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Optimization

14207 directly classified papers

Papers per year

Papers

Content Diversity-guided Ambiguity Mitigation for Open-Set Noisy Label Learning AAAI 2026

Cubing for Tuning AAAI 2026

Elite Pattern Reinforcement for Vehicle Routing Problems AAAI 2026

MTRL-CG: Multi-Task Reinforcement Learning Method with Spectral Clustering-Based Task Grouping AAAI 2026

Parallelizable Riemannian Alternating Direction Method of Multipliers for Non-convex Pose Graph Optimization AAAI 2026

Stochastic Decentralized Optimization of Non-Smooth Convex and Convex-Concave Problems over Time-Varying Networks AAAI 2026

Pareto-Grid-Guided Large Language Models for Fast and High-Quality Heuristics Design in Multi-Objective Combinatorial Optimization AAAI 2026

Superior Runtime Guarantees for the MOEA/D Multi-Objective Optimizer via Weighted-Sum Decomposition AAAI 2026

AMaPO: Adaptive Margin-attached Preference Optimization for Language Model Alignment AAAI 2026

Fading the Digital Ink: A Universal Black-Box Attack Framework for 3DGS Watermarking Systems AAAI 2026

Optimizing Health Coverage in Ethiopia: A Learning-augmented Approach and Persistent Proportionality Under an Online Budget AAAI 2026

Prune&Comp: Free Lunch for Layer-Pruned LLMs via Iterative Pruning with Magnitude Compensation AAAI 2026

Scalable Air-Quality Sensor Placement via Gradient-Based Mutual Information Maximization AAAI 2026

Breaking the Resource Monopoly: LLM Post-Training and Serving with Modest Data and Compute AAAI 2026

KOALA: Knowledge of Optimization and Learning Algorithms for Healthcare AAAI 2026

Positive Definite Sparse Covariance Estimation via Dual Space Optimization AAAI 2026

DeepBooTS: Dual-Stream Residual Boosting for Drift-Resilient Time-Series Forecasting AAAI 2026

Optimizing Product Provenance Verification Using Data Valuation Methods AAAI 2026

ART: Attention-Regularized Transformers for Multi-Modal Robustness EACL 2026

Think Hard Only When Needed: A Hybrid Best-of-N and Beam Search for Efficient Test-Time Compute EACL 2026

Importance of Prompt Optimisation for Error Detection in Medical Notes Using Language Models EACL 2026

AP2O-Coder: Adaptively Progressive Preference Optimization for Reducing Compilation and Runtime Errors in LLM-Generated Code AAAI 2026

Offline Preference Optimization via Maximum Marginal Likelihood Estimation EACL 2026

A Reinforcement Learning Framework for Robust and Secure LLM Watermarking EACL 2026

Learning to Ideate for Machine Learning Engineering Agents EACL 2026