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:
- ☆29Updated 2 years ago
- Repository for paper: "SnAKe: Bayesian Optimization with Pathwise Exploration".☆17Updated last year
- Various code/notebooks to benchmark different ways we could estimate uncertainty in ML predictions.☆42Updated 4 years ago
- A library for uncertainty quantification based on PyTorch☆121Updated 3 years ago
- Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks☆10Updated 2 years ago
- Conformal Histogram Regression: efficient conformity scores for non-parametric regression problems☆22Updated 3 years ago
- Bayesian Optimisation for String Spaces☆24Updated 3 years ago
- Python implementation for Combining Latent Space and Structured Kernels for Bayesian Optimization over Combinatorial Spaces.☆13Updated 3 years ago
- Adaptive and Reliable Classification: efficient conformity scores for multi-class classification problems☆31Updated 2 years ago
- Heteroscedastic Bayesian Optimisation in Numpy☆21Updated 2 years ago
- "Oblique Decision Trees from Derivatives of ReLU Networks" (ICLR 2020, previously called "Locally Constant Networks")☆22Updated 4 years ago
- ☆15Updated last year
- Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization☆73Updated 2 years ago
- Code to reproduce experiments in "Accelerating Bayesian Optimization for Protein Design with Denoising Autoencoders" (Stanton et al 2022)☆71Updated 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
- ☆22Updated last year
- Deep Batch Active Learning for Regression☆68Updated 10 months 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
- GeneDisco is a benchmark suite for evaluating active learning algorithms for experimental design in drug discovery.☆38Updated 2 years ago
- The official implementation of PFNs4BO: In-Context Learning for Bayesian Optimization☆32Updated last year
- Supplementary code for the AISTATS 2021 paper "Matern Gaussian Processes on Graphs".☆53Updated 6 months ago
- "How to Trust Your Diffusion Models: A Convex Optimization Approach to Conformal Risk Control"☆18Updated 2 months ago
- Vector Quantile Regression☆19Updated 4 months ago
- A statistical toolkit for scientific discovery using machine learning☆80Updated last year
- Laplace Redux -- Effortless Bayesian Deep Learning☆42Updated 2 months ago
- Conformal prediction for controlling monotonic risk functions. Simple accompanying PyTorch code for conformal risk control in computer vi…☆67Updated 2 years ago
- Public code for running Stochastic Gradient Descent on GPs.☆39Updated 3 months ago
- Code for multistep feedback covariate shift conformal prediction experiments in "Conformal Validity Guarantees Exist for Any Data Distrib…☆27Updated last year
- Bayesian algorithm execution (BAX)☆50Updated 3 years ago