Summary of Learning with User-level Local Differential Privacy, by Puning Zhao et al.
Learning with User-Level Local Differential Privacyby Puning Zhao, Li Shen, Rongfei Fan, Qingming Li, Huiwen…
Summary of Kernel-based Optimally Weighted Conformal Prediction Intervals, by Jonghyeok Lee et al.
Kernel-based optimally weighted conformal prediction intervalsby Jonghyeok Lee, Chen Xu, Yao XieFirst submitted to arxiv…
Summary of Hypergraph Laplacian Eigenmaps and Face Recognition Problems, by Loc Hoang Tran
Hypergraph Laplacian Eigenmaps and Face Recognition Problemsby Loc Hoang TranFirst submitted to arxiv on: 27…
Summary of A Unified Law Of Robustness For Bregman Divergence Losses, by Santanu Das et al.
A unified law of robustness for Bregman divergence lossesby Santanu Das, Jatin Batra, Piyush SrivastavaFirst…
Summary of Fast Asymmetric Factorization For Large Scale Multiple Kernel Clustering, by Yan Chen et al.
Fast Asymmetric Factorization for Large Scale Multiple Kernel Clusteringby Yan Chen, Liang Du, Lei DuanFirst…
Summary of A Gpu-accelerated Bi-linear Admm Algorithm For Distributed Sparse Machine Learning, by Alireza Olama et al.
A GPU-Accelerated Bi-linear ADMM Algorithm for Distributed Sparse Machine Learningby Alireza Olama, Andreas Lundell, Jan…
Summary of Learning Accurate and Interpretable Decision Trees, by Maria-florina Balcan and Dravyansh Sharma
Learning accurate and interpretable decision treesby Maria-Florina Balcan, Dravyansh SharmaFirst submitted to arxiv on: 24…
Summary of A Systematic Bias Of Machine Learning Regression Models and Its Correction: An Application to Imaging-based Brain Age Prediction, by Hwiyoung Lee et al.
A Systematic Bias of Machine Learning Regression Models and Its Correction: an Application to Imaging-based…
Summary of Neural Persistence Dynamics, by Sebastian Zeng et al.
Neural Persistence Dynamicsby Sebastian Zeng, Florian Graf, Martin Uray, Stefan Huber, Roland KwittFirst submitted to…
Summary of Dimension-free Deterministic Equivalents and Scaling Laws For Random Feature Regression, by Leonardo Defilippis et al.
Dimension-free deterministic equivalents and scaling laws for random feature regressionby Leonardo Defilippis, Bruno Loureiro, Theodor…