Sulam-Group / k-rcpsLinks
"How to Trust Your Diffusion Models: A Convex Optimization Approach to Conformal Risk Control"
☆17Updated 3 weeks ago
Alternatives and similar repositories for k-rcps
Users that are interested in k-rcps are comparing it to the libraries listed below
Sorting:
- Implementation of Action Matching for the Schrödinger equation☆24Updated 2 years ago
- Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks☆10Updated 2 years ago
- ☆15Updated last year
- SSCP: Improving Adaptive Conformal Prediction Using Self-supervised Learning (AISTATS 2023)☆17Updated 2 years ago
- [NeurIPS 2020] Task-Agnostic Amortized Inference of Gaussian Process Hyperparameters (AHGP)☆22Updated 4 years ago
- Vector Quantile Regression☆20Updated 2 months ago
- Code for "Improving Expert Predictions with Conformal Prediction" , ICML 2023☆12Updated 10 months ago
- Code for multistep feedback covariate shift conformal prediction experiments in "Conformal Validity Guarantees Exist for Any Data Distrib…☆27Updated 11 months ago
- ☆22Updated last year
- Official Implementation of the paper: "A Rate-Distorion View of Uncertainty Quantification", ICML 2024☆28Updated 9 months ago
- Implementations of Normalizing Flows in Pytorch/Pyro☆19Updated 5 years ago
- Public code for running Stochastic Gradient Descent on GPs.☆38Updated 2 months ago
- ☆48Updated 5 months ago
- Quantification of Uncertainty with Adversarial Models☆29Updated last year
- Demos for the paper Generalized Variational Inference (Knoblauch, Jewson & Damoulas, 2019)☆20Updated 6 years ago
- Normalizing Flows with a resampled base distribution☆47Updated 2 years ago
- Bayesian optimization with conformal coverage guarantees☆28Updated 2 years ago
- Code that accompanies the paper Guided Deep Kernel Learning☆10Updated last year
- Implementation of Action Matching☆44Updated 2 years ago
- Official implementation of Deep Momentum Schrödinger Bridge☆26Updated last year
- Fully Bayesian Inference in GPs - Gaussian and Generic Likelihoods☆22Updated last year
- ☆16Updated 9 months ago
- NeurIPS'23: Energy Discrepancies: A Score-Independent Loss for Energy-Based Models☆16Updated 8 months ago
- ☆31Updated 2 years ago
- ☆13Updated 2 years ago
- Conformal prediction for controlling monotonic risk functions. Simple accompanying PyTorch code for conformal risk control in computer vi…☆67Updated 2 years ago
- An implementation of squared neural families in PyTorch☆14Updated 8 months ago
- ☆52Updated 2 years ago
- Treeffuser is an easy-to-use package for probabilistic prediction and probabilistic regression on tabular data with tree-based diffusion …☆44Updated last month
- Laplace Redux -- Effortless Bayesian Deep Learning☆42Updated 2 weeks ago