softsys4ai / FlexiBO
FlexiBO: Cost-Aware Multi-Objective Optimization of Deep Neural Networks
☆14Updated 2 years ago
Alternatives and similar repositories for FlexiBO:
Users that are interested in FlexiBO are comparing it to the libraries listed below
- Batched High-dimensional Bayesian Optimization via Structural Kernel Learning☆14Updated 6 years ago
- Code for "Maximizing Acquisition Functions for Bayesian Optimization"☆13Updated 6 years ago
- The High-dimensional BayesOpt algorithms from "A Framework for Bayesian Optimization in Embedded Subspaces☆40Updated 5 years ago
- [ICLR 2022] "Bayesian Modeling and Uncertainty Quantification for Learning to Optimize: What, Why, and How" by Yuning You, Yue Cao, Tianl…☆13Updated 2 years ago
- constrained/unconstrained multi-objective bayesian optimization package.☆44Updated 2 years ago
- Multi-fidelity Gaussian Process Bandit Optimisation☆40Updated 8 years ago
- Bayesian Optimisation over Multiple Continuous and Categorical Inputs (CoCaBO)☆51Updated 5 years ago
- [ICML'21] Think Global and Act Local: Bayesian Optimisation for Categorical and Mixed Search Spaces☆30Updated 2 years ago
- Re-Examining Linear Embeddings for High-dimensional Bayesian Optimization☆41Updated 3 years ago
- Source code for the Paper: CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints}☆72Updated 2 years ago
- Bayesian Optimization with Density-Ratio Estimation☆23Updated 2 years ago
- ☆23Updated 2 years ago
- Mini Bayesian Optimization package for ACML2020 Tutorial on Bayesian Optimization☆15Updated 2 years ago
- Exact Pareto Optimal solutions for preference based Multi-Objective Optimization☆63Updated 2 years ago
- Official implementation of NeurIPS'22 paper "Monte Carlo Tree Search based Variable Selection for High-Dimensional Bayesian Optimization"☆38Updated 2 years ago
- Release code for ICML2020 Knowing The What But Not The Where in Bayesian Optimization☆15Updated 2 years ago
- An implementation of the 2016 meta-learning paper "Learning to Optimize" from the BAIR lab at Berkeley.☆21Updated 4 years ago
- ☆50Updated 8 months ago
- Max-value Entropy Search for Efficient Bayesian Optimization☆72Updated 3 years ago
- ☆43Updated last year
- Code associated with paper "High-Dimensional Contextual Policy Search with Unknown Context Rewards using Bayesian Optimization"☆15Updated 4 years ago
- Experiments with distributionally robust optimization (DRO) for deep neural networks☆35Updated 5 years ago
- [ICLR 2021] "Learning a Minimax Optimizer: A Pilot Study" by Jiayi Shen*, Xiaohan Chen*, Howard Heaton*, Tianlong Chen, Jialin Liu, Wotao…☆15Updated 3 years ago
- This is the code for our paper: Increasing the Scope as You Learn: Adaptive Bayesian Optimization in Nested Subspaces (Leonard Papenmeier…☆16Updated last year
- This is the official implementation for COSMOS: a method to learn Pareto fronts that scales to large datasets and deep models.☆38Updated 3 years ago
- Code for "Robust Multi-Objective Bayesian Optimization Under Input Noise"☆54Updated 2 years ago
- Code for the papers "Modeling the Second Player in Distributionally Robust Optimization" and "Distributionally Robust Models with Paramet…☆27Updated 2 years ago
- [NeurIPS 2021 | AIJ 2024] Multi-Objective Meta Learning☆14Updated 8 months ago
- Repository for paper: "SnAKe: Bayesian Optimization with Pathwise Exploration".☆16Updated last year
- A set of real-world multi-objective optimization problems☆48Updated 3 years ago