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 Enhancing Deep Learning with Optimized Gradient Descent: Bridging Numerical Methods and Neural Network Training, by Yuhan Ma et al.
Enhancing Deep Learning with Optimized Gradient Descent: Bridging Numerical Methods and Neural Network Trainingby Yuhan…
Summary of Improving Adaptivity Via Over-parameterization in Sequence Models, by Yicheng Li et al.
Improving Adaptivity via Over-Parameterization in Sequence Modelsby Yicheng Li, Qian LinFirst submitted to arxiv on:…
Summary of Ensloss: Stochastic Calibrated Loss Ensembles For Preventing Overfitting in Classification, by Ben Dai
EnsLoss: Stochastic Calibrated Loss Ensembles for Preventing Overfitting in Classificationby Ben DaiFirst submitted to arxiv…
Summary of Analyzing Inference Privacy Risks Through Gradients in Machine Learning, by Zhuohang Li et al.
Analyzing Inference Privacy Risks Through Gradients in Machine Learningby Zhuohang Li, Andrew Lowy, Jing Liu,…
Summary of Negative Binomial Matrix Completion, by Yu Lu et al.
Negative Binomial Matrix Completionby Yu Lu, Kevin Bui, Roummel F. MarciaFirst submitted to arxiv on:…
Summary of Thinner Latent Spaces: Detecting Dimension and Imposing Invariance Through Autoencoder Gradient Constraints, by George A. Kevrekidis et al.
Thinner Latent Spaces: Detecting dimension and imposing invariance through autoencoder gradient constraintsby George A. Kevrekidis,…
Summary of Optimal Layer Selection For Latent Data Augmentation, by Tomoumi Takase et al.
Optimal Layer Selection for Latent Data Augmentationby Tomoumi Takase, Ryo KarakidaFirst submitted to arxiv on:…
Summary of Distributed Quasi-newton Robust Estimation Under Differential Privacy, by Chuhan Wang et al.
Distributed quasi-Newton robust estimation under differential privacyby Chuhan Wang, Lixing Zhu, Xuehu ZhuFirst submitted to…
Summary of Two-timescale Gradient Descent Ascent Algorithms For Nonconvex Minimax Optimization, by Tianyi Lin et al.
Two-Timescale Gradient Descent Ascent Algorithms for Nonconvex Minimax Optimizationby Tianyi Lin, Chi Jin, Michael. I.…