Algorithms · Components Analysis (e.g. CCA ICA LDA PCA)

TitleAuthors
Backpropagation-Friendly EigendecompositionWei Wang · Zheng Dang · Yinlin Hu · Pascal Fua · Mathieu Salzmann
Learning-Based Low-Rank ApproximationsPiotr Indyk · Ali Vakilian · Yang Yuan
Likelihood-Free Overcomplete ICA and Applications In Causal DiscoveryChenwei DING · Mingming Gong · Kun Zhang · Dacheng Tao
Sobolev Independence CriterionYoussef Mroueh · Tom Sercu · Mattia Rigotti · Inkit Padhi · Cicero Nogueira dos Santos
Towards a Zero-One Law for Column Subset SelectionZhao Song · David Woodruff · Peilin Zhong
Average Case Column Subset Selection for Entrywise \ell_1-Norm LossZhao Song · David Woodruff · Peilin Zhong
On Distributed Averaging for Stochastic k-PCAAditya Bhaskara · Pruthuvi Maheshakya Wijewardena
On Robustness of Principal Component RegressionAnish Agarwal · Devavrat Shah · Dennis Shen · Dogyoon Song
Towards Practical Alternating Least-Squares for CCAZhiqiang Xu · Ping Li
Unsupervised Discovery of Temporal Structure in Noisy Data with Dynamical Components AnalysisDavid Clark · Jesse Livezey · Kristofer Bouchard