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:
- Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control☆71Updated last year
- ☆10Updated 3 years ago
- Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning (AISTATS 2022 Oral)☆42Updated 3 years ago
- Conformal Histogram Regression: efficient conformity scores for non-parametric regression problems☆23Updated 3 years ago
- Inference code for "TabDPT: Scaling Tabular Foundation Models on Real Data"☆62Updated last month
- 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
- Training and evaluating NBM and SPAM for interpretable machine learning.☆78Updated 2 years ago
- Official codebase for "Distribution-Free, Risk-Controlling Prediction Sets"☆87Updated last year
- Official repository of the paper "Efficient Neural Causal Discovery without Acyclicity Constraints"☆88Updated last year
- Code for Accelerated Linearized Laplace Approximation for Bayesian Deep Learning (ELLA, NeurIPS 22')☆16Updated 3 years ago
- This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…☆130Updated 3 years ago
- Laplace Redux -- Effortless Bayesian Deep Learning☆44Updated 6 months ago
- Extending Conformal Prediction to LLMs☆68Updated last year
- ModelDiff: A Framework for Comparing Learning Algorithms☆58Updated 2 years ago
- Code for Knowledge-Adaptation Priors based on the NeurIPS 2021 paper by Khan and Swaroop.☆16Updated 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
- Uncertainty-aware classification.☆17Updated 3 years ago
- Testing Language Models for Memorization of Tabular Datasets.☆36Updated 9 months ago
- csl: PyTorch-based Constrained Learning☆12Updated 3 years ago
- XAI-Bench is a library for benchmarking feature attribution explainability techniques☆70Updated 2 years ago
- MDL Complexity computations and experiments from the paper "Revisiting complexity and the bias-variance tradeoff".☆18Updated 2 years ago
- ☆37Updated 2 years ago
- Amortized Inference for Causal Structure Learning, NeurIPS 2022☆68Updated 9 months ago
- Wrap around any model to output differentially private prediction sets with finite sample validity on any dataset.☆18Updated last year
- Repository for Beyond Pinball Loss: Quantile Methods for Calibrated Uncertainty Quantification (NeurIPS 2024)☆44Updated last year
- Official repository for the paper "Zero-Shot AutoML with Pretrained Models"☆48Updated last year
- ☆63Updated 3 years ago
- Neural Additive Models (Google Research)☆73Updated 4 years ago
- pyDVL is a library of stable implementations of algorithms for data valuation and influence function computation☆140Updated 2 months ago