gradient descent

TweezeEdit: Consistent and Efficient Image Editing with Path Regularization AAAI 2026 When Both Layers Learn: Training Dynamics of Representing Linear Models via ReLU Networks COLT 2026 Accelerated Methods for Riemannian Min-Max Optimization Ensuring Bounded Geometric Penalties AISTATS 2025 Accelerated Over-Relaxation Heavy-Ball Method: Achieving Global Accelerated Convergence with Broad Generalization ICLR 2025 Accelerating optimization over the space of probability measures JMLR 2025 A Coefficient Makes SVRG Effective ICLR 2025 AdaGrad under Anisotropic Smoothness ICLR 2025 AdamS: Momentum Itself Can Be A Normalizer for LLM Pretraining and Post-training EMNLP 2025 Adaptive backtracking line search ICLR 2025 Adaptive Gradient Clipping for Robust Federated Learning ICLR 2025 Adversarial Training Can Provably Improve Robustness: Theoretical Analysis of Feature Learning Process Under Structured Data ICLR 2025 ANaGRAM: A Natural Gradient Relative to Adapted Model for efficient PINNs learning ICLR 2025 A New Random Reshuffling Method for Nonsmooth Nonconvex Finite-sum Optimization JMLR 2025 Anytime Acceleration of Gradient Descent COLT 2025 A Random Matrix Theory Perspective on the Spectrum of Learned Features and Asymptotic Generalization Capabilities AISTATS 2025 Armijo Line-search Can Make (Stochastic) Gradient Descent Provably Faster ICML 2025 Asymptotic Analysis of Two-Layer Neural Networks after One Gradient Step under Gaussian Mixtures Data with Structure ICLR 2025 A Theoretical Analysis of Soft-Label vs Hard-Label Training in Neural Networks L4DC 2025 Backdoor Attacks in Token Selection of Attention Mechanism ICML 2025 Balanced Rate-Distortion Optimization in Learned Image Compression CVPR 2025 Benefits of Early Stopping in Gradient Descent for Overparameterized Logistic Regression ICML 2025 Beyond Local Sharpness: Communication-Efficient Global Sharpness-aware Minimization for Federated Learning CVPR 2025 Beyond Monotonicity: On the Convergence of Learning Algorithms in Standard Auction Games AAAI 2025 Boosting Causal Additive Models JMLR 2025 Can In-context Learning Really Generalize to Out-of-distribution Tasks? ICLR 2025