gradient descent

Continuous Time Analysis of Momentum Methods JMLR 2021 Continuous vs. Discrete Optimization of Deep Neural Networks NeurIPS 2021 Convergence and Alignment of Gradient Descent with Random Backpropagation Weights NeurIPS 2021 Convergence of adaptive algorithms for constrained weakly convex optimization NeurIPS 2021 Coping with Label Shift via Distributionally Robust Optimisation ICLR 2021 Corrected CBOW Performs as well as Skip-gram EMNLP 2021 Cross-Gradient Aggregation for Decentralized Learning from Non-IID Data ICML 2021 Data-Efficient Alignment of Multimodal Sequences by Aligning Gradient Updates and Internal Feature Distributions WACV 2021 DDSAS: Dynamic and Differentiable Space-Architecture Search ACML 2021 Decentralized Riemannian Gradient Descent on the Stiefel Manifold ICML 2021 Differentiable Learning Under Triage NeurIPS 2021 Differentiable Sorting Networks for Scalable Sorting and Ranking Supervision ICML 2021 Differentiable Spike: Rethinking Gradient-Descent for Training Spiking Neural Networks NeurIPS 2021 Differentially Private Stochastic Coordinate Descent AAAI 2021 Discretization Drift in Two-Player Games ICML 2021 Do not Let Privacy Overbill Utility: Gradient Embedding Perturbation for Private Learning ICLR 2021 Dueling Convex Optimization ICML 2021 Early-stopped neural networks are consistent NeurIPS 2021 Effects of Parameter Norm Growth During Transformer Training: Inductive Bias from Gradient Descent EMNLP 2021 EigenGame: PCA as a Nash Equilibrium ICLR 2021 Enhancing Parameter-Free Frank Wolfe with an Extra Subproblem AAAI 2021 Enhancing the Transferability of Adversarial Attacks Through Variance Tuning CVPR 2021 Entropic gradient descent algorithms and wide flat minima ICLR 2021 Escape saddle points by a simple gradient-descent based algorithm NeurIPS 2021 Explicit loss asymptotics in the gradient descent training of neural networks NeurIPS 2021