← Learning Types
Machine Learning › Learning Types ›

Multi-Objective Optimization

151 directly classified papers

Papers per year

Papers

A Multi-Objective Approach to Mitigate Negative Side Effects IJCAI 2020
Prediction-Guided Multi-Objective Reinforcement Learning for Continuous Robot Control ICML 2020
Modelling Diversity of Solutions AAAI 2020
Representative Solutions for Bi-Objective Optimisation AAAI 2020
Simultaneous Translation Policies: From Fixed to Adaptive ACL 2020
Tchebycheff Procedure for Multi-task Text Classification ACL 2020
Empowering Active Learning to Jointly Optimize System and User Demands ACL 2020
Multi-objective Bayesian optimisation with preferences over objectives NIPS 2019
Emergency Department Online Patient-Caregiver Scheduling AAAI 2019
Migration as Submodular Optimization AAAI 2019
A Bridge between Liquid and Social Welfare in Combinatorial Auctions with Submodular Bidders AAAI 2019
Multi-objective training of Generative Adversarial Networks with multiple discriminators ICML 2019
Max-value Entropy Search for Multi-Objective Bayesian Optimization NIPS 2019
Regret Minimization for Reinforcement Learning with Vectorial Feedback and Complex Objectives NIPS 2019
Fair Algorithms for Clustering NIPS 2019
Rotational Diversity in Multi-Cycle Assignment Problems AAAI 2019
Contextual Combinatorial Multi-armed Bandits with Volatile Arms and Submodular Reward NIPS 2018
Multi-Task Learning as Multi-Objective Optimization NIPS 2018
Monte-Carlo Tree Search for Constrained POMDPs NIPS 2018
Multi-Objective Non-parametric Sequential Prediction NIPS 2017
Video Summarization by Learning Submodular Mixtures of Objectives CVPR 2015
Robust Multi-objective Learning with Mentor Feedback COLT 2014
Optimistic policy iteration and natural actor-critic: A unifying view and a non-optimality result NIPS 2013
The Pareto Regret Frontier NIPS 2013
GenDeR: A Generic Diversified Ranking Algorithm NIPS 2012