jj-zhu / kdro
Code for the paper: Kernel Distributionally Robust Optimization
☆13Updated 4 years ago
Alternatives and similar repositories for kdro:
Users that are interested in kdro are comparing it to the libraries listed below
- Accompanying code for our NeurIPS 2019 paper☆12Updated 5 years ago
- code for BINOCULARS and Multi-Step BO☆11Updated 4 years ago
- Source files for our regularization paper!☆16Updated 5 years ago
- The MATLAB source code☆15Updated 5 years ago
- SAASBO: a package for high-dimensional bayesian optimization☆43Updated 3 years ago
- Bayesian Optimization with Density-Ratio Estimation☆23Updated 2 years ago
- Distributionally Robust Learning in PyTorch. Install with `pip install sqwash`.☆12Updated last year
- ☆26Updated last month
- Constrained optimization for Pytorch using the SQP-GS algorithm☆33Updated 11 months ago
- Benchmarking Surrogate-based Optimisation Algorithms on Expensive Black-box Functions☆25Updated 5 months ago
- Learning-to-Optimize for Mixed-Integer Non-Linear Programming☆30Updated 3 weeks ago
- A Tensorflow based library for Time Series Modelling with Gaussian Processes☆30Updated 9 months ago
- ☆26Updated last month
- ☆15Updated 2 years ago
- Release code for ICML2020 Knowing The What But Not The Where in Bayesian Optimization☆15Updated 2 years ago
- Deep universal probabilistic programming with Python and PyTorch☆12Updated 5 years ago
- A community repository for benchmarking Bayesian methods☆11Updated last year
- Codes for the paper "Data-Driven Sample Average Approximation with Covariate Information"☆11Updated 2 years ago
- This repository is the the implementation of the JAIR paper: https://doi.org/10.1613/jair.1.15320. This repository provides the codebase …☆39Updated last month
- ☆11Updated 3 years ago
- ☆24Updated last year
- Code of the Performance Estimation Toolbox (PESTO) whose aim is to ease the access to the PEP methodology for performing worst-case analy…☆54Updated last year
- Mini Bayesian Optimization package for ACML2020 Tutorial on Bayesian Optimization☆15Updated 2 years ago
- Bayesian Neural Network Surrogates for Bayesian Optimization☆49Updated 11 months ago
- Companion code to "Learning Stable Deep Dynamics Models" (Manek and Kolter, 2019)☆33Updated 5 years ago
- Code accompanying the paper "Probabilistic Selection of Inducing Points in Sparse Gaussian Processes".☆24Updated 2 years ago
- An adaptive black-box optimization method with directional Gaussian smoothing for high-dimensional multi-modal functions☆9Updated 4 years ago
- Learning unknown ODE models with Gaussian processes☆26Updated 6 years ago
- Example code to speed up GP inference with gradients for high-dimensional inputs.☆14Updated 3 years ago
- Benchmark for bi-level optimization solvers☆44Updated 5 months ago