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11/04/2014
Expectation-Maximization for Learning Determinantal Point Processes
A determinantal point process (DPP) is a probabilistic model of set dive...
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02/20/2014
Learning the Parameters of Determinantal Point Process Kernels
Determinantal point processes (DPPs) are well-suited for modeling repuls...
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11/12/2013
Approximate Inference in Continuous Determinantal Point Processes
Determinantal point processes (DPPs) are random point processes well-sui...
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12/12/2012
Discriminative Probabilistic Models for Relational Data
In many supervised learning tasks, the entities to be labeled are relate...
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08/06/2012
Structured Prediction Cascades
Structured prediction tasks pose a fundamental trade-off between the nee...
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07/25/2012
Determinantal point processes for machine learning
Determinantal point processes (DPPs) are elegant probabilistic models of...
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06/20/2012
Mixture-of-Parents Maximum Entropy Markov Models
We present the mixture-of-parents maximum entropy Markov model (MoP-MEMM...
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02/14/2012