ProgBelarus / MultiValidPredictionLinks
☆14Updated 3 years ago
Alternatives and similar repositories for MultiValidPrediction
Users that are interested in MultiValidPrediction are comparing it to the libraries listed below
Sorting:
- ☆15Updated 3 years ago
- Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control☆70Updated last year
- Adaptive and Reliable Classification: efficient conformity scores for multi-class classification problems☆33Updated 2 years ago
- Conformal Histogram Regression: efficient conformity scores for non-parametric regression problems☆23Updated 3 years ago
- A package for conformal prediction with conditional guarantees.☆67Updated last month
- Official repository of the paper "Efficient Neural Causal Discovery without Acyclicity Constraints"☆86Updated last year
- Conditional calibration of conformal p-values for outlier detection.☆36Updated 3 years ago
- Code to reproduce our paper on probabilistic algorithmic recourse: https://arxiv.org/abs/2006.06831☆37Updated 2 years ago
- Materials for STAT 991: Topics In Modern Statistical Learning (UPenn, 2022 Spring) - uncertainty quantification, conformal prediction, ca…☆176Updated last year
- Official codebase for "Distribution-Free, Risk-Controlling Prediction Sets"☆87Updated last year
- Conformal prediction for controlling monotonic risk functions. Simple accompanying PyTorch code for conformal risk control in computer vi…☆72Updated 2 years ago
- For calculating Shapley values via linear regression.☆71Updated 4 years ago
- Amortized Inference for Causal Structure Learning, NeurIPS 2022☆68Updated 9 months ago
- A lightweight implementation of removal-based explanations for ML models.☆59Updated 4 years ago
- Code for the Causal Bayesian Optimization algorithm (http://proceedings.mlr.press/v108/aglietti20a/aglietti20a.pdf)☆32Updated 5 years ago
- Bayesian optimization with conformal coverage guarantees☆28Updated 3 years ago
- Repository for the NeurIPS 2023 paper "Beyond Confidence: Reliable Models Should Also Consider Atypicality"☆13Updated last year
- A collection of algorithms of counterfactual explanations.☆52Updated 4 years ago
- Laplace Redux -- Effortless Bayesian Deep Learning☆44Updated 5 months ago
- Wrap around any model to output differentially private prediction sets with finite sample validity on any dataset.☆18Updated last year
- Code for the paper "Bayesian Neural Network Priors Revisited"☆58Updated 4 years ago
- Distributional and Outlier Robust Optimization (ICML 2021)☆28Updated 4 years ago
- ☆32Updated 3 years ago
- Modern Gaussian Processes: Scalable Inference and Novel Applications☆20Updated 6 years ago
- ☆10Updated 3 years ago
- Repository for Beyond Pinball Loss: Quantile Methods for Calibrated Uncertainty Quantification (NeurIPS 2024)☆44Updated 11 months ago
- Eastern European Machine Learning Summer School (EEML) Workshop Series 2022. Tutorial on Causality for the Serbian Machine Learning Works…☆21Updated 3 years ago
- ☆32Updated 7 years ago
- This repository captures source code and data sets for our paper at the Causal Discovery & Causality-Inspired Machine Learning Workshop a…☆62Updated last year
- Materials for the course Principles of AI: LLMs at UPenn (Stat 9911, Spring 2025). LLM architectures, training paradigms (pre- and post-t…☆43Updated 5 months ago