multi-objective optimization

Agnostic Learning with Multiple Objectives NeurIPS 2020 Agree to Disagree: Adaptive Ensemble Knowledge Distillation in Gradient Space NeurIPS 2020 A Multi-Objective Approach to Mitigate Negative Side Effects IJCAI 2020 An Interactive Regret-Based Genetic Algorithm for Solving Multi-Objective Combinatorial Optimization Problems AAAI 2020 Asymptotic Risk of Bézier Simplex Fitting AAAI 2020 Balancing Competing Objectives with Noisy Data: Score-Based Classifiers for Welfare-Aware Machine Learning ICML 2020 Differentiable Expected Hypervolume Improvement for Parallel Multi-Objective Bayesian Optimization NeurIPS 2020 Diversity-Guided Multi-Objective Bayesian Optimization With Batch Evaluations NeurIPS 2020 Efficient Continuous Pareto Exploration in Multi-Task Learning ICML 2020 Empowering Active Learning to Jointly Optimize System and User Demands ACL 2020 Expert Learning through Generalized Inverse Multiobjective Optimization: Models, Insights, and Algorithms ICML 2020 Generating Behavior-Diverse Game AIs with Evolutionary Multi-Objective Deep Reinforcement Learning IJCAI 2020 Hardware-in-the-Loop End-to-End Optimization of Camera Image Processing Pipelines CVPR 2020 Learning Fair Policies in Multi-Objective (Deep) Reinforcement Learning with Average and Discounted Rewards ICML 2020 Minimax Pareto Fairness: A Multi Objective Perspective ICML 2020 Modelling Diversity of Solutions AAAI 2020 Multi-Fidelity Multi-Objective Bayesian Optimization: An Output Space Entropy Search Approach AAAI 2020 Multi-objective Bayesian Optimization using Pareto-frontier Entropy ICML 2020 Multi-Objective Molecule Generation using Interpretable Substructures ICML 2020 Multi-Task Learning with User Preferences: Gradient Descent with Controlled Ascent in Pareto Optimization ICML 2020 MUXConv: Information Multiplexing in Convolutional Neural Networks CVPR 2020 NSGA-Net: Neural Architecture Search using Multi-Objective Genetic Algorithm (Extended Abstract) IJCAI 2020 Online Learning with Primary and Secondary Losses NeurIPS 2020 Preference learning along multiple criteria: A game-theoretic perspective NeurIPS 2020 Random Hypervolume Scalarizations for Provable Multi-Objective Black Box Optimization ICML 2020