multi-objective optimization

Reinforcement Learning for Datacenter Congestion Control AAAI 2022 Rich Feature Construction for the Optimization-Generalization Dilemma ICML 2022 Robust Multi-Objective Bayesian Optimization Under Input Noise ICML 2022 Robustness in Multi-Objective Submodular Optimization: a Quantile Approach ICML 2022 Runtime Analysis of Single- and Multi-Objective Evolutionary Algorithms for Chance Constrained Optimization Problems with Normally Distributed Random Variables IJCAI 2022 Smart Out-of-Home Advertising Using Artificial Intelligence and GIS Data AAAI 2022 Stochastic Multiple Target Sampling Gradient Descent NeurIPS 2022 Syne Tune: A Library for Large Scale Hyperparameter Tuning and Reproducible Research AutoML 2022 Tackling Neural Architecture Search With Quality Diversity Optimization AutoML 2022 Threshold-free Pattern Mining Meets Multi-Objective Optimization: Application to Association Rules IJCAI 2022 Towards Automated Discovery of God-Like Folk Algorithms for Rubik’s Cube AAAI 2022 Unsupervised Reinforcement Learning in Multiple Environments AAAI 2022 Using Reinforcement Learning for Operating Educational Campuses Safely during a Pandemic (Student Abstract) AAAI 2022 Visualizing the Relationship Between Encoded Linguistic Information and Task Performance ACL 2022 What to expect of hardware metric predictors in NAS AutoML 2022 YAHPO Gym - An Efficient Multi-Objective Multi-Fidelity Benchmark for Hyperparameter Optimization AutoML 2022 Active Speaker Detection as a Multi-Objective Optimization with Uncertainty-Based Multimodal Fusion Interspeech 2021 Addressing Algorithmic Disparity and Performance Inconsistency in Federated Learning NeurIPS 2021 Addressing fairness in classification with a model-agnostic multi-objective algorithm UAI 2021 A Runtime Analysis of Typical Decomposition Approaches in MOEA/D Framework for Many-objective Optimization Problems IJCAI 2021 Beyond the Pareto Efficient Frontier: Constraint Active Search for Multiobjective Experimental Design ICML 2021 Composite Adversarial Attacks AAAI 2021 Conflict-Averse Gradient Descent for Multi-task learning NeurIPS 2021 Deep Innovation Protection: Confronting the Credit Assignment Problem in Training Heterogeneous Neural Architectures AAAI 2021 Enhancing E-commerce Recommender System Adaptability with Online Deep Controllable Learning-To-Rank AAAI 2021