Paper List for Expensive Multi-objective Optimization
πRelated Frameworks
πRelated Benchmarks
πRelated Datasets
πRelated Reviews
πRelated Conferences and Journals
πMulti-objective Bayesian Optimization
- mDTLZ
- UF
- WFG
- DTLZ
- BBOB
- COCO
- Hyper-parameter Tuning[paper, code]
- RWCMOPs
- Real world Problems, RE, [Paper,Code]
- (2016) Taking the Human Out of the Loop: A Review of Bayesian Optimization
- (2007) Evolutionary Algorithms for Solving Multi-Objective Problems
- (2006) Gaussian Process for Machine Learning
AAAI, IJCAI, ICLR, ICML, NIPS, UAI, AISTATS, ECML, PPSN, GECCO, CEC
IEEE Transactions On Evolutionary Computation, IEEE Transactions on Cybernetics, IEEE Transactions on Intelligent Transportation Systems, Knowledge-based System, Soft Computating, Journal of Global Optimization Evolutionary Computation, The Journal of Machine Learning Research, Neurocomputing, Journal of Optimization Theory and Applications, Swarm and Evolutionary Computation
- (2022) Increasing the Scope as You Learn: Adaptive Bayesian Optimization in Nested Subspaces[code]
- (2021) Risk-averse Heteroscedastic Bayesian Optimization[code]
- (2021) Reinforced Few-Shot Acquisition Function Learning for Bayesian Optimization[code]
- (2021) Bayesian Optimization with High-Dimensional Outputs[code]
- (2021) Batch Multi-Fidelity Bayesian Optimization with Deep Auto-Regressive Networks
- (2021) BORE: Bayesian Optimization by Density-Ratio Estimation
- (2021) Bayesian Optimization over Hybrid Spaces
- (2019) Adaptive and safe bayesian optimization in high dimensions via one-dimensional subspaces
- (2022) Pareto Set Learning for Expensive Multi-Objective Optimization [code]
- (2022) Joint Entropy Search for Multi-Objective Bayesian Optimization[code]
- (2022) Sentiment and Emotion help Sarcasm? A Multi-task Learning Framework for Multi-Modal Sarcasm, Sentiment and Emotion Analysis [code]
- (2021) Parallel Bayesian Optimization of Multiple Noisy Objectives with Expected Hypervolume Improvement[code]
- (2022) Dual Low-Rank Multimodal Fusion[code]
- (2021) Latency-Aware Neural Architecture Search with Multi-Objective Bayesian Optimization
- (2017) Solving high-dimensional multi-objective optimization problems with low effective di- mensions
- (2021) High-Dimensional Bayesian Optimization with Sparse Axis-Aligned Subspaces[code]
- (2021) Multi-Objective Bayesian Optimization over High-Dimensional Search Spaces[code]
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML)
- (2021) High-Dimensional Bayesian Optimisation with Variational Autoencoders and Deep Metric Learning
- (2021) Bayesian Optimization with a Prior for the Optimum
- (2023) [Choose Appropriate Subproblems for Collaborative Modeling in Expensive Multiobjective Optimization(https://ieeexplore.ieee.org/document/9626546)][code]
- (2021) Expensive Multi-Objective Evolutionary Optimization Assisted by Dominance Prediction
- (2016) A surrogate-assisted reference vector guided evolutionary algorithm for computationally expensive many-objective optimization
- (2010) Expensive multi-objective optimization by MOEA/D with Gaussian process model
- (2006) ParEGO: a hybrid algorithm with on-line landscape approximation for expensive multi-objective optimization problems