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On Top-k Selection in Multi-Armed Bandits and Hidden Bipartite Graphs
Top-k Selection Multi-Armed Bandits Hidden Bipartite Graphs
2016/1/22
This paper discusses how to efficiently choose from n unknown distributions the k ones whose means are the greatest by a certain metric, up to a small relative error.We study the topic under two stand...
Metric selection in fast dual forward backward splitting
The gradient data optimization index space
2015/8/7
The performance of fast forward-backward splitting, or equivalently fast proximal gradient methods, is susceptible to conditioning of the optimization problem data. This conditioning is related to a m...
Query-Dependent Selection of Retrieval Alternatives
Information Retrieval Learning to Rank Machine Learning
2014/12/18
The main goal of this thesis is to investigate query-dependent selection of retrieval alternatives for Information Retrieval (IR) systems. Retrieval alternatives include choices in representing querie...
Subset Selection for Gaussian Markov Random Fields
Subset Selection Gaussian Markov Random Fields
2012/9/26
Given a Gaussian Markov random field, we consider the problem of selecting a subset of variables to observe which minimizes the total expected squared prediction error of the unobserved variables. We ...