37 citations · 65 across the 8 of their papers we have counts for
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3 papers · 1 filter
cs.LG2015★ 2 cited
Statistical Learning under Nonstationary Mixing Processes
Steve Hanneke, Liu Yang
We study a special case of the problem of statistical learning without the i.i.d. assumption. Specifically, we suppose a learning method is presented with a sequence of data points…
cs.LG2015★ 1 cited
Bounds on the Minimax Rate for Estimating a Prior over a VC Class from Independent Learning Tasks
Liu Yang, Steve Hanneke, Jaime Carbonell
We study the optimal rates of convergence for estimating a prior distribution over a VC class from a sequence of independent data sets respectively labeled by independent target fu…
cs.LG2015★ 4 cited
Learning with a Drifting Target Concept
Steve Hanneke, Varun Kanade, Liu Yang
We study the problem of learning in the presence of a drifting target concept. Specifically, we provide bounds on the error rate at a given time, given a learner with access to a h…