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…
Summary of Continual Learning with the Neural Tangent Ensemble, by Ari S. Benjamin et al.
Continual learning with the neural tangent ensembleby Ari S. Benjamin, Christian Pehle, Kyle DaruwallaFirst submitted…
Summary of High-dimensional Sparse Data Low-rank Representation Via Accelerated Asynchronous Parallel Stochastic Gradient Descent, by Qicong Hu and Hao Wu
High-Dimensional Sparse Data Low-rank Representation via Accelerated Asynchronous Parallel Stochastic Gradient Descentby Qicong Hu, Hao…
Summary of Differentially Private Stochastic Gradient Descent with Fixed-size Minibatches: Tighter Rdp Guarantees with or Without Replacement, by Jeremiah Birrell et al.
Differentially Private Stochastic Gradient Descent with Fixed-Size Minibatches: Tighter RDP Guarantees with or without Replacementby…
Summary of Improvement Of Bayesian Pinn Training Convergence in Solving Multi-scale Pdes with Noise, by Yilong Hou et al.
Improvement of Bayesian PINN Training Convergence in Solving Multi-scale PDEs with Noiseby Yilong Hou, Xi'an…
Summary of Deep Learning with Data Privacy Via Residual Perturbation, by Wenqi Tao et al.
Deep Learning with Data Privacy via Residual Perturbationby Wenqi Tao, Huaming Ling, Zuoqiang Shi, Bao…
Summary of Incremental Gauss-newton Descent For Machine Learning, by Mikalai Korbit and Mario Zanon
Incremental Gauss-Newton Descent for Machine Learningby Mikalai Korbit, Mario ZanonFirst submitted to arxiv on: 10…
Summary of Dive: Subgraph Disagreement For Graph Out-of-distribution Generalization, by Xin Sun et al.
DIVE: Subgraph Disagreement for Graph Out-of-Distribution Generalizationby Xin Sun, Liang Wang, Qiang Liu, Shu Wu,…
Summary of Optimizing Cox Models with Stochastic Gradient Descent: Theoretical Foundations and Practical Guidances, by Lang Zeng et al.
Optimizing Cox Models with Stochastic Gradient Descent: Theoretical Foundations and Practical Guidancesby Lang Zeng, Weijing…
Summary of Can Llms Predict the Convergence Of Stochastic Gradient Descent?, by Oussama Zekri et al.
Can LLMs predict the convergence of Stochastic Gradient Descent?by Oussama Zekri, Abdelhakim Benechehab, Ievgen RedkoFirst…