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Multi-Objective Optimization

151 directly classified papers

Papers per year

Papers

Improved Maximin Guarantees for Subadditive and Fractionally Subadditive Fair Allocation Problem AAAI 2022
Universal Simultaneous Machine Translation with Mixture-of-Experts Wait-k Policy EMNLP 2021
Enhancing E-commerce Recommender System Adaptability with Online Deep Controllable Learning-To-Rank AAAI 2021
Composite Adversarial Attacks AAAI 2021
Deep Innovation Protection: Confronting the Credit Assignment Problem in Training Heterogeneous Neural Architectures AAAI 2021
Accommodating Picky Customers: Regret Bound and Exploration Complexity for Multi-Objective Reinforcement Learning NIPS 2021
Robust Auction Design in the Auto-bidding World NIPS 2021
A Hierarchical Reinforcement Learning Based Optimization Framework for Large-scale Dynamic Pickup and Delivery Problems NIPS 2021
Offline Constrained Multi-Objective Reinforcement Learning via Pessimistic Dual Value Iteration NIPS 2021
Addressing Algorithmic Disparity and Performance Inconsistency in Federated Learning NIPS 2021
Multi-Objective Submodular Maximization by Regret Ratio Minimization with Theoretical Guarantee AAAI 2021
Almost Envy-freeness, Envy-rank, and Nash Social Welfare Matchings AAAI 2021
Fair and Interpretable Algorithmic Hiring using Evolutionary Many Objective Optimization AAAI 2021
Fair and Efficient Allocations with Limited Demands AAAI 2021
A Single Recipe for Online Submodular Maximization with Adversarial or Stochastic Constraints NIPS 2020
Subset Selection by Pareto Optimization with Recombination AAAI 2020
SM-NAS: Structural-to-Modular Neural Architecture Search for Object Detection AAAI 2020
Uncertainty-Aware Search Framework for Multi-Objective Bayesian Optimization AAAI 2020
Multi-Fidelity Multi-Objective Bayesian Optimization: An Output Space Entropy Search Approach AAAI 2020
IPO: Interior-Point Policy Optimization under Constraints AAAI 2020
Towards Socially Responsible AI: Cognitive Bias-Aware Multi-Objective Learning AAAI 2020
Preference learning along multiple criteria: A game-theoretic perspective NIPS 2020
Differentiable Expected Hypervolume Improvement for Parallel Multi-Objective Bayesian Optimization NIPS 2020
Autofocused oracles for model-based design NIPS 2020
Generating Behavior-Diverse Game AIs with Evolutionary Multi-Objective Deep Reinforcement Learning IJCAI 2020