Page History

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Date	Presenter	Topic(s)	Resources/Papers	Other activities/ comments
9 2/6/2013 7	Ruben Anshu	General ML	A Few Useful Things to Know about Machine Learning		Scalable Learning	Fast, Accurate Detection of 100,000 Object Classes on a Single Machine	9/12/2013
9/19/2013	Karthik	Active Learning, Crowdsourcing	Tutorial style discussion. Focus on Pairwise Ranking Aggregation in a Crowdsourced Setting	Paul Bennett (AI Seminar)
2/14	Yun	Gaussian Process Latent Variable Models	TBA
2/21	Ian	9/26/2013
10 2/3/2013 28	Adith Ozan	TBA Deep Learning TBA
10 3/10/2013 7	Tobias		Marginalized Denoising Autoencoders for Domain Adaptation
10 3/17/2013 14	Hema Karthik TBA	Interactive Machine Learning	TBA
10 3/24/2013 21	Jason	Generative Stochastic Networks
10 3/31/2013 28	Ashesh	TBA	Ruben	practice talk (www'14)	Was This Review Helpful to You? It Depends! Context and Voting Patterns in Online Content TBA
4/11 /7/2013			Adith	Learning embeddings, Social Networks	DeepWalk: Online Learning of Social Representations
11 4/14/2013 18	Ashesh
11/21/2013
11/28/2013	Thanksgiving break
Proximal Algorithms	Theory, properties and applications (Notes)	Tutorial/Discussion style
4/25	Moontae	Stochastic Embedding	t-Stochastic Neighbor Embedding (Paper)
5/2	Vikram	Multiple-source cross-validation	Multiple-source cross-validation	12/5/2013

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