Summary of The Optimality Of (accelerated) Sgd For High-dimensional Quadratic Optimization, by Haihan Zhang et al.
The Optimality of (Accelerated) SGD for High-Dimensional Quadratic Optimizationby Haihan Zhang, Yuanshi Liu, Qianwen Chen,…
Summary of Increasing Both Batch Size and Learning Rate Accelerates Stochastic Gradient Descent, by Hikaru Umeda et al.
Increasing Both Batch Size and Learning Rate Accelerates Stochastic Gradient Descentby Hikaru Umeda, Hideaki IidukaFirst…
Summary of Asymptotics Of Stochastic Gradient Descent with Dropout Regularization in Linear Models, by Jiaqi Li et al.
Asymptotics of Stochastic Gradient Descent with Dropout Regularization in Linear Modelsby Jiaqi Li, Johannes Schmidt-Hieber,…
Summary of Convergence Of Continuous-time Stochastic Gradient Descent with Applications to Linear Deep Neural Networks, by Gabor Lugosi and Eulalia Nualart
Convergence of continuous-time stochastic gradient descent with applications to linear deep neural networksby Gabor Lugosi,…
Summary of Dynamic Decoupling Of Placid Terminal Attractor-based Gradient Descent Algorithm, by Jinwei Zhao (1) et al.
Dynamic Decoupling of Placid Terminal Attractor-based Gradient Descent Algorithmby Jinwei Zhao, Marco Gori, Alessandro Betti,…
Summary of Dynamicfl: Federated Learning with Dynamic Communication Resource Allocation, by Qi Le et al.
DynamicFL: Federated Learning with Dynamic Communication Resource Allocationby Qi Le, Enmao Diao, Xinran Wang, Vahid…
Summary of Ngd Converges to Less Degenerate Solutions Than Sgd, by Moosa Saghir et al.
NGD converges to less degenerate solutions than SGDby Moosa Saghir, N. R. Raghavendra, Zihe Liu,…
Summary of Approximating Metric Magnitude Of Point Sets, by Rayna Andreeva et al.
Approximating Metric Magnitude of Point Setsby Rayna Andreeva, James Ward, Primoz Skraba, Jie Gao, Rik…
Summary of Introduction to Machine Learning, by Laurent Younes
Introduction to Machine Learningby Laurent YounesFirst submitted to arxiv on: 4 Sep 2024CategoriesMain: Machine Learning…
Summary of Bootstrap Sgd: Algorithmic Stability and Robustness, by Andreas Christmann and Yunwen Lei
Bootstrap SGD: Algorithmic Stability and Robustnessby Andreas Christmann, Yunwen LeiFirst submitted to arxiv on: 2…