Pinned Repositories
automl-challenge-2018
AutoML Challenge 2018 at PAKDD 2018
batch-bayeso
bayeso
Simple, but essential Bayesian optimization package
bayeso-benchmarks
Benchmark functions for Bayesian optimization
error-free-differentiable-swap-functions
Official repository of "Generalized Neural Sorting Networks with Error-Free Differentiable Swap Functions," which has been presented at ICLR 2024
Multi-BOWS
Official implementation of "Multi-BOWS: Multi-Fidelity Multi-Objective Bayesian Optimization with Warm Starts for Nanophotonic Structure Design"
nanophotonic-structures
Official repository of "Datasets and Benchmarks for Nanophotonic Structure and Parametric Design Simulations"
On-Uncertainty-Estimation-by-Tree-based-Surrogate-Models-in-SMO
Official repository of "On Uncertainty Estimation by Tree-based Surrogate Models in Sequential Model-based Optimization", presented at AISTATS 2022
set_transformer
Pytorch implementation of set transformer
Brick-by-Brick
Official repository of Brick-by-Brick, presented at NeurIPS-2021
jungtaekkim's Repositories
jungtaekkim/bayeso
Simple, but essential Bayesian optimization package
jungtaekkim/bayeso-benchmarks
Benchmark functions for Bayesian optimization
jungtaekkim/automl-challenge-2018
AutoML Challenge 2018 at PAKDD 2018
jungtaekkim/error-free-differentiable-swap-functions
Official repository of "Generalized Neural Sorting Networks with Error-Free Differentiable Swap Functions," which has been presented at ICLR 2024
jungtaekkim/batch-bayeso
jungtaekkim/nanophotonic-structures
Official repository of "Datasets and Benchmarks for Nanophotonic Structure and Parametric Design Simulations"
jungtaekkim/On-Uncertainty-Estimation-by-Tree-based-Surrogate-Models-in-SMO
Official repository of "On Uncertainty Estimation by Tree-based Surrogate Models in Sequential Model-based Optimization", presented at AISTATS 2022
jungtaekkim/practical-bo-with-threshold-guided-mlm
jungtaekkim/Multi-BOWS
Official implementation of "Multi-BOWS: Multi-Fidelity Multi-Objective Bayesian Optimization with Warm Starts for Nanophotonic Structure Design"
jungtaekkim/set_transformer
Pytorch implementation of set transformer
jungtaekkim/bayeso-metrics
Beyond Regrets: Geometric Metrics for Bayesian Optimization
jungtaekkim/Combinatorial-BO-with-RMFs-to-CPs
jungtaekkim/jungtaekkim.github.io
jungtaekkim/ksc-2020-tutorial-on-bo
jungtaekkim/LOSAN-LOFAV
Official repository of "Noise-Adaptive Confidence Sets for Linear Bandits and Application to Bayesian Optimization"
jungtaekkim/PyGauss
Companion package of the review paper entitled 'High-dimensional Gaussian sampling: A review and a unifying approach based on a stochastic proximal point algorithm' by Maxime Vono et al.
jungtaekkim/truncated-mvn-sampler
Reimplementation using Python of the minimax tilting algorithm by Botev (2016) for simulation and iid sampling of the truncated multivariate normal distribution.
jungtaekkim/TuRBO