gradient descent

Fixing by Mixing: A Recipe for Optimal Byzantine ML under Heterogeneity AISTATS 2023 Flexible risk design using bi-directional dispersion AISTATS 2023 Forget Unlearning: Towards True Data-Deletion in Machine Learning ICML 2023 From Noisy Fixed-Point Iterations to Private ADMM for Centralized and Federated Learning ICML 2023 From Perception to Programs: Regularize, Overparameterize, and Amortize ICML 2023 Fundamental Limits of Two-layer Autoencoders, and Achieving Them with Gradient Methods ICML 2023 Generalized-Smooth Nonconvex Optimization is As Efficient As Smooth Nonconvex Optimization ICML 2023 Generalized Teacher Forcing for Learning Chaotic Dynamics ICML 2023 Generator Born from Classifier NeurIPS 2023 Global Convergence of Over-parameterized Deep Equilibrium Models AISTATS 2023 Global optimality of Elman-type RNNs in the mean-field regime ICML 2023 Gradient-Adaptive Pareto Optimization for Constrained Reinforcement Learning AAAI 2023 Gradient-Based Mixed Planning with Symbolic and Numeric Action Parameters (Extended Abstract) IJCAI 2023 Gradient Descent Converges Linearly for Logistic Regression on Separable Data ICML 2023 Gradient Descent Finds the Global Optima of Two-Layer Physics-Informed Neural Networks ICML 2023 Gradient Descent in Neural Networks as Sequential Learning in Reproducing Kernel Banach Space ICML 2023 Gradient Descent Monotonically Decreases the Sharpness of Gradient Flow Solutions in Scalar Networks and Beyond ICML 2023 Gradient Descent with Linearly Correlated Noise: Theory and Applications to Differential Privacy NeurIPS 2023 Gradient Flossing: Improving Gradient Descent through Dynamic Control of Jacobians NeurIPS 2023 GradMA: A Gradient-Memory-Based Accelerated Federated Learning With Alleviated Catastrophic Forgetting CVPR 2023 Grad-PU: Arbitrary-Scale Point Cloud Upsampling via Gradient Descent With Learned Distance Functions CVPR 2023 HOUDINI: Escaping from Moderately Constrained Saddles IJCAI 2023 How Does Adaptive Optimization Impact Local Neural Network Geometry? NeurIPS 2023 How Sharpness-Aware Minimization Minimizes Sharpness? ICLR 2023 Implicit Balancing and Regularization: Generalization and Convergence Guarantees for Overparameterized Asymmetric Matrix Sensing COLT 2023