Page History

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Date	Topic	Paper	Discussion Leader
4/5	Metric Learning	Robust Structural Metric Learning	Karthik
3/29	Metric Learning	A Geometric Take on Metric Learning	Ozan
3/15	Submodularity	An Online Algorithm for Maximizing Submodular Functions	Karthik
3/08	Large-Scale Learning	Random Features for Large-Scale Kernel Machines	Anshumali
3/01	Large-Scale Learning	Scaling Up Coordinate Descent Algorithms for Large L_1 Regularization Problems	Ashesh
2/22	Causal Learning	On causal and anticausal learning	Chenhao
2/15	Submodularity	Algorithms for Approximate Minimization of the Difference	Ruben
2/8	Large-Scale Learning	Block Splitting for Large-Scale Distributed Learning	Moontae

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