Optimization

Priority-Based Graph-Enhanced Reinforcement Learning for Robust Analog Circuit Optimization AAAI 2026 PrivSynth: Alternating and Control-Based Optimization for Privacy and Utility in Synthetic Data CVPR 2026 Probabilistic Deformation Consistency for Unsupervised Shape Matching AAAI 2026 Probabilistic Hierarchical Goal Network Planning with UCT AAAI 2026 ProCAST: A Projection Framework for Coupled Aggregation Constrained Multivariate Time Series Forecasting AAAI 2026 ProFuser: Progressive Fusion of Large Language Models AAAI 2026 Progressive Guessing to Fixed Point: Rethinking Human Motion Prediction with Deep Equilibrium Models CVPR 2026 Promoting Efficient Reasoning with Verifiable Stepwise Reward AAAI 2026 PromptFE: Automated Feature Engineering by Prompting EACL 2026 Prompting Adversarial Transferability via Path Flatness Attack AAAI 2026 promptolution: A Unified, Modular Framework for Prompt Optimization EACL 2026 Prompt-OT: An Optimal Transport Regularization Paradigm for Knowledge Preservation in Vision-Language Model Adaptation WACV 2026 ProRefine: Inference-Time Prompt Refinement with Textual Feedback (Student Abstract) AAAI 2026 Provably Data-Driven Projection Method for Quadratic Programming AAAI 2026 Prune&Comp: Free Lunch for Layer-Pruned LLMs via Iterative Pruning with Magnitude Compensation AAAI 2026 PSEO: Optimizing Post-hoc Stacking Ensemble Through Hyperparameter Tuning AAAI 2026 Pseudo-Spiking Neurons: A Noise-Based Training Framework for Heterogeneous-Latency Spiking Neural Networks AAAI 2026 PSPO: Prompt-Level Prioritization and Experience-Weighted Smoothing for Efficient Policy Optimization AAAI 2026 PUFM: Efficient Point Cloud Upsampling via Flow Matching AAAI 2026 Put the Space of LoRA Initialization to the Extreme to Preserve Pre-trained Knowledge AAAI 2026 qa-FLoRA: Data-free query-adaptive Fusion of LoRAs for LLMs AAAI 2026 Q Cache: Visual Attention Is Valuable in Less than Half of Decode Layers for Multimodal Large Language Model AAAI 2026 QiMeng-Kernel: Macro-Thinking Micro-Coding Paradigm for LLM-Based High-Performance GPU Kernel Generation AAAI 2026 QuadraNet V2: Efficient and Sustainable Training of High-Order Neural Networks with Quadratic Adaptation WACV 2026 Quantitative Convergence Analysis of Projected Stochastic Gradient Descent for Non-Convex Losses via the Goldstein Subdifferential ALT 2026