
Alternatives and similar repositories for non-exchangeable-crc
Users that are interested in non-exchangeable-crc are comparing it to the libraries listed below
Sorting:
- Code for multistep feedback covariate shift conformal prediction experiments in "Conformal Validity Guarantees Exist for Any Data Distrib…☆27Updated last year
- Conformal prediction for controlling monotonic risk functions. Simple accompanying PyTorch code for conformal risk control in computer vi…☆67Updated 2 years ago
- A package for conformal prediction with conditional guarantees.☆62Updated 6 months ago
- Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control☆68Updated 9 months ago
- This repository contains PyTorch implementations of various random feature maps for dot product kernels.☆21Updated last year
- This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…☆129Updated 3 years ago
- Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks☆10Updated 2 years ago
- Influence Estimation for Gradient-Boosted Decision Trees☆30Updated last year
- A statistical toolkit for scientific discovery using machine learning☆80Updated last year
- Training and evaluating NBM and SPAM for interpretable machine learning.☆78Updated 2 years ago
- ☆15Updated last year
- For calculating Shapley values via linear regression.☆70Updated 4 years ago
- Unofficial implementation of Conformal Language Modeling by Quach et al☆29Updated 2 years ago
- ☆14Updated 2 years ago
- ☆56Updated 4 months ago
- The official implementation of PFNs4BO: In-Context Learning for Bayesian Optimization☆32Updated last year
- Conditional calibration of conformal p-values for outlier detection.☆36Updated 2 years ago
- ☆15Updated 2 years ago
- Public code for running Stochastic Gradient Descent on GPs.☆39Updated 4 months ago
- A package for statistically rigorous scientific discovery using machine learning. Implements prediction-powered inference.☆255Updated 3 months ago
- Wrap around any model to output differentially private prediction sets with finite sample validity on any dataset.☆18Updated last year
- A Python package for intrinsic dimension estimation☆92Updated 4 months ago
- Conformal Histogram Regression: efficient conformity scores for non-parametric regression problems☆22Updated 3 years ago
- "How to Trust Your Diffusion Models: A Convex Optimization Approach to Conformal Risk Control"☆18Updated 2 months ago
- Official codebase for "Distribution-Free, Risk-Controlling Prediction Sets"☆85Updated last year
- Large-scale uncertainty benchmark in deep learning.☆62Updated 3 months ago
- ☆14Updated 3 years ago
- Extending Conformal Prediction to LLMs☆67Updated last year
- Materials for STAT 991: Topics In Modern Statistical Learning (UPenn, 2022 Spring) - uncertainty quantification, conformal prediction, ca…☆176Updated last year
- Treeffuser is an easy-to-use package for probabilistic prediction and probabilistic regression on tabular data with tree-based diffusion …☆49Updated last month