Optimization

Entropy-Gated Branching for Efficient Test-Time Reasoning EACL 2026 EoH-S: Evolution of Heuristic Set Using LLMs for Automated Heuristic Design AAAI 2026 ERank: Fusing Supervised Fine-Tuning and Reinforcement Learning for Effective and Efficient Text Reranking AAAI 2026 Escaping Optimization Stagnation: Taking Steps Beyond Task Arithmetic via Difference Vectors AAAI 2026 Evaluating Adversarial Robustness of Concept Representations in Sparse Autoencoders EACL 2026 EvoFMVC: Trusted Federated Multi-View Clustering with Evolutionary Fusion AAAI 2026 Evolving Semantic Propagation for Aerial Semantic 3D Gaussian Splatting AAAI 2026 Experiential Fairness: Bridging the Gap Between User Experience and Resource-Centric Fairness in Online LLM Services AAAI 2026 Exploiting Missing Data Remediation Strategies Using Adversarial Missingness Attacks AAAI 2026 Explore and Establish Synergistic Effects Between Weight Pruning and Coreset Selection in Neural Network Training AAAI 2026 Exploring Non-Convex Discrete Energy Landscapes: An Efficient Langevin-Like Sampler with Replica Exchange AAAI 2026 Fading the Digital Ink: A Universal Black-Box Attack Framework for 3DGS Watermarking Systems AAAI 2026 Faster Game Solving via Asymmetry of Step Sizes AAAI 2026 Faster Game Solving via Hyperparameter Schedules AAAI 2026 Faster Newton Methods for Convex and Nonconvex Optimization in Gradient Complexity COLT 2026 Fast Guaranteed Robust Local-Smooth Principal Component Separation AAAI 2026 FAST: Topology-Aware Frequency-Domain Distribution Matching for Coreset Selection CVPR 2026 Feasibility-Aware Masked Transformer for the Pickup-and-Delivery Problem with Time Windows (Student Abstract) AAAI 2026 FedAdamom: Adaptive Momentum for Improved Generalization in Federated Optimization CVPR 2026 FedEFC: Federated Learning Using Enhanced Forward Correction Against Noisy Labels WACV 2026 Federated Linear Dueling Bandits AAAI 2026 FedLAGC: Towards High Performance System-Heterogeneous Federated Learning via Layer-Adaptive Submodel Extraction and Gradient Correction AAAI 2026 FedPM: Federated Learning Using Second-order Optimization with Preconditioned Mixing of Local Parameters AAAI 2026 FedSteer: Taming Extreme Gradient Staleness in Federated Learning with Corrective Projections and Caching UAI 2026 Few-for-Many Personalized Federated Learning CVPR 2026