Summary of A Local Squared Wasserstein-2 Method For Efficient Reconstruction Of Models with Uncertainty, by Mingtao Xia et al.
A local squared Wasserstein-2 method for efficient reconstruction of models with uncertaintyby Mingtao Xia, Qijing…
Summary of A Statistical Theory Of Regularization-based Continual Learning, by Xuyang Zhao et al.
A Statistical Theory of Regularization-Based Continual Learningby Xuyang Zhao, Huiyuan Wang, Weiran Huang, Wei LinFirst…
Summary of On Regularization Via Early Stopping For Least Squares Regression, by Rishi Sonthalia and Jackie Lok and Elizaveta Rebrova
On Regularization via Early Stopping for Least Squares Regressionby Rishi Sonthalia, Jackie Lok, Elizaveta RebrovaFirst…
Summary of Agnostic Learning Of Mixed Linear Regressions with Em and Am Algorithms, by Avishek Ghosh and Arya Mazumdar
Agnostic Learning of Mixed Linear Regressions with EM and AM Algorithmsby Avishek Ghosh, Arya MazumdarFirst…
Summary of Reconstruction Attacks on Machine Unlearning: Simple Models Are Vulnerable, by Martin Bertran et al.
Reconstruction Attacks on Machine Unlearning: Simple Models are Vulnerableby Martin Bertran, Shuai Tang, Michael Kearns,…
Summary of Why Larger Language Models Do In-context Learning Differently?, by Zhenmei Shi et al.
Why Larger Language Models Do In-context Learning Differently?by Zhenmei Shi, Junyi Wei, Zhuoyan Xu, Yingyu…
Summary of Does Learning the Right Latent Variables Necessarily Improve In-context Learning?, by Sarthak Mittal et al.
Does learning the right latent variables necessarily improve in-context learning?by Sarthak Mittal, Eric Elmoznino, Leo…
Summary of Online Linear Regression in Dynamic Environments Via Discounting, by Andrew Jacobsen and Ashok Cutkosky
Online Linear Regression in Dynamic Environments via Discountingby Andrew Jacobsen, Ashok CutkoskyFirst submitted to arxiv…
Summary of Multi-armed Bandits with Network Interference, by Abhineet Agarwal et al.
Multi-Armed Bandits with Network Interferenceby Abhineet Agarwal, Anish Agarwal, Lorenzo Masoero, Justin WhitehouseFirst submitted to…
Summary of Unveiling the Cycloid Trajectory Of Em Iterations in Mixed Linear Regression, by Zhankun Luo et al.
Unveiling the Cycloid Trajectory of EM Iterations in Mixed Linear Regressionby Zhankun Luo, Abolfazl HashemiFirst…