Alternatives and similar repositories for NoisyInputEntropySearch

Users that are interested in NoisyInputEntropySearch are comparing it to the libraries listed below

• facebookresearch / ContextualBO
  Code associated with paper "High-Dimensional Contextual Policy Search with Unknown Context Rewards using Bayesian Optimization"
  ☆15Updated 4 years ago
• LeoIV / BAxUS
  This is the code for our paper: Increasing the Scope as You Learn: Adaptive Bayesian Optimization in Nested Subspaces (Leonard Papenmeier…
  ☆17Updated last year
• ltiao / bore
  Bayesian Optimization with Density-Ratio Estimation
  ☆24Updated 2 years ago
• aryandeshwal / BODi
  ☆9Updated last year
• wujian16 / TwoStep-BayesOpt
  NeurIPS 2019 Paper
  ☆11Updated 5 years ago
• boschresearch / MetaBO
  Meta-Learning Acquisition Functions for Transfer Learning in Bayesian Optimization
  ☆38Updated 5 years ago
• ntienvu / KnownOptimum_BO
  Release code for ICML2020 Knowing The What But Not The Where in Bayesian Optimization
  ☆15Updated 2 years ago
• yucenli / bnn-bo
  Bayesian Neural Network Surrogates for Bayesian Optimization
  ☆53Updated last year
• facebookresearch / bo_pr
  Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization
  ☆73Updated 2 years ago
• xingchenwan / Casmopolitan
  [ICML'21] Think Global and Act Local: Bayesian Optimisation for Categorical and Mixed Search Spaces
  ☆30Updated 2 years ago
• zi-w / Ensemble-Bayesian-Optimization
  Code repository for Ensemble Bayesian Optimization
  ☆53Updated 5 years ago
• Yunxiang-Z / Predictive_Entropy_Search
  ☆13Updated 5 years ago
• a5a / asynchronous-BO
  Code related to the paper "Asynchronous Batch Bayesian Optimisation with Improved Local Penalisation"
  ☆12Updated 6 years ago
• aryandeshwal / HyBO
  ☆23Updated 2 years ago
• rubinxin / CoCaBO_code
  Bayesian Optimisation over Multiple Continuous and Categorical Inputs (CoCaBO)
  ☆52Updated 5 years ago
• jonasrothfuss / meta_learning_pacoh
  Meta-learning Gaussian process (GP) priors via PAC-Bayes bounds
  ☆26Updated last year
• aminnayebi / HesBO
  The High-dimensional BayesOpt algorithms from "A Framework for Bayesian Optimization in Embedded Subspaces
  ☆41Updated 6 years ago
• kirthevasank / gp-parallel-ts
  Parallelised Thompson Sampling in GPs for Bayesian Optimisation
  ☆36Updated 7 years ago
• machinelearningnuremberg / HPO-B
  [NeurIPS DBT 2021] HPO-B
  ☆34Updated 2 weeks ago
• zi-w / Max-value-Entropy-Search
  Max-value Entropy Search for Efficient Bayesian Optimization
  ☆76Updated 3 years ago
• Shen-Lab / Bayesian-L2O
  [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
• facebookresearch / alebo
  Re-Examining Linear Embeddings for High-dimensional Bayesian Optimization
  ☆41Updated 3 years ago
• facebookresearch / robust_mobo
  Code for "Robust Multi-Objective Bayesian Optimization Under Input Noise"
  ☆54Updated 3 years ago
• jparkerholder / ASEBO
  Code to run the ASEBO algorithm from the paper: From Complexity to Simplicity: Adaptive ES-Active Subspaces for Blackbox Optimization... …
  ☆16Updated 4 years ago
• daizhongxiang / sto-bnts
  Official implementation for the paper "Sample-Then-Optimize Batch Neural Thompson Sampling", published at NeurIPS 2022.
  ☆10Updated 2 years ago
• HoangATran / AdaDGS
  An adaptive black-box optimization method with directional Gaussian smoothing for high-dimensional multi-modal functions
  ☆9Updated 4 years ago
• jungtaekkim / bayeso-benchmarks
  Benchmark functions for Bayesian optimization
  ☆33Updated last year
• facebookresearch / morbo
  Multi-Objective Bayesian Optimization over High-Dimensional Search Spaces
  ☆58Updated 2 years ago
• martinjankowiak / saasbo
  SAASBO: a package for high-dimensional bayesian optimization
  ☆44Updated 3 years ago
• desi-ivanova / idad
  Implicit Deep Adaptive Design (iDAD): Policy-Based Experimental Design without Likelihoods
  ☆20Updated 3 years ago