Oblivious sketching for logistic regression

14 July 2021

Papers citing "Oblivious sketching for logistic regression"

10 / 10 papers shown

Title
Subspace Embeddings Under Nonlinear Transformations Aarshvi Gajjar Cameron Musco 30 5 0 05 Oct 2020
Training (Overparametrized) Neural Networks in Near-Linear Time Jan van den Brand Binghui Peng Zhao Song Omri Weinstein ODL 55 83 0 20 Jun 2020
Coresets for Near-Convex Functions M. Tukan Alaa Maalouf Dan Feldman 56 43 0 09 Jun 2020
Streaming Coresets for Symmetric Tensor Factorization Rachit Chhaya Jayesh Choudhari A. Dasgupta Supratim Shit 125 14 0 01 Jun 2020
Random Projections and Sampling Algorithms for Clustering of High-Dimensional Polygonal Curves Stefan Meintrup Alexander Munteanu Dennis Rohde 118 11 0 16 Jul 2019
Dimensionality Reduction for Tukey Regression K. Clarkson Ruosong Wang David P. Woodruff 46 33 0 14 May 2019
On Coresets for Logistic Regression Alexander Munteanu Chris Schwiegelshohn C. Sohler David P. Woodruff 55 110 0 22 May 2018
Coresets for Scalable Bayesian Logistic Regression Jonathan H. Huggins Trevor Campbell Tamara Broderick 54 218 0 20 May 2016
Random projections for Bayesian regression Leo N. Geppert K. Ickstadt Alexander Munteanu Jens Quedenfeld C. Sohler 53 46 0 23 Apr 2015
Principal Component Analysis and Higher Correlations for Distributed Data R. Kannan Santosh Vempala David P. Woodruff 85 87 0 10 Apr 2013