daizhongxiang / Bayesian-Optimization-Meets-Bayesian-Optimal-Stopping
Bayesian Optimization Meets Bayesian Optimal Stopping
☆31Updated 4 years ago
Alternatives and similar repositories for Bayesian-Optimization-Meets-Bayesian-Optimal-Stopping:
Users that are interested in Bayesian-Optimization-Meets-Bayesian-Optimal-Stopping are comparing it to the libraries listed below
- ☆49Updated 6 months ago
- Code Repo for "Subspace Inference for Bayesian Deep Learning"☆81Updated 8 months ago
- Reproducible code for paper "qEUBO A Decision-Theoretic Acquisition Function for Preferential Bayesian Optimization" from AISTATS 2023☆22Updated last year
- Multi-fidelity Gaussian Process Bandit Optimisation☆39Updated 8 years ago
- Official implementation of NeurIPS'22 paper "Monte Carlo Tree Search based Variable Selection for High-Dimensional Bayesian Optimization"☆35Updated last year
- Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design☆30Updated 3 years ago
- Max-value Entropy Search for Efficient Bayesian Optimization☆71Updated 3 years ago
- Code for the Population-Based Bandits Algorithm, presented at NeurIPS 2020.☆20Updated 3 years ago
- Code for doubly stochastic gradients☆25Updated 10 years ago
- Re-Examining Linear Embeddings for High-dimensional Bayesian Optimization☆41Updated 3 years ago
- PyTorch implementation of efficient algorithms for DRO with CVaR and Chi-Square uncertainty sets☆58Updated 2 years ago
- Bayesian Optimization with Density-Ratio Estimation☆23Updated 2 years ago
- Simple implementation of the CGP-UCB algorithm.☆32Updated 5 years ago
- Simple implementation of GP-UCB algorithm.☆51Updated 8 years ago
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 5 years ago
- A PyTorch implementation of various Online & Stochastic optimization algorithms for deep learning☆27Updated 3 years ago
- Release code for ICML2020 Knowing The What But Not The Where in Bayesian Optimization☆15Updated last year
- ☆42Updated 6 years ago
- The High-dimensional BayesOpt algorithms from "A Framework for Bayesian Optimization in Embedded Subspaces☆40Updated 5 years ago
- A framework for Bayesian optimization of composite functions.☆14Updated 2 years ago
- Code repository for Ensemble Bayesian Optimization☆52Updated 5 years ago
- Projective Preferential Bayesian Optimization☆18Updated last year
- Deep Gaussian Processes with Doubly Stochastic Variational Inference☆148Updated 6 years ago
- Implicit Deep Adaptive Design (iDAD): Policy-Based Experimental Design without Likelihoods☆18Updated 3 years ago
- Deconfounding Reinforcement Learning in Observational Settings☆49Updated 5 years ago
- Code associated with paper "High-Dimensional Contextual Policy Search with Unknown Context Rewards using Bayesian Optimization"☆15Updated 4 years ago
- Source code for the Paper: CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints}☆72Updated 2 years ago
- Code repo for "Function-Space Distributions over Kernels"☆31Updated 4 years ago
- Code accompanying the paper "Probabilistic Selection of Inducing Points in Sparse Gaussian Processes".☆24Updated 2 years ago
- A community repository for benchmarking Bayesian methods☆11Updated last year