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All publications by Sham Kakade
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Un-regularizing: approximate proximal point and faster stochastic algorithms for empirical risk minimization
Roy Frostig, Rong Ge, Sham Kakade and Aaron Sidford
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


A Linear Dynamical System Model for Text
David Belanger and Sham Kakade
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Least Squares Revisited: Scalable Approaches for Multi-class Prediction
Alekh Agarwal, Sham Kakade, Nikos Karampatziakis, Le Song and Gregory Valiant
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Domain Adaptation with Coupled Subspaces
John Blitzer, Sham Kakade and Dean P. Foster
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Learning Exponential Families in High-Dimensions: Strong Convexity and Sparsity
Sham Kakade, Ohad Shamir, Karthik Sindharan and Ambuj Tewari
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics (AISTATS-10), 2010


Cover trees for nearest neighbor
Alina Beygelzimer, Sham Kakade and John Langford
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Exploration in Metric State Spaces
Sham Kakade, Michael J. Kearns and John Langford
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003