pareto frontier

Multi-Value Alignment for LLMs via Value Decorrelation and Extrapolation AAAI 2026 A Fine-grained Characterization of PAC Learnability COLT 2025 An Architecture Search Framework for Inference-Time Techniques ICML 2025 COM-BOM: Bayesian Exemplar Search for Efficiently Exploring the Accuracy-Calibration Pareto Frontier EMNLP 2025 Mixtures of In-Context Learners ACL 2025 Pareto-frontier Entropy Search with Variational Lower Bound Maximization ICML 2025 Preference Controllable Reinforcement Learning with Advanced Multi-Objective Optimization ICML 2025 Value-Based Deep RL Scales Predictably ICML 2025 Optimal Scalarizations for Sublinear Hypervolume Regret NeurIPS 2024 Unprocessing Seven Years of Algorithmic Fairness ICLR 2024 Automating Nearest Neighbor Search Configuration with Constrained Optimization ICLR 2023 Efficiently Controlling Multiple Risks with Pareto Testing ICLR 2023 Fair Data Representation for Machine Learning at the Pareto Frontier JMLR 2023 Multi-Objective Population Based Training ICML 2023 {PF}$^2$ES: Parallel Feasible Pareto Frontier Entropy Search for Multi-Objective Bayesian Optimization AISTATS 2023 Leveraging Initial Hints for Free in Stochastic Linear Bandits ALT 2022 Multi-objective Optimization by Learning Space Partition ICLR 2022 Robust Multi-Objective Reinforcement Learning with Dynamic Preferences ACML 2022 The Pareto Frontier of Instance-Dependent Guarantees in Multi-Player Multi-Armed Bandits with no Communication COLT 2022 Towards Efficient NLP: A Standard Evaluation and A Strong Baseline NAACL 2022 Two-Sided Matching over Social Networks IJCAI 2022 CompOFA – Compound Once-For-All Networks for Faster Multi-Platform Deployment ICLR 2021 DeepReDuce: ReLU Reduction for Fast Private Inference ICML 2021 Hybrid Predictive Models: When an Interpretable Model Collaborates with a Black-box Model JMLR 2021 Optimal Decision Trees for Nonlinear Metrics AAAI 2021