HazyResearch / lp_rffsLinks
Low precision random Fourier features for kernel approximation
☆19Updated 5 years ago
Alternatives and similar repositories for lp_rffs
Users that are interested in lp_rffs are comparing it to the libraries listed below
Sorting:
- ☆51Updated 10 months ago
- Re-Examining Linear Embeddings for High-dimensional Bayesian Optimization☆41Updated 3 years ago
- Code for the paper "Bayesian Neural Network Priors Revisited"☆58Updated 3 years ago
- Code for the paper "Learning Step-Size Adaptation in CMA-ES"☆11Updated 2 years ago
- ☆12Updated 2 years ago
- Bayesian Neural Network Surrogates for Bayesian Optimization☆51Updated last year
- Implementation for Non-stationary Spectral Kernels (NIPS 2017)☆20Updated 5 years ago
- Adaptive and Reliable Classification: efficient conformity scores for multi-class classification problems☆31Updated 2 years ago
- Stochastic Gradient Langevin Dynamics for Bayesian learning☆31Updated 3 years ago
- ☆16Updated 6 years ago
- Pytorch version of "Deep Convolutional Networks as shallow Gaussian Processes" by Adrià Garriga-Alonso, Carl Rasmussen and Laurence Aitch…☆32Updated 5 years ago
- Rudi, A., Camoriano, R. and Rosasco, L., Less is more: Nyström computational regularization. In Advances in Neural Information Processing…☆12Updated 5 years ago
- Randomized Tensor Decompositions☆30Updated 8 years ago
- Experiments from the paper "On Second Order Behaviour in Augmented Neural ODEs"☆58Updated 8 months ago
- Code for "Maximizing Acquisition Functions for Bayesian Optimization"☆13Updated 6 years ago
- FALKON implementation used in the experimental section of "FALKON: An Optimal Large Scale Kernel Method"☆29Updated 4 years ago
- ☆15Updated 2 years ago
- [ICLR 2022] "Bayesian Modeling and Uncertainty Quantification for Learning to Optimize: What, Why, and How" by Yuning You, Yue Cao, Tianl…☆14Updated 2 years ago
- NeurIPS 2020 Spotlight Paper☆12Updated 3 years ago
- Modern Gaussian Processes: Scalable Inference and Novel Applications☆20Updated 5 years ago
- Models and code for the ICLR 2020 workshop paper "Towards Understanding Normalization in Neural ODEs"☆16Updated 5 years ago
- Quadrature-based features for kernel approximation☆16Updated 6 years ago
- Code for the paper "Let’s Make Block Coordinate Descent Go Fast"☆48Updated last year
- Code repo for "Function-Space Distributions over Kernels"☆31Updated 4 years ago
- Code for A General Recipe for Likelihood-free Bayesian Optimization, ICML 2022☆44Updated 2 years ago
- ☆46Updated last year
- Non-stationary spectral mixture kernels implemented in GPflow☆28Updated 6 years ago
- gpbo☆25Updated 4 years ago
- Implementation of Information Bottleneck with Mutual Information Neural Estimation (MINE)☆19Updated 3 years ago
- Random feature latent variable models in Python☆22Updated last year