marharyta-aleksandrova / conformal-learningLinks
Code related to different aspects of conformal learning
☆17Updated 8 months ago
Alternatives and similar repositories for conformal-learning
Users that are interested in conformal-learning are comparing it to the libraries listed below
Sorting:
- This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…☆129Updated 3 years ago
- Conformal prediction for controlling monotonic risk functions. Simple accompanying PyTorch code for conformal risk control in computer vi…☆70Updated 2 years ago
- A statistical toolkit for scientific discovery using machine learning☆80Updated last year
- Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control☆70Updated 10 months ago
- A library for uncertainty quantification based on PyTorch☆122Updated 3 years ago
- Neat Bayesian machine learning examples☆58Updated 2 weeks ago
- Official implementation of the paper "Interventions, Where and How? Experimental Design for Causal Models at Scale", NeurIPS 2022.☆20Updated 2 years ago
- A package for conformal prediction with conditional guarantees.☆66Updated this week
- ☆14Updated 3 years ago
- Quantification of Uncertainty with Adversarial Models☆29Updated 2 years ago
- Official codebase for "Distribution-Free, Risk-Controlling Prediction Sets"☆85Updated last year
- Code for multistep feedback covariate shift conformal prediction experiments in "Conformal Validity Guarantees Exist for Any Data Distrib…☆27Updated last year
- Materials for STAT 991: Topics In Modern Statistical Learning (UPenn, 2022 Spring) - uncertainty quantification, conformal prediction, ca…☆176Updated last year
- Unofficial implementation of Conformal Language Modeling by Quach et al☆29Updated 2 years ago
- Recursive Bayesian Estimation (Sequential / Online Inference)☆59Updated last year
- Cross-prediction-powered inference☆15Updated last year
- Automatic Integration for Neural Spatio-Temporal Point Process models (AI-STPP) is a new paradigm for exact, efficient, non-parametric inf…☆25Updated 11 months ago
- Adaptive and Reliable Classification: efficient conformity scores for multi-class classification problems☆32Updated 2 years ago
- Bayesianize: A Bayesian neural network wrapper in pytorch☆89Updated last year
- Extending Conformal Prediction to LLMs☆68Updated last year
- ☆14Updated 3 years ago
- Materials of the Nordic Probabilistic AI School 2023.☆90Updated 2 years ago
- Conformal Histogram Regression: efficient conformity scores for non-parametric regression problems☆22Updated 3 years ago
- Bayesian Bandits☆68Updated 2 years ago
- ☆17Updated 6 months ago
- Eastern European Machine Learning Summer School (EEML) Workshop Series 2022. Tutorial on Causality for the Serbian Machine Learning Works…☆22Updated 3 years ago
- Bayesian optimization with conformal coverage guarantees☆28Updated 2 years ago
- Generating and Imputing Tabular Data via Diffusion and Flow XGBoost Models☆166Updated last year
- Contains the code to run the different models considered in the paper "Valid prediction intervals for regression problems"☆20Updated 2 years ago
- ☆48Updated 8 months ago