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We introduce a natural generalization of submodular set cover and exact active learning with a finite hypothesis class (query learning).
An analysis of the greedy algorithm for the submodular set covering problem
L. Wolsey · 1982
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Submodular Functions and Electrical Networks
H. Narayanan · 1997
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A threshold of ln n for approximating set cover
U. Feige · 1998
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A fast and highly quality multilevel scheme for partitioning irregular graphs
G. Karypis and V. Kumar · 1999
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A theoretical analysis of query selection for collaborative filtering
S. Dasgupta, W. Lee, and P. Long · 2003
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Maximizing the spread of influence through a social network
D. Kempe, J. Kleinberg, and E. Tardos · 2003
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Analysis of a greedy active learning strategy
S. Dasgupta · 2004
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Approximating the stochastic knapsack problem: The benefit of adaptivity
B. Dean, M. Goemans, and J. Vondrak · 2004
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Influential nodes in a diffusion model for social networks
D. Kempe, J. Kleinberg, and E. Tardos · 2005
Cited alongside, same era.
Agnostic active learning
M. Balcan, A. Beygelzimer, and J. Langford · 2006
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Stochastic covering and adaptivity
M. Goemans and J. Vondrák · 2006
Cited alongside, same era.
The cost complexity of interactive learning, 2006
S. Hanneke · 2006
Cited alongside, same era.
A general dimension for query learning
J. Balcázar, J. Castro, D. Guijarro, J. Köbler, and W. Lindner · 2007
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Stochastic submodular maximization
A. Asadpour, H. Nazerzadeh, and A. Saberi · 2008
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Robust submodular observation selection
A. Krause, H. McMahan, C. Guestrin, and A. Gupta · 2008
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An online algorithm for maximizing submodular functions
M. Streeter and D. Golovin · 2008
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Adaptive submodularity: A new approach to active learning and stochastic optimization
D. Golovin and A. Krause · 2010
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Multi-document summarization via budgeted maximization of submodular functions
H. Lin and J. Bilmes · 2010
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