tijana-zrnic / cross-ppiLinks
Cross-prediction-powered inference
☆15Updated last year
Alternatives and similar repositories for cross-ppi
Users that are interested in cross-ppi are comparing it to the libraries listed below
Sorting:
- ☆17Updated 5 months ago
- ☆15Updated 3 years ago
- Public code for running Stochastic Gradient Descent on GPs.☆39Updated 4 months ago
- Unofficial implementation of Conformal Language Modeling by Quach et al☆29Updated 2 years ago
- Neat Bayesian machine learning examples☆58Updated 2 months ago
- Lectures on Quantitative Economics Using JAX☆45Updated 2 weeks ago
- Active multi-fidelity Bayesian online changepoint detection.☆17Updated 4 years ago
- ☆11Updated last year
- ☆48Updated 8 months ago
- Official implementation of "Conformal prediction for multi-dimensional time series by ellipsoidal sets" (ICML 2024 spotlight)☆18Updated last year
- ☆14Updated 6 months ago
- Code related to different aspects of conformal learning☆16Updated 7 months ago
- A Python package for generating concise, high-quality summaries of a probability distribution☆53Updated 2 weeks ago
- Convert CVXPY expressions to PyTorch expressions☆17Updated 2 months ago
- Visualize neural networks using TikZ in Julia☆15Updated 7 months ago
- A Library for Scaling Mixed-Integer Optimization-Based Machine Learning.☆12Updated last year
- ☆15Updated last year
- Conformal prediction for controlling monotonic risk functions. Simple accompanying PyTorch code for conformal risk control in computer vi…☆67Updated 2 years ago
- A basic implementation of the paper Eigengame : PCA as a Nash Equilibrium☆21Updated 4 years ago
- "How to Trust Your Diffusion Models: A Convex Optimization Approach to Conformal Risk Control"☆18Updated 3 months ago
- You should use PySR to find scaling laws. Here's an example.☆33Updated last year
- Code for the AISTATS 2024 Paper "From Data Imputation to Data Cleaning - Automated Cleaning of Tabular Data Improves Downstream Predictiv…☆24Updated last year
- Automatic Integration for Neural Spatio-Temporal Point Process models (AI-STPP) is a new paradigm for exact, efficient, non-parametric inf…☆25Updated 11 months ago
- ☆14Updated 2 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
- [NeurIPS 2020] Task-Agnostic Amortized Inference of Gaussian Process Hyperparameters (AHGP)☆22Updated 4 years ago
- A package for conformal prediction with conditional guarantees.☆62Updated 6 months ago
- Recursive Bayesian Estimation (Sequential / Online Inference)☆59Updated last year
- Conditional calibration of conformal p-values for outlier detection.☆36Updated 2 years ago
- Quantification of Uncertainty with Adversarial Models☆29Updated 2 years ago