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

Random Hypervolume Scalarizations for Provable Multi-Objective Black Box Optimization ICML 2020
Preference learning along multiple criteria: A game-theoretic perspective NIPS 2020
Multi-Objective Molecule Generation using Interpretable Substructures ICML 2020
Online Learning with Primary and Secondary Losses NIPS 2020
Differentiable Expected Hypervolume Improvement for Parallel Multi-Objective Bayesian Optimization NIPS 2020
Multi-Task Learning with User Preferences: Gradient Descent with Controlled Ascent in Pareto Optimization ICML 2020
Generating Behavior-Diverse Game AIs with Evolutionary Multi-Objective Deep Reinforcement Learning IJCAI 2020
Agnostic Learning with Multiple Objectives NIPS 2020
Asymptotic Risk of Bézier Simplex Fitting AAAI 2020
Empowering Active Learning to Jointly Optimize System and User Demands ACL 2020
Agree to Disagree: Adaptive Ensemble Knowledge Distillation in Gradient Space NIPS 2020
The Kalai-Smorodinsky solution for many-objective Bayesian optimization JMLR 2020
Tchebycheff Procedure for Multi-task Text Classification ACL 2020
Minimax Pareto Fairness: A Multi Objective Perspective ICML 2020
Learning Fair Policies in Multi-Objective (Deep) Reinforcement Learning with Average and Discounted Rewards ICML 2020
Learning Multi-Objective Rewards and User Utility Function in Contextual Bandits for Personalized Ranking IJCAI 2019
Open Problem: Risk of Ruin in Multiarmed Bandits COLT 2019
Multi-objective training of Generative Adversarial Networks with multiple discriminators ICML 2019
Running Time Analysis of MOEA/D with Crossover on Discrete Optimization Problem AAAI 2019
A Generalized Algorithm for Multi-Objective Reinforcement Learning and Policy Adaptation NIPS 2019
Pareto Multi-Task Learning NIPS 2019
Group-Fairness in Influence Maximization IJCAI 2019
Regret Minimization for Reinforcement Learning with Vectorial Feedback and Complex Objectives NIPS 2019
Max-value Entropy Search for Multi-Objective Bayesian Optimization NIPS 2019
Pareto Monte Carlo Tree Search for Multi-Objective Informative Planning RSS 2019