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Optimization

14207 directly classified papers

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Papers

Online Robust Planning Under Model Uncertainty: A Sample-Based Approach AAAI 2026
Learning-Augmented Ski Rental with Discrete Distribution: A Bayesian Approach AAAI 2026
Bayesian Network Structural Consensus via Greedy Min-Cut Analysis AAAI 2026
Minimum-Cost Network Flow with Dual Predictions AAAI 2026
Stochastic Decentralized Optimization of Non-Smooth Convex and Convex-Concave Problems over Time-Varying Networks AAAI 2026
Post-Hoc Refinement for Multitask Symbolic Regression via Consensus-Accelerated Shapley Analysis AAAI 2026
Instance Generation for Meta-Black-Box Optimization Through Latent Space Reverse Engineering AAAI 2026
Realistic Curriculum Reinforcement Learning for Autonomous and Sustainable Marine Vessel Navigation AAAI 2026
Aligning Generative Music AI with Human Preferences: Methods and Challenges AAAI 2026
Efficient Model Specialization via Training-time and Test-time Adaptation AAAI 2026
Theoretical Guarantees for Domain Adaptation with Hierarchical Optimal Transport (Abstract Reprint) AAAI 2026
Optimizing Product Provenance Verification Using Data Valuation Methods AAAI 2026
Clinician-in-the-Loop Smart Home System to Detect Urinary Tract Infection Flare-Ups via Uncertainty-Aware Decision Support AAAI 2026
Optimisation Problems in Constrained Machine Learning AAAI 2026
Graph Neural ODEs with Stability and Conservation Guarantees for Tumor Microenvironment Dynamics (Student Abstract) AAAI 2026
Bridging Machine Learning and Physics for Scalable Long-Term Building Temperature Prediction (Student Abstract) AAAI 2026
Feasibility-Aware Masked Transformer for the Pickup-and-Delivery Problem with Time Windows (Student Abstract) AAAI 2026
Misclassification-Aware Robust Learning from Multiple Human Labelers (Student Abstract) AAAI 2026
OR-R1: Automating Modeling and Solving of Operations Research Optimization Problem via Test-Time Reinforcement Learning AAAI 2026
Advancing Protein Design via Multi-Agent Reinforcement Learning with Pareto-Based Collaborative Optimization AAAI 2026
CoEvo: Continual Evolution of Symbolic Solutions Using Large Language Models AAAI 2026
AccKV: Towards Efficient Audio-Video LLMs Inference via Adaptive-Focusing and Cross-Calibration KV Cache Optimization AAAI 2026
Rethinking Direct Preference Optimization in Diffusion Models AAAI 2026
TSPO: Temporal Sampling Policy Optimization for Long-form Video Language Understanding AAAI 2026
Regressor-guided Diffusion Model for De Novo Peptide Sequencing with Explicit Mass Control AAAI 2026