Least Squares Revisited: Scalable Approaches for Multi-class Prediction

7 October 2013

Papers citing "Least Squares Revisited: Scalable Approaches for Multi-class Prediction"

9 / 9 papers shown

Title
Moment-Based Adjustments of Statistical Inference in High-Dimensional Generalized Linear Models Kazuma Sawaya Yoshimasa Uematsu Masaaki Imaizumi 34 2 0 28 May 2023
Simultaneous Learning of Trees and Representations for Extreme Classification and Density Estimation Yacine Jernite A. Choromańska David Sontag 25 35 0 14 Oct 2016
Fast Label Embeddings for Extremely Large Output Spaces Paul Mineiro Nikos Karampatziakis 32 29 0 30 Mar 2015
Learning Reductions that Really Work A. Beygelzimer Hal Daumé John Langford Paul Mineiro AI4CE 23 24 0 09 Feb 2015
Provable Tensor Methods for Learning Mixtures of Generalized Linear Models Hanie Sedghi Majid Janzamin Anima Anandkumar 43 15 0 09 Dec 2014
Vision and Learning for Deliberative Monocular Cluttered Flight Debadeepta Dey Kumar Shaurya Shankar S. Zeng Rupeshkumar Mehta M. T. Agcayazi Christopher Eriksen S. Daftry M. Hebert J. Andrew Bagnell 16 56 0 24 Nov 2014
Scalable Kernel Methods via Doubly Stochastic Gradients Bo Dai Bo Xie Niao He Yingyu Liang Anant Raj Maria-Florina Balcan Le Song 38 227 0 21 Jul 2014
Logarithmic Time Online Multiclass prediction A. Choromańska John Langford 41 78 0 06 Jun 2014
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 266 7,638 0 03 Jul 2012