Markov Models
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Attentive State-Space Modeling of Disease Progression
Ahmed M. Alaa, Mihaela van der Schaar
Neural Information Processing Systems
Models of disease progression are instrumental forpredictingpatient outcomes and understandingdisease dynamics. Existing models provide the patient with pragmatic (supervised) predictions of risk, but do not provide the clinician with intelligible (unsupervised) representations ofdiseasepathology.
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RUDDER: Return Decomposition for Delayed Rewards
Jose A. Arjona-Medina, Michael Gillhofer, Michael Widrich, Thomas Unterthiner, Johannes Brandstetter, Sepp Hochreiter
Neural Information Processing Systems
Neural Information Processing Systems http://nips.cc/
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A Bayesian Theory of Conformity in Collective Decision Making
Koosha Khalvati, Saghar Mirbagheri, Seongmin A. Park, Jean-Claude Dreher, Rajesh PN Rao
Neural Information Processing Systems
Neural Information Processing Systems http://nips.cc/
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