Optimization

AdaRewriter: Unleashing the Power of Prompting-based Conversational Query Reformulation via Test-Time Adaptation EMNLP 2025 AdaV: Adaptive Text-visual Redirection for Vision-Language Models ACL 2025 ADBA: Approximation Decision Boundary Approach for Black-Box Adversarial Attacks AAAI 2025 Addax: Utilizing Zeroth-Order Gradients to Improve Memory Efficiency and Performance of SGD for Fine-Tuning Language Models ICLR 2025 Add-One-In: Incremental Sample Selection for Large Language Models via a Choice-Based Greedy Paradigm EMNLP 2025 Addressing the Training-Inference Discrepancy in Discrete Diffusion for Text Generation COLING 2025 A Decentralized Proximal Gradient Tracking Algorithm for Composite Optimization on Riemannian Manifolds JMLR 2025 A Deep Generative Learning Approach for Two-stage Adaptive Robust Optimization ICLR 2025 ADELA: Accelerating Evolutionary Design of Machine Learning Pipelines with the Accompanying Surrogate Model AAAI 2025 ADHMR: Aligning Diffusion-based Human Mesh Recovery via Direct Preference Optimization ICML 2025 A Differentiable Wave Optics Model for End-to-End Computational Imaging System Optimization ICCV 2025 A Differential Inclusion Approach for Learning Heterogeneous Sparsity in Neuroimaging Analysis AISTATS 2025 Adjoint Matching: Fine-tuning Flow and Diffusion Generative Models with Memoryless Stochastic Optimal Control ICLR 2025 Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching ICML 2025 Adjusted Expected Improvement for Cumulative Regret Minimization in Noisy Bayesian Optimization JMLR 2025 ADMM for Nonconvex Optimization under Minimal Continuity Assumption ICLR 2025 ADMM for Structured Fractional Minimization ICLR 2025 Advancing Constrained Monotonic Neural Networks: Achieving Universal Approximation Beyond Bounded Activations ICML 2025 Advancing Loss Functions in Recommender Systems: A Comparative Study with a Rényi Divergence-Based Solution AAAI 2025 Advancing Text-to-3D Generation with Linearized Lookahead Variational Score Distillation ICCV 2025 Adversarial Data Augmentation for Single Domain Generalization via Lyapunov Exponent-Guided Optimization ICCV 2025 Adversarial Learning Under Hybrid Perturbations for Robust Acute Lymphoblastic Leukemia Classification AAAI 2025 Adversarial Perturbations Are Formed by Iteratively Learning Linear Combinations of the Right Singular Vectors of the Adversarial Jacobian ICML 2025 Adversarial Training for Probabilistic Robustness ICCV 2025 A Dynamic Fusion Model for Consistent Crisis Response EMNLP 2025