gradient descent

Robust Combination of Distributed Gradients Under Adversarial Perturbations CVPR 2022 Robust Meta-learning with Sampling Noise and Label Noise via Eigen-Reptile ICML 2022 Scaling and Scalability: Provable Nonconvex Low-Rank Tensor Completion AISTATS 2022 Sharp Restricted Isometry Property Bounds for Low-Rank Matrix Recovery Problems with Corrupted Measurements AAAI 2022 Single Loop Gaussian Homotopy Method for Non-convex Optimization NeurIPS 2022 Sobolev Acceleration and Statistical Optimality for Learning Elliptic Equations via Gradient Descent NeurIPS 2022 Stochastic Variance Reduced Ensemble Adversarial Attack for Boosting the Adversarial Transferability CVPR 2022 Super-Acceleration with Cyclical Step-sizes AISTATS 2022 Surprising Instabilities in Training Deep Networks and a Theoretical Analysis NeurIPS 2022 Surrogate Gap Minimization Improves Sharpness-Aware Training ICLR 2022 Symmetry Teleportation for Accelerated Optimization NeurIPS 2022 Temporal Efficient Training of Spiking Neural Network via Gradient Re-weighting ICLR 2022 The Curse of Unrolling: Rate of Differentiating Through Optimization NeurIPS 2022 The Dual Form of Neural Networks Revisited: Connecting Test Time Predictions to Training Patterns via Spotlights of Attention ICML 2022 The First Optimal Algorithm for Smooth and Strongly-Convex-Strongly-Concave Minimax Optimization NeurIPS 2022 The Implicit Bias of Benign Overfitting COLT 2022 The Mechanism of Prediction Head in Non-contrastive Self-supervised Learning NeurIPS 2022 The Query Complexity of Local Search and Brouwer in Rounds COLT 2022 Thinking Outside the Ball: Optimal Learning with Gradient Descent for Generalized Linear Stochastic Convex Optimization NeurIPS 2022 Toward Equation of Motion for Deep Neural Networks: Continuous-time Gradient Descent and Discretization Error Analysis NeurIPS 2022 Towards Efficient and Scalable Sharpness-Aware Minimization CVPR 2022 Towards Practical Adam: Non-Convexity, Convergence Theory, and Mini-Batch Acceleration JMLR 2022 Towards Statistical and Computational Complexities of Polyak Step Size Gradient Descent AISTATS 2022 Towards Theoretically Inspired Neural Initialization Optimization NeurIPS 2022 Towards Understanding Sharpness-Aware Minimization ICML 2022