Sulam-Group / k-rcpsLinks
"How to Trust Your Diffusion Models: A Convex Optimization Approach to Conformal Risk Control"
☆17Updated last month
Alternatives and similar repositories for k-rcps
Users that are interested in k-rcps are comparing it to the libraries listed below
Sorting:
- Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks☆10Updated 2 years ago
- Implementation of Action Matching for the Schrödinger equation☆24Updated 2 years ago
- SSCP: Improving Adaptive Conformal Prediction Using Self-supervised Learning (AISTATS 2023)☆17Updated 2 years ago
- Code for multistep feedback covariate shift conformal prediction experiments in "Conformal Validity Guarantees Exist for Any Data Distrib…☆27Updated last year
- NeurIPS'23: Energy Discrepancies: A Score-Independent Loss for Energy-Based Models☆16Updated 8 months ago
- Code that accompanies the paper Guided Deep Kernel Learning☆10Updated 2 years ago
- ☆15Updated last year
- Public code for running Stochastic Gradient Descent on GPs.☆39Updated 2 months ago
- Code for "Improving Expert Predictions with Conformal Prediction" , ICML 2023☆12Updated 10 months ago
- Implementations of Normalizing Flows in Pytorch/Pyro☆19Updated 5 years ago
- ☆22Updated last year
- [NeurIPS 2020] Task-Agnostic Amortized Inference of Gaussian Process Hyperparameters (AHGP)☆22Updated 4 years ago
- ☆34Updated 3 months ago
- ☆48Updated 5 months ago
- A package for conformal prediction with conditional guarantees.☆60Updated 4 months ago
- Bayesian optimization with conformal coverage guarantees☆28Updated 2 years ago
- Laplace Redux -- Effortless Bayesian Deep Learning☆42Updated last month
- Conformal prediction for controlling monotonic risk functions. Simple accompanying PyTorch code for conformal risk control in computer vi…☆67Updated 2 years ago
- Normalizing Flows with a resampled base distribution☆47Updated 2 years ago
- All the material needed to use MC-CP and the Adaptive MC Dropout method☆24Updated last month
- Official implementation of Deep Momentum Schrödinger Bridge☆27Updated last year
- On Uncertainty, Tempering, and Data Augmentation in Bayesian Classification☆21Updated 3 years ago
- Official Implementation of the paper: "A Rate-Distorion View of Uncertainty Quantification", ICML 2024☆28Updated 10 months ago
- Treeffuser is an easy-to-use package for probabilistic prediction and probabilistic regression on tabular data with tree-based diffusion …☆44Updated last month
- Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling☆36Updated 3 years ago
- Implementation of Action Matching☆44Updated 2 years ago
- ☆52Updated 2 years ago
- Demos for the paper Generalized Variational Inference (Knoblauch, Jewson & Damoulas, 2019)☆20Updated 6 years ago
- Collecting research materials on neural samplers with diffusion/flow models☆53Updated this week
- Automatic Integration for Neural Spatio-Temporal Point Process models (AI-STPP) is a new paradigm for exact, efficient, non-parametric inf…☆24Updated 8 months ago