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

What Lies beyond the Pareto Front? A Survey on Decision-Support Methods for Multi-Objective Optimization IJCAI 2023
Hypervolume Knowledge Gradient: A Lookahead Approach for Multi-Objective Bayesian Optimization with Partial Information ICML 2023
Multi-Objective Population Based Training ICML 2023
Constrained Decision Transformer for Offline Safe Reinforcement Learning ICML 2023
InstOptima: Evolutionary Multi-objective Instruction Optimization via Large Language Model-based Instruction Operators EMNLP 2023
Optimizing Multiple Simultaneous Objectives for Voting and Facility Location AAAI 2023
Neighbor Auto-Grouping Graph Neural Networks for Handover Parameter Configuration in Cellular Network AAAI 2023
A Proof That Using Crossover Can Guarantee Exponential Speed-Ups in Evolutionary Multi-Objective Optimisation AAAI 2023
Speeding Up Multi-Objective Hyperparameter Optimization by Task Similarity-Based Meta-Learning for the Tree-Structured Parzen Estimator IJCAI 2023
Discovering Many Diverse Solutions with Bayesian Optimization AISTATS 2023
LiDAR-in-the-Loop Hyperparameter Optimization CVPR 2023
Reinforcement Learning for Joint Optimization of Multiple Rewards JMLR 2023
Heuristic Search for Multi-Objective Probabilistic Planning AAAI 2023
Black-Box Sparse Adversarial Attack via Multi-Objective Optimisation CVPR 2023
Gradient-Adaptive Pareto Optimization for Constrained Reinforcement Learning AAAI 2023
FedMDFG: Federated Learning with Multi-Gradient Descent and Fair Guidance AAAI 2023
Multi-objective Search via Lazy and Efficient Dominance Checks IJCAI 2023
Fairly Recommending with Social Attributes: A Flexible and Controllable Optimization Approach NIPS 2023
Rigorous Runtime Analysis of MOEA/D for Solving Multi-Objective Minimum Weight Base Problems NIPS 2023
Federated Multi-Objective Learning NIPS 2023
Revisiting Scalarization in Multi-Task Learning: A Theoretical Perspective NIPS 2023
A Unifying Perspective on Multi-Calibration: Game Dynamics for Multi-Objective Learning NIPS 2023
Towards Data-Agnostic Pruning At Initialization: What Makes a Good Sparse Mask? NIPS 2023
{PF}$^2$ES: Parallel Feasible Pareto Frontier Entropy Search for Multi-Objective Bayesian Optimization AISTATS 2023
Consistent Aggregation of Objectives with Diverse Time Preferences Requires Non-Markovian Rewards NIPS 2023