Shai128 / mqr
Multiple-Output Quantile Regression
☆14Updated 3 years ago
Alternatives and similar repositories for mqr
Users that are interested in mqr are comparing it to the libraries listed below
Sorting:
- Training quantile models☆43Updated 5 months ago
- Vector Quantile Regression☆19Updated last month
- SSCP: Improving Adaptive Conformal Prediction Using Self-supervised Learning (AISTATS 2023)☆17Updated 2 years ago
- A package for conformal prediction with conditional guarantees.☆55Updated 2 months ago
- Conditional calibration of conformal p-values for outlier detection.☆34Updated 2 years ago
- Conformal Histogram Regression: efficient conformity scores for non-parametric regression problems☆22Updated 3 years ago
- A tutorial for the 2018 paper Accurate Uncertainties for Deep Learning Using Calibrated Regression by Kuleshov et al.☆50Updated 5 years ago
- Implementation for Stankevičiūtė et al. "Conformal time-series forecasting", NeurIPS 2021.☆74Updated 6 months ago
- Example code of Sparse Gaussian Process Attention (ICLR 2023)☆24Updated 10 months ago
- ☆25Updated last year
- Code for the paper "Bayesian Neural Network Priors Revisited"☆58Updated 3 years ago
- Code for "NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning"☆46Updated 2 years ago
- Demos for the paper Generalized Variational Inference (Knoblauch, Jewson & Damoulas, 2019)☆20Updated 6 years ago
- Orthogonal Quantile Regression☆11Updated 3 years ago
- ☆22Updated last year
- Improving predictions of Bayesian neural nets via local linearization, AISTATS 2021☆17Updated 2 years ago
- Official code for the ICLR 2021 paper Neural ODE Processes☆72Updated 3 years ago
- Adaptive and Reliable Classification: efficient conformity scores for multi-class classification problems☆31Updated 2 years ago
- Light-weighted code for Orthogonal Additive Gaussian Processes☆42Updated 9 months ago
- Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control☆66Updated 5 months ago
- Code that accompanies the paper Guided Deep Kernel Learning☆10Updated last year
- Code for paper "Copula-based conformal prediction for Multi-Target Regression"☆33Updated 4 years ago
- Official code for: Conformal prediction interval for dynamic time-series (conference, ICML 21 Long Presentation) AND Conformal prediction…☆116Updated last year
- ☆61Updated 3 years ago
- ☆23Updated 3 years ago
- Bayesian active learning with EPIG data acquisition☆31Updated 3 weeks ago
- Implementation of the MIWAE method for deep generative modelling of incomplete data sets.☆38Updated last year
- Contains the code to run the different models considered in the paper "Valid prediction intervals for regression problems"☆19Updated 2 years ago
- ☆51Updated 9 months ago
- Adaptive Conformal Prediction Intervals (ACPI) is a Python package that enhances the Predictive Intervals provided by the split conformal…☆28Updated 2 years ago