Optimization

Just Few States Are Enough: Randomized Sparse Feedback for Stability of Dynamical Systems AAAI 2026 KAD: A Framework for Proxy-based Test-time Alignment with Knapsack Approximation Deferral EACL 2026 KETCHUP: K-Step Return Estimation for Sequential Knowledge Distillation EACL 2026 Knowledge-Based Stable Roommates Problems AAAI 2026 KOALA: Knowledge of Optimization and Learning Algorithms for Healthcare AAAI 2026 Koopman-BoxQP: Solving Large-Scale NMPC at kHz Rates L4DC 2026 KV Pareto: Systems-Level Optimization of KV Cache and Model Compression for Long Context Inference EACL 2026 L2-LoRA: Improving Low-Rank Adaptation with Layer-Specific Regularization AAAI 2026 LAMDA: Two-Phase HPO via Learning Prior from Low-Fidelity Data AAAI 2026 Language Models and Logic Programs for Trustworthy Tax Reasoning AAAI 2026 Learn from Global Correlations: Enhancing Evolutionary Algorithm via Spectral GNN AAAI 2026 Learning 3D Reconstruction with Priors in Test Time CVPR 2026 Learning-Augmented Ski Rental with Discrete Distribution: A Bayesian Approach AAAI 2026 Learning Branching Policies for MILPs with Proximal Policy Optimization AAAI 2026 Learning Droplet Dynamics on Rough Unstructured Surfaces Using Physics-Informed Neural Networks (Student Abstract) AAAI 2026 Learning to Compress Graphs via Dual Agents for Consistent Topological Robustness Evaluation AAAI 2026 Learning to Ideate for Machine Learning Engineering Agents EACL 2026 Learning to Solve Constrained Bilevel Control Co-Design Problems L4DC 2026 Learning with Structure: Computing Consistent Subsets on Structurally-Regular Graphs AAAI 2026 Less Is More: Rethinking Parameter-Efficient Fine-Tuning from a Subtractive Perspective AAAI 2026 LILAD: Learning In-context Lyapunov-stable Adaptive Dynamics Models AAAI 2026 LLMdoctor: Token-Level Flow-Guided Preference Optimization for Efficient Test-Time Alignment of Large Language Models AAAI 2026 LLMs Know More About Numbers than They Can Say EACL 2026 LLMSurgeon: Diagnosing Data Mixture of Large Language Models ACL 2026 Long-form RewardBench: Evaluating Reward Models for Long-form Generation AAAI 2026