gradient descent

The Directionality of Optimization Trajectories in Neural Networks ICLR 2025 Theory of Agreement-on-the-Line in Linear Models and Gaussian Data AISTATS 2025 The Power of Random Features and the Limits of Distribution-Free Gradient Descent ICML 2025 The Utility and Complexity of In- and Out-of-Distribution Machine Unlearning ICLR 2025 Three Mechanisms of Feature Learning in a Linear Network ICLR 2025 Tighter Privacy Auditing of DP-SGD in the Hidden State Threat Model ICLR 2025 Tilted Quantile Gradient Updates for Quantile-Constrained Reinforcement Learning AAAI 2025 Toward a Unified Theory of Gradient Descent under Generalized Smoothness ICML 2025 Towards Learning High-Precision Least Squares Algorithms with Sequence Models ICLR 2025 Towards Source-Free Machine Unlearning CVPR 2025 Training Dynamics of In-Context Learning in Linear Attention ICML 2025 Transformers Learn to Implement Multi-step Gradient Descent with Chain of Thought ICLR 2025 UltraTWD: Optimizing Ultrametric Trees for Tree-Wasserstein Distance ICML 2025 Understanding Warmup-Stable-Decay Learning Rates: A River Valley Loss Landscape View ICLR 2025 Unity in Diversity: Video Editing via Gradient-Latent Purification CVPR 2025 Unlearning Concepts in Diffusion Model via Concept Domain Correction and Concept Preserving Gradient AAAI 2025 Unleashing the Potential of Large Language Models as Prompt Optimizers: Analogical Analysis with Gradient-based Model Optimizers AAAI 2025 User Preference Meets Pareto-Optimality in Multi-Objective Bayesian Optimization AAAI 2025 Wide Neural Networks Trained with Weight Decay Provably Exhibit Neural Collapse ICLR 2025 Widening the Network Mitigates the Impact of Data Heterogeneity on FedAvg ICML 2025 Α Descent-based Method on the Duality Gap for Solving Zero-sum Games IJCAI 2025 Acceleration and Implicit Regularization in Gaussian Phase Retrieval AISTATS 2024 Adaptive Proximal Gradient Method for Convex Optimization NeurIPS 2024 Adaptive Time-Stepping Schedules for Diffusion Models UAI 2024 Addressing Loss of Plasticity and Catastrophic Forgetting in Continual Learning ICLR 2024