daizhongxiang / Federated_Bayesian_OptimizationLinks
Code for the NeurIPS 2020 paper: "Federated Bayesian Optimization via Thompson Sampling"
☆26Updated 4 years ago
Alternatives and similar repositories for Federated_Bayesian_Optimization
Users that are interested in Federated_Bayesian_Optimization are comparing it to the libraries listed below
Sorting:
- Official implementation for the paper "Sample-Then-Optimize Batch Neural Thompson Sampling", published at NeurIPS 2022.☆10Updated 2 years ago
- Bayesian Optimization with Density-Ratio Estimation☆24Updated 2 years ago
- Release code for ICML2020 Knowing The What But Not The Where in Bayesian Optimization☆15Updated 2 years ago
- Bayesian Neural Network Surrogates for Bayesian Optimization☆57Updated last year
- This is the official implementation for COSMOS: a method to learn Pareto fronts that scales to large datasets and deep models.☆38Updated 4 years ago
- Re-Examining Linear Embeddings for High-dimensional Bayesian Optimization☆42Updated 4 years ago
- Source code for the Paper: CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints}☆72Updated 3 years ago
- Example code for paper "Bilevel Optimization: Nonasymptotic Analysis and Faster Algorithms"☆50Updated 3 years ago
- Experiments for distributed optimization algorithms☆79Updated 2 years ago
- ☆23Updated 2 years ago
- Multi-Objective Bayesian Optimization over High-Dimensional Search Spaces☆60Updated 2 years ago
- [ICLR 2022] "Bayesian Modeling and Uncertainty Quantification for Learning to Optimize: What, Why, and How" by Yuning You, Yue Cao, Tianl…☆14Updated 3 years ago
- ☆12Updated 3 years ago
- Bayesian Optimization Meets Bayesian Optimal Stopping☆32Updated 4 years ago
- Benchmark for bi-level optimization solvers☆48Updated 3 months ago
- [NeurIPS 2020 Spotlight Oral] "Training Stronger Baselines for Learning to Optimize", Tianlong Chen*, Weiyi Zhang*, Jingyang Zhou, Shiyu …☆28Updated 3 years ago
- [NeurIPS DBT 2021] HPO-B☆36Updated last month
- A collection of papers and readings for non-convex optimization☆31Updated 6 years ago
- Repo for ICML'23 paper SurCo Learning Linear Surrogates For Combinatorial Nonlinear Optimization Problems☆18Updated 2 years ago
- This repo provide code for paper "FedCBO: Reaching Consensus in Clustered Federated Learning through Consensus-based Optimization".☆11Updated 2 years ago
- Meta-Learning Acquisition Functions for Transfer Learning in Bayesian Optimization☆40Updated 5 years ago
- Mini Bayesian Optimization package for ACML2020 Tutorial on Bayesian Optimization☆15Updated 2 years ago
- code for BINOCULARS and Multi-Step BO☆12Updated 4 years ago
- Distributionally Robust Learning in PyTorch. Install with `pip install sqwash`.☆12Updated last year
- ☆26Updated last year
- Code associated with paper "High-Dimensional Contextual Policy Search with Unknown Context Rewards using Bayesian Optimization"☆15Updated 4 years ago
- Max-value Entropy Search for Efficient Bayesian Optimization☆77Updated 3 years ago
- Code for "Decision-Focused Learning without Differentiable Optimization: Learning Locally Optimized Decision Losses"☆28Updated last year
- Dynamic causal Bayesian optimisation☆40Updated 2 years ago
- Code the AAAI 2019 paper "Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization"☆34Updated 4 years ago