hjmshi / noise-tolerant-bfgsLinks
☆18Updated 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)☆55Updated 4 years ago
- Repository for paper: "SnAKe: Bayesian Optimization with Pathwise Exploration".☆17Updated last year
- ☆22Updated last year
- High dimensional black-box optimizer using Latent Action Monte Carlo Tree Search algorithm☆29Updated 3 years ago
- ☆31Updated last year
- Turning SymPy expressions into JAX functions☆45Updated 4 years ago
- Pytorch implementation of SuperPolyak subgradient method.☆43Updated 3 years ago
- Public code for running Stochastic Gradient Descent on GPs.☆39Updated 7 months ago
- Re-Examining Linear Embeddings for High-dimensional Bayesian Optimization☆42Updated 4 years ago
- Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling☆36Updated 4 years ago
- Computing gradients and Hessians of feed-forward networks with GPU acceleration☆20Updated last year
- Deterministic particle dynamics for simulating Fokker-Planck probability flows☆26Updated 2 years ago
- Joint entropy search☆20Updated 3 years ago
- Minimal Gaussian process library in JAX with a simple (custom) approach to state management.☆12Updated last year
- Library for normalizing flows and neural flows.☆25Updated 3 years ago
- Python library for parallel multiobjective simulation optimization☆83Updated 3 weeks ago
- Riemannian Optimization Using JAX☆53Updated 2 years ago
- Differentiable interface to FEniCS/Firedrake for JAX using dolfin-adjoint/pyadjoint☆105Updated 2 years ago
- Numerically Solving Parametric Families of High-Dimensional Kolmogorov Partial Differential Equations via Deep Learning (NeurIPS 2020)☆22Updated 3 years ago
- Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization☆75Updated 3 years ago
- ☆30Updated 3 years ago
- Various code/notebooks to benchmark different ways we could estimate uncertainty in ML predictions.☆42Updated 4 years ago
- Code for efficiently sampling functions from GP(flow) posteriors☆74Updated 5 years ago
- Symbolic Regression using MCMC sampling☆29Updated 3 years ago
- Multi-Objective Bayesian Optimization over High-Dimensional Search Spaces☆66Updated 3 years ago
- ☆112Updated 4 years ago
- ☆16Updated 2 years ago
- Dive into Jax, Flax, XLA and C++☆32Updated 5 years ago
- ☆50Updated last year
- Minimal Implementation of Bayesian Optimization in JAX☆100Updated 7 months ago