samuelstanton / conformal-bayesopt

Related projects: ⓘ

• clarafy / conformal-for-design
  ☆29Updated last year
• msesia / chr
  Conformal Histogram Regression: efficient conformity scores for non-parametric regression problems
  ☆20Updated 2 years ago
• msesia / arc
  Adaptive and Reliable Classification: efficient conformity scores for multi-class classification problems
  ☆31Updated last year
• vistalab-technion / vqr
  Vector Quantile Regression
  ☆19Updated last year
• runame / laplace-refinement
  Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks
  ☆9Updated last year
• runame / laplace-redux
  Laplace Redux -- Effortless Bayesian Deep Learning
  ☆35Updated last year
• Ryan-Rhys / Heteroscedastic-BO
  Heteroscedastic Bayesian Optimisation in Numpy
  ☆21Updated last year
• blei-lab / treeffuser
  Treeffuser is an easy-to-use package for probabilistic prediction on tabular data with tree-based diffusion models.
  ☆11Updated last month
• ulissigroup / uncertainty_benchmarking
  Various code/notebooks to benchmark different ways we could estimate uncertainty in ML predictions.
  ☆39Updated 3 years ago
• vr308 / Generalised-Gaussian-Processes
  Fully Bayesian Inference in GPs - Gaussian and Generic Likelihoods
  ☆21Updated 11 months ago
• henrymoss / BOSS
  Bayesian Optimisation for String Spaces
  ☆23Updated 2 years ago
• yucenli / bnn-bo
  Bayesian Neural Network Surrogates for Bayesian Optimization
  ☆45Updated 4 months ago
• aryandeshwal / LADDER
  Python implementation for Combining Latent Space and Structured Kernels for Bayesian Optimization over Combinatorial Spaces.
  ☆13Updated 2 years ago
• PrincetonLIPS / AHGP
  [NeurIPS 2020] Task-Agnostic Amortized Inference of Gaussian Process Hyperparameters (AHGP)
  ☆20Updated 3 years ago
• cog-imperial / SnAKe
  Repository for paper: "SnAKe: Bayesian Optimization with Pathwise Exploration".
  ☆15Updated 7 months ago
• guanghelee / iclr20-locally-constant-nets
  "Oblique Decision Trees from Derivatives of ReLU Networks" (ICLR 2020, previously called "Locally Constant Networks")
  ☆21Updated 3 years ago
• Sulam-Group / k-rcps
  "How to Trust Your Diffusion Models: A Convex Optimization Approach to Conformal Risk Control"
  ☆16Updated 11 months ago
• siboehm / NormalizingFlowNetwork
  Bayesian and Maximum Likelihood Implementation of the Normalizing Flow Network (NFN): https://arxiv.org/abs/1907.08982
  ☆21Updated 3 years ago
• ahmedmalaa / evaluating-generative-models
  ☆16Updated last year
• LaurenceA / bayesfunc
  ☆15Updated 2 years ago
• marharyta-aleksandrova / conformal-learning
  Code related to different aspects of conformal learning
  ☆15Updated 11 months ago
• spbu-math-cs / Graph-Gaussian-Processes
  Supplementary code for the AISTATS 2021 paper "Matern Gaussian Processes on Graphs".
  ☆51Updated 2 months ago
• mfinzi / olive-oil-ml
  ☆14Updated last year
• automl / PFNs4BO
  The official implementation of PFNs4BO: In-Context Learning for Bayesian Optimization
  ☆22Updated 6 months ago
• Srceh / DistCal
  Code for the ICML 2019 paper: Distribution Calibration for Regression
  ☆20Updated last year
• jambo6 / online-neural-cdes
  Code for: "Neural Controlled Differential Equations for Online Prediction Tasks"
  ☆36Updated last year
• gwgundersen / rflvm
  Random feature latent variable models in Python
  ☆21Updated last year
• karalets / TyXe
  Library for Bayesian Neural Networks in PyTorch (first version as published in ProbProg2020)
  ☆42Updated 2 years ago
• vr308 / GPLVM
  Implementation of GPLVM and Bayesian GPLVM in pytorch/gpytorch
  ☆15Updated 3 years ago
• WayneDW / Contour-Stochastic-Gradient-Langevin-Dynamics
  An elegant adaptive importance sampling algorithms for simulations of multi-modal distributions (NeurIPS'20)
  ☆39Updated 2 years ago