Summary of Robust Sparse Estimation For Gaussians with Optimal Error Under Huber Contamination, by Ilias Diakonikolas et al.
Robust Sparse Estimation for Gaussians with Optimal Error under Huber Contaminationby Ilias Diakonikolas, Daniel M.…
Summary of When Can We Approximate Wide Contrastive Models with Neural Tangent Kernels and Principal Component Analysis?, by Gautham Govind Anil et al.
When can we Approximate Wide Contrastive Models with Neural Tangent Kernels and Principal Component Analysis?by…
Summary of Knowledge Transfer Across Multiple Principal Component Analysis Studies, by Zeyu Li and Kangxiang Qin and Yong He and Wang Zhou and Xinsheng Zhang
Knowledge Transfer across Multiple Principal Component Analysis Studiesby Zeyu Li, Kangxiang Qin, Yong He, Wang…
Summary of Diffred: Dimensionality Reduction Guided by Stable Rank, By Prarabdh Shukla et al.
DiffRed: Dimensionality Reduction guided by stable rankby Prarabdh Shukla, Gagan Raj Gupta, Kunal DuttaFirst submitted…
Summary of Exploring the Influence Of Dimensionality Reduction on Anomaly Detection Performance in Multivariate Time Series, by Mahsun Altin et al.
Exploring the Influence of Dimensionality Reduction on Anomaly Detection Performance in Multivariate Time Seriesby Mahsun…
Summary of Energy-efficient Edge Learning Via Joint Data Deepening-and-prefetching, by Sujin Kook et al.
Energy-Efficient Edge Learning via Joint Data Deepening-and-Prefetchingby Sujin Kook, Won-Yong Shin, Seong-Lyun Kim, Seung-Woo KoFirst…
Summary of A Universal Non-parametric Approach For Improved Molecular Sequence Analysis, by Sarwan Ali et al.
A Universal Non-Parametric Approach For Improved Molecular Sequence Analysisby Sarwan Ali, Tamkanat E Ali, Prakash…
Summary of From Explained Variance Of Correlated Components to Pca Without Orthogonality Constraints, by Marie Chavent (imb) et al.
From explained variance of correlated components to PCA without orthogonality constraintsby Marie Chavent, Guy ChaventFirst…
Summary of Kernel Pca For Out-of-distribution Detection, by Kun Fang et al.
Kernel PCA for Out-of-Distribution Detectionby Kun Fang, Qinghua Tao, Kexin Lv, Mingzhen He, Xiaolin Huang,…
Summary of Spectrally Transformed Kernel Regression, by Runtian Zhai et al.
Spectrally Transformed Kernel Regressionby Runtian Zhai, Rattana Pukdee, Roger Jin, Maria-Florina Balcan, Pradeep RavikumarFirst submitted…