Robust initialisation of inducing points in sparse variational GP regression models.
☆34Oct 7, 2022Updated 3 years ago
Alternatives and similar repositories for RobustGP
Users that are interested in RobustGP are comparing it to the libraries listed below
Sorting:
- Gaussian Processes for Sequential Data☆19Dec 12, 2020Updated 5 years ago
- Recyclable Gaussian Processes☆11Dec 8, 2022Updated 3 years ago
- Sparse Orthogonal Variational Inference for Gaussian Processes (SOLVE-GP)☆22Jun 22, 2021Updated 4 years ago
- ☆25Jun 19, 2020Updated 5 years ago
- Collection of resources from each meetup event☆13Nov 26, 2020Updated 5 years ago
- ☆33Aug 30, 2022Updated 3 years ago
- An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.☆22Mar 31, 2021Updated 4 years ago
- Unifying sparse approximations for Gaussian process regression and classification, using Power EP☆22Oct 17, 2016Updated 9 years ago
- Modular Gaussian Processes☆16Dec 9, 2021Updated 4 years ago
- Deep GPs built on top of TensorFlow/Keras and GPflow☆128Oct 16, 2024Updated last year
- Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks☆10Oct 21, 2022Updated 3 years ago
- ☆16Dec 8, 2020Updated 5 years ago
- Deep neural networks for gravitational-wave posterior estimation☆14Oct 2, 2019Updated 6 years ago
- ☆12Jun 5, 2015Updated 10 years ago
- ☆12Mar 13, 2026Updated last week
- Code for "Exponential Family Estimation via Adversarial Dynamics Embedding" (NeurIPS 2019)☆14Nov 26, 2019Updated 6 years ago
- [NeurIPS 2019 Spotlight] High dimensional mean estimation and outlier detection in nearly-linear time.☆26Oct 11, 2019Updated 6 years ago
- Waveform model for inspiralling precessing-eccentric compact binaries☆19Oct 30, 2025Updated 4 months ago
- "Detecting Extrapolation with Local Ensembles" by David Madras, James Atwood, and Alex D'Amour☆13Sep 25, 2020Updated 5 years ago
- Self-Tuning Optimized Kalman Filtering (STOK) + DyNet simulation + connectivity metrics☆13May 10, 2021Updated 4 years ago
- Regression analysis using python and scikit learn - Communities and Crime Data Set (UCI).☆10Jul 14, 2018Updated 7 years ago
- HCOMP '22 -- Eliciting and Learning with Soft Labels from Every Annotator☆10Nov 1, 2022Updated 3 years ago
- Mathematical Modeling Toolbox with R☆18Dec 5, 2025Updated 3 months ago
- Nearest Neighbor Kernel Conditional Density Estimation☆11May 9, 2020Updated 5 years ago
- Code for Accelerated Linearized Laplace Approximation for Bayesian Deep Learning (ELLA, NeurIPS 22')☆17Oct 12, 2022Updated 3 years ago
- Measurements of Three-Level Hierarchical Structure in the Outliers in the Spectrum of Deepnet Hessians (ICML 2019)☆16Apr 27, 2019Updated 6 years ago
- Cost-aware Bayesian optimization via the Pandora's box Gittins index☆14Aug 8, 2025Updated 7 months ago
- Accelerated Bayesian SED modeling using Amortized Neural Posterior Estimation☆25Dec 11, 2025Updated 3 months ago
- 武汉大学引力波天文学课程材料☆17Dec 9, 2021Updated 4 years ago
- Official PyTorch implementation of NeurIPS 2022 paper "Invertible Monotone Operators for Normalizing Flows"☆14Nov 28, 2022Updated 3 years ago
- Musically plays LLVM code☆14Updated this week
- Integrated Software in Testing General Relativity☆12Feb 27, 2026Updated 3 weeks ago
- Official URDF and SDF models of the R1 humanoid robot.☆16Dec 6, 2023Updated 2 years ago
- Phy411 Time Series Analysis - University of Victoria☆22Sep 9, 2016Updated 9 years ago
- 一个简单的爬虫，抓取中国人民银行官网货币政策司的公开市场业务交易公告。☆12Aug 30, 2020Updated 5 years ago
- Gaussian processes in TensorFlow☆1,906May 29, 2025Updated 9 months ago
- Martingale posterior neural networks for fast sequential decision making @ Neurips 2025☆23Nov 13, 2025Updated 4 months ago
- simple JAX-/NumPy-based implementations of NGD with exact/approximate Fisher Information Matrix both in parameter-space and function-spac…☆16Oct 21, 2020Updated 5 years ago
- The MATLAB code below implements the second-order SPSA (simultaneous perturbation stochastic approximation) and second-order SG (stochast…☆13Nov 27, 2020Updated 5 years ago