Optimization

Adaptive backtracking line search ICLR 2025 Adaptive Batch Size for Privately Finding Second-Order Stationary Points ICLR 2025 Adaptive Caching for Faster Video Generation with Diffusion Transformers ICCV 2025 Adaptive Calibration: A Unified Conversion Framework of Spiking Neural Networks AAAI 2025 Adaptive Data Optimization: Dynamic Sample Selection with Scaling Laws ICLR 2025 Adaptive Dataset Quantization AAAI 2025 Adaptive Draft-Verification for Efficient Large Language Model Decoding AAAI 2025 Adaptive Dual Guidance Knowledge Distillation AAAI 2025 Adaptive Exploration for Multi-Reward Multi-Policy Evaluation ICML 2025 Adaptive Extragradient Methods for Root-finding Problems under Relaxed Assumptions AISTATS 2025 Adaptive Gradient Clipping for Robust Federated Learning ICLR 2025 Adaptive Graph Unlearning IJCAI 2025 Adaptive Guidance: Training-free Acceleration of Conditional Diffusion Models AAAI 2025 Adaptive Keyframe Sampling for Long Video Understanding CVPR 2025 Adaptive LLM Routing under Budget Constraints EMNLP 2025 Adaptive Localization of Knowledge Negation for Continual LLM Unlearning ICML 2025 Adaptive Multi-Scale Decomposition Framework for Time Series Forecasting AAAI 2025 Adaptive Non-Uniform Timestep Sampling for Accelerating Diffusion Model Training CVPR 2025 Adaptive Partitioning Schemes for Optimistic Optimization ICML 2025 Adaptive Preference Optimization with Uncertainty-aware Utility Anchor EMNLP 2025 Adaptive Pruning of Pretrained Transformer via Differential Inclusions ICLR 2025 Adaptive Sample Sharing for Multi Agent Linear Bandits ICML 2025 Adaptive Siamese Masked Autoencoder with Global Optimization for Unsupervised Point Cloud Shape Correspondence AAAI 2025 AdaptThink: Reasoning Models Can Learn When to Think EMNLP 2025 AdaR: An Adaptive Gradient Method with Cyclical Restarting of Moment Estimations IJCAI 2025