samuelstanton / conformal-bayesoptLinks
Bayesian optimization with conformal coverage guarantees
☆28Updated 2 years ago
Alternatives and similar repositories for conformal-bayesopt
Users that are interested in conformal-bayesopt are comparing it to the libraries listed below
Sorting:
- ☆31Updated 2 years ago
- A library for uncertainty quantification based on PyTorch☆121Updated 3 years ago
- Various code/notebooks to benchmark different ways we could estimate uncertainty in ML predictions.☆42Updated 4 years ago
- Heteroscedastic Bayesian Optimisation in Numpy☆21Updated 2 years ago
- Bayesian Optimisation for String Spaces☆24Updated 3 years ago
- Adaptive and Reliable Classification: efficient conformity scores for multi-class classification problems☆31Updated 2 years ago
- Repository for paper: "SnAKe: Bayesian Optimization with Pathwise Exploration".☆17Updated last year
- Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks☆10Updated 2 years ago
- Supplementary code for the AISTATS 2021 paper "Matern Gaussian Processes on Graphs".☆53Updated 5 months ago
- Conformal Histogram Regression: efficient conformity scores for non-parametric regression problems☆22Updated 3 years ago
- ☆15Updated last year
- Laplace Redux -- Effortless Bayesian Deep Learning☆42Updated last month
- ☆22Updated last year
- Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization☆73Updated 2 years ago
- Python implementation for Combining Latent Space and Structured Kernels for Bayesian Optimization over Combinatorial Spaces.☆13Updated 3 years ago
- Bayesian Neural Network Surrogates for Bayesian Optimization☆53Updated last year
- Vector Quantile Regression☆20Updated 3 months ago
- A statistical toolkit for scientific discovery using machine learning☆78Updated last year
- Bayesian algorithm execution (BAX)☆49Updated 3 years ago
- ☆14Updated 2 years ago
- Deep Batch Active Learning for Regression☆68Updated 9 months ago
- Library for Bayesian Quadrature☆32Updated 6 years ago
- GeneDisco is a benchmark suite for evaluating active learning algorithms for experimental design in drug discovery.☆38Updated 2 years ago
- Multi-Objective Bayesian Optimization over High-Dimensional Search Spaces☆58Updated 2 years ago
- Adaptive Conformal Prediction Intervals (ACPI) is a Python package that enhances the Predictive Intervals provided by the split conformal…☆29Updated 2 years ago
- Code to reproduce experiments in "Accelerating Bayesian Optimization for Protein Design with Denoising Autoencoders" (Stanton et al 2022)☆71Updated last year
- Differentiable Euler Characteristic Transform☆17Updated last year
- Eastern European Machine Learning Summer School (EEML) Workshop Series 2022. Tutorial on Causality for the Serbian Machine Learning Works…☆22Updated 3 years ago
- Neat Bayesian machine learning examples☆58Updated last month
- "How to Trust Your Diffusion Models: A Convex Optimization Approach to Conformal Risk Control"☆18Updated last month