jjbrophy47 / tree_influenceLinks
Influence Estimation for Gradient-Boosted Decision Trees
☆30Updated 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 prediction for controlling monotonic risk functions. Simple accompanying PyTorch code for conformal risk control in computer vi…☆67Updated 2 years ago
- Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning (AISTATS 2022 Oral)☆41Updated 2 years ago
- For calculating Shapley values via linear regression.☆70Updated 4 years ago
- Conformal Histogram Regression: efficient conformity scores for non-parametric regression problems☆22Updated 3 years ago
- Training and evaluating NBM and SPAM for interpretable machine learning.☆78Updated 2 years ago
- Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control☆68Updated 9 months ago
- This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…☆129Updated 3 years ago
- ☆10Updated 3 years ago
- Inference code for "TabDPT: Scaling Tabular Foundation Models on Real Data"☆55Updated this week
- Unofficial implementation of Conformal Language Modeling by Quach et al☆29Updated 2 years ago
- Neural Additive Models (Google Research)☆71Updated 3 years ago
- Testing Language Models for Memorization of Tabular Datasets.☆34Updated 6 months ago
- ModelDiff: A Framework for Comparing Learning Algorithms☆59Updated 2 years ago
- Laplace Redux -- Effortless Bayesian Deep Learning☆42Updated 2 months ago
- Efficient Computation and Analysis of Distributional Shapley Values (AISTATS 2021)☆22Updated last year
- MDL Complexity computations and experiments from the paper "Revisiting complexity and the bias-variance tradeoff".☆18Updated 2 years ago
- Uncertainty-aware classification.☆17Updated 3 years ago
- Official codebase for "Distribution-Free, Risk-Controlling Prediction Sets"☆85Updated last year
- Extending Conformal Prediction to LLMs☆67Updated last year
- Repository for Beyond Pinball Loss: Quantile Methods for Calibrated Uncertainty Quantification (NeurIPS 2024)☆43Updated 9 months ago
- XAI-Bench is a library for benchmarking feature attribution explainability techniques☆69Updated 2 years ago
- (ICLR 2025 Spotlight) TabReD: Analyzing Pitfalls and Filling the Gaps in Tabular Deep Learning Benchmarks☆77Updated 2 months ago
- Amortized Inference for Causal Structure Learning, NeurIPS 2022☆65Updated 6 months ago
- ☆37Updated 4 years ago
- A lightweight implementation of removal-based explanations for ML models.☆58Updated 4 years ago
- Official repository of the paper "Efficient Neural Causal Discovery without Acyclicity Constraints"☆84Updated last year
- Multiple Generalized Additive Models implemented in Python (EBM, XGB, Spline, FLAM). Code for our KDD 2021 paper "How Interpretable and T…☆12Updated 4 years ago
- Wrap around any model to output differentially private prediction sets with finite sample validity on any dataset.☆18Updated last year
- A collection of algorithms of counterfactual explanations.☆50Updated 4 years ago
- A package for conformal prediction with conditional guarantees.☆62Updated 6 months ago