ProgBelarus / MultiValidPrediction
☆14Updated 2 years ago
Alternatives and similar repositories for MultiValidPrediction:
Users that are interested in MultiValidPrediction are comparing it to the libraries listed below
- ☆12Updated 2 years ago
- Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control☆65Updated 2 months ago
- Conformal Histogram Regression: efficient conformity scores for non-parametric regression problems☆21Updated 2 years ago
- Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning (AISTATS 2022 Oral)☆40Updated 2 years ago
- A package for conformal prediction with conditional guarantees.☆49Updated 6 months ago
- Adaptive and Reliable Classification: efficient conformity scores for multi-class classification problems☆31Updated last year
- Wrap around any model to output differentially private prediction sets with finite sample validity on any dataset.☆17Updated 10 months ago
- ☆28Updated 3 years ago
- Conformal prediction for controlling monotonic risk functions. Simple accompanying PyTorch code for conformal risk control in computer vi…☆60Updated last year
- ☆10Updated 2 years ago
- Code to reproduce our paper on probabilistic algorithmic recourse: https://arxiv.org/abs/2006.06831☆36Updated 2 years ago
- Conditional calibration of conformal p-values for outlier detection.☆34Updated 2 years ago
- Efficient Computation and Analysis of Distributional Shapley Values (AISTATS 2021)☆21Updated last year
- Repository for the NeurIPS 2023 paper "Beyond Confidence: Reliable Models Should Also Consider Atypicality"☆12Updated 8 months ago
- Materials for the course Principles of AI: LLMs at UPenn (Stat 9911, Spring 2025). LLM architectures, training paradigms (pre- and post-t…☆18Updated this week
- ModelDiff: A Framework for Comparing Learning Algorithms☆54Updated last year
- ☆21Updated 2 years ago
- Achieve error-rate fairness between societal groups for any score-based classifier.☆15Updated 8 months ago
- Dynamic causal Bayesian optimisation☆35Updated last year
- Implementations of methods proposed in the paper "Conformal Prediction Sets for Graph Neural Networks"☆13Updated last year
- Code to reproduce the experimental results from the paper "Active Invariant Causal Prediction: Experiment Selection Through Stability", b…☆19Updated last year
- Amortized Inference for Causal Structure Learning, NeurIPS 2022☆61Updated 2 weeks ago
- Influence Estimation for Gradient-Boosted Decision Trees☆26Updated 7 months ago
- A lightweight implementation of removal-based explanations for ML models.☆57Updated 3 years ago
- ☆30Updated 2 years ago
- For calculating Shapley values via linear regression.☆66Updated 3 years ago
- Code related to different aspects of conformal learning☆15Updated last year
- ☆22Updated 5 years ago
- Official codebase for "Distribution-Free, Risk-Controlling Prediction Sets"☆87Updated 11 months ago
- Tilted Empirical Risk Minimization (ICLR '21)☆59Updated last year