linear classification

Characterizing Implicit Bias in Terms of Optimization Geometry ICML 2018 COLA: Decentralized Linear Learning NeurIPS 2018 Preconditioned Conjugate Gradient Methods in Truncated Newton Frameworks for Large-scale Linear Classification ACML 2018 A Study on Trust Region Update Rules in Newton Methods for Large-scale Linear Classification ACML 2017 On the Inductive Bias of Dropout JMLR 2015 Rounding Methods for Discrete Linear Classification ICML 2013 A Polylog Pivot Steps Simplex Algorithm for Classification NeurIPS 2012 Efficient Distributed Linear Classification Algorithms via the Alternating Direction Method of Multipliers AISTATS 2012 A Comparison of Optimization Methods and Software for Large-scale L1-regularized Linear Classification JMLR 2010 Exploiting Feature Covariance in High-Dimensional Online Learning AISTATS 2010 LIBLINEAR: A Library for Large Linear Classification JMLR 2008 Linear Classification and Selective Sampling Under Low Noise Conditions NeurIPS 2008 Worst-Case Analysis of Selective Sampling for Linear Classification JMLR 2006 Limitations of Learning Via Embeddings in Euclidean Half Spaces JMLR 2002