gradient descent

On the Training Convergence of Transformers for In-Context Classification of Gaussian Mixtures ICML 2025 Optimization for Neural Operators can Benefit from Width ICML 2025 Optimization Over a Probability Simplex JMLR 2025 Optimizing Neural Network Training and Quantization with Rooted Logistic Objectives AISTATS 2025 Optimizing Noise Distributions for Differential Privacy ICML 2025 Provable In-Context Vector Arithmetic via Retrieving Task Concepts ICML 2025 PSMGD: Periodic Stochastic Multi-Gradient Descent for Fast Multi-Objective Optimization AAAI 2025 QP Based Constrained Optimization for Reliable PINN Training L4DC 2025 Random Pruning Over-parameterized Neural Networks Can Improve Generalization: A Training Dynamics Analysis JMLR 2025 Rethinking Temporal Fusion with a Unified Gradient Descent View for 3D Semantic Occupancy Prediction CVPR 2025 Rethinking the generalization of drug target affinity prediction algorithms via similarity aware evaluation ICLR 2025 Reversed Attention: On The Gradient Descent Of Attention Layers In GPT NAACL 2025 SAMO: A Lightweight Sharpness-Aware Approach for Multi-Task Optimization with Joint Global-Local Perturbation ICCV 2025 SemAlign3D: Semantic Correspondence between RGB-Images through Aligning 3D Object-Class Representations CVPR 2025 Sharper Guarantees for Learning Neural Network Classifiers with Gradient Methods ICLR 2025 Sharp Generalization for Nonparametric Regression by Over-Parameterized Neural Networks: A Distribution-Free Analysis in Spherical Covariate ICML 2025 SLASH: Self-Supervised Speech Pitch Estimation Leveraging DSP-derived Absolute Pitch Interspeech 2025 Stabilizing Sharpness-Aware Minimization Through A Simple Renormalization Strategy JMLR 2025 StableMDS: A Novel Gradient Descent-Based Method for Stabilizing and Accelerating Weighted Multidimensional Scaling AISTATS 2025 SVasP: Self-Versatility Adversarial Style Perturbation for Cross-Domain Few-Shot Learning AAAI 2025 Task Descriptors Help Transformers Learn Linear Models In-Context ICLR 2025 Task-Specific Preconditioner for Cross-Domain Few-Shot Learning AAAI 2025 Temporal Difference Learning: Why It Can Be Fast and How It Will Be Faster ICLR 2025 The Adaptive Complexity of Finding a Stationary Point COLT 2025 The Dimension Strikes Back with Gradients: Generalization of Gradient Methods in Stochastic Convex Optimization ALT 2025