conftrace_

multi-objective optimization

364 papers

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Also known as

MOOP MO MOO

Co-occurring keywords

evolutionary algorithm (264) pareto front (63) bayesian optimization (624) pareto optimization (78) pareto optimal (58) reinforcement learning (4352) large language model (13587) runtime analysis (41) pareto optimality (78) multi-task learning (2575)

Papers

Bézier Simplex Fitting: Describing Pareto Fronts of´ Simplicial Problems with Small Samples in Multi-Objective Optimization AAAI 2019
Integrating Pseudo-Boolean Constraint Reasoning in Multi-Objective Evolutionary Algorithms IJCAI 2019
Multi-objective Bayesian optimisation with preferences over objectives NIPS 2019
A Flexible Framework for Multi-Objective Bayesian Optimization using Random Scalarizations UAI 2019
Dynamic Weights in Multi-Objective Deep Reinforcement Learning ICML 2019
Adversarial Black-Box Attacks on Automatic Speech Recognition Systems Using Multi-Objective Evolutionary Optimization INTERSPEECH 2019
Pareto Meets Huber: Efficiently Avoiding Poor Minima in Robust Estimation ICCV 2019
Learning Fairness in Multi-Agent Systems NIPS 2019
Unleashing Linear Optimizers for Group-Fair Learning and Optimization COLT 2018
Multi-objective Contextual Bandit Problem with Similarity Information AISTATS 2018
Descriptive Clustering: ILP and CP Formulations with Applications IJCAI 2018
Multi-Task Learning as Multi-Objective Optimization NIPS 2018
Batch Bayesian Optimization via Multi-objective Acquisition Ensemble for Automated Analog Circuit Design ICML 2018
Multi-objective Model-based Policy Search for Data-efficient Learning with Sparse Rewards CORL 2018
Multi-Objective Optimization Through Pareto Minimal Correction Subsets IJCAI 2018
Exploiting Strategy-Space Diversity for Batch Bayesian Optimization AISTATS 2018
Multi-objective Maximization of Monotone Submodular Functions with Cardinality Constraint NIPS 2018
Multi-Objective Analysis of Ridesharing in Automated Mobility-on-Demand RSS 2018
Multi-Agent Election-Based Hyper-Heuristics IJCAI 2018
A General Approach to Running Time Analysis of Multi-objective Evolutionary Algorithms IJCAI 2018
Stratification for Constraint-Based Multi-Objective Combinatorial Optimization IJCAI 2018
Multi-Objective Non-parametric Sequential Prediction NIPS 2017
Multi-objective Bandits: Optimizing the Generalized Gini Index ICML 2017
Pareto Front Identification from Stochastic Bandit Feedback AISTATS 2016
Pareto Frontier Learning with Expensive Correlated Objectives ICML 2016