jjbrophy47 / tree_influenceLinks
Influence Estimation for Gradient-Boosted Decision Trees
☆29Updated last year
Alternatives and similar repositories for tree_influence
Users that are interested in tree_influence are comparing it to the libraries listed below
Sorting:
- Conformal Histogram Regression: efficient conformity scores for non-parametric regression problems☆24Updated 3 years ago
- Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning (AISTATS 2022 Oral)☆43Updated 3 years ago
- Multiple Generalized Additive Models implemented in Python (EBM, XGB, Spline, FLAM). Code for our KDD 2021 paper "How Interpretable and T…☆13Updated 4 years ago
- ☆10Updated 3 years ago
- Conformal prediction for controlling monotonic risk functions. Simple accompanying PyTorch code for conformal risk control in computer vi…☆74Updated 3 years ago
- This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…☆129Updated 3 years ago
- For calculating Shapley values via linear regression.☆73Updated 4 years ago
- ModelDiff: A Framework for Comparing Learning Algorithms☆58Updated 2 years ago
- Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control☆72Updated last year
- A package for conformal prediction with conditional guarantees.☆67Updated 4 months ago
- A lightweight implementation of removal-based explanations for ML models.☆59Updated 4 years ago
- Unofficial implementation of Conformal Language Modeling by Quach et al☆29Updated 2 years ago
- Neural Additive Models (Google Research)☆74Updated 4 years ago
- Repository for Beyond Pinball Loss: Quantile Methods for Calibrated Uncertainty Quantification (NeurIPS 2024)☆44Updated last year
- Laplace Redux -- Effortless Bayesian Deep Learning☆44Updated 8 months ago
- Efficient Computation and Analysis of Distributional Shapley Values (AISTATS 2021)☆22Updated 2 years ago
- Training and evaluating NBM and SPAM for interpretable machine learning.☆78Updated 2 years ago
- MDL Complexity computations and experiments from the paper "Revisiting complexity and the bias-variance tradeoff".☆18Updated 2 years ago
- Official codebase for "Distribution-Free, Risk-Controlling Prediction Sets"☆88Updated 2 years ago
- Extending Conformal Prediction to LLMs☆69Updated last year
- Code for "NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning"☆48Updated 3 years ago
- XAI-Bench is a library for benchmarking feature attribution explainability techniques☆70Updated 3 years ago
- Adaptive and Reliable Classification: efficient conformity scores for multi-class classification problems☆33Updated 3 years ago
- Repository for the NeurIPS 2023 paper "Beyond Confidence: Reliable Models Should Also Consider Atypicality"☆13Updated last year
- csl: PyTorch-based Constrained Learning☆12Updated 3 years ago
- Testing Language Models for Memorization of Tabular Datasets.☆36Updated 11 months ago
- Code for Accelerated Linearized Laplace Approximation for Bayesian Deep Learning (ELLA, NeurIPS 22')☆17Updated 3 years ago
- pyDVL is a library of stable implementations of algorithms for data valuation and influence function computation☆142Updated 3 weeks ago
- Code for the paper "Rethinking Importance Weighting for Deep Learning under Distribution Shift".☆30Updated 4 years ago
- ☆38Updated 2 years ago