hjmshi / noise-tolerant-bfgsLinks
☆17Updated 4 years ago
Alternatives and similar repositories for noise-tolerant-bfgs
Users that are interested in noise-tolerant-bfgs are comparing it to the libraries listed below
Sorting:
- Bayesian algorithm execution (BAX)☆50Updated 4 years ago
- Turning SymPy expressions into JAX functions☆45Updated 4 years ago
- ☆22Updated 11 months ago
- ☆31Updated last year
- Repository for paper: "SnAKe: Bayesian Optimization with Pathwise Exploration".☆17Updated last year
- Riemannian Optimization Using JAX☆52Updated last year
- ☆111Updated 4 years ago
- Library for normalizing flows and neural flows.☆25Updated 3 years ago
- ☆30Updated 3 years ago
- Public code for running Stochastic Gradient Descent on GPs.☆39Updated 5 months ago
- Multi-Objective Bayesian Optimization over High-Dimensional Search Spaces☆61Updated 3 years ago
- Pytorch implementation of SuperPolyak subgradient method.☆43Updated 2 years ago
- Code to accompany the paper "Discovery of Physics from Data: Universal Laws and Discrepancies"☆28Updated 5 years ago
- A Metropolis-Hastings MCMC sampler accelerated via diffusion models☆15Updated last year
- Second-Order Neural ODE Optimizer, NeurIPS 2021 spotlight☆55Updated 3 years ago
- Turning SymPy expressions into PyTorch modules.☆151Updated 2 years ago
- Python library for parallel multiobjective simulation optimization☆83Updated last year
- Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling☆36Updated 3 years ago
- Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization☆74Updated 2 years ago
- Visualize, create, and operate on pytrees in the most intuitive way possible.☆45Updated 8 months ago
- Python trust-region subproblem solvers for nonlinear optimization☆28Updated last year
- Supplementary code for the paper "Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces"☆43Updated last year
- Bayesian optimization with Standard Gaussian Processes on high dimensional benchmarks☆15Updated 3 months ago
- Symbolic Regression using MCMC sampling☆29Updated 3 years ago
- Flow Annealed Importance Sampling Bootstrap (FAB) with JAX.☆12Updated last year
- Re-Examining Linear Embeddings for High-dimensional Bayesian Optimization☆43Updated 4 years ago
- simple JAX-/NumPy-based implementations of NGD with exact/approximate Fisher Information Matrix both in parameter-space and function-spac…☆15Updated 4 years ago
- Minimal Implementation of Bayesian Optimization in JAX☆97Updated 5 months ago
- Deterministic particle dynamics for simulating Fokker-Planck probability flows☆26Updated 2 years ago
- Stencil computations in JAX☆71Updated 2 years ago