marginal probability
Reconstructing Parameters of Spreading Models from Partial Observations
Precise conditions for the parameters recovery at a given accuracy are still lacking.
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Polynomial time algorithms for dual volume sampling
Chengtao Li, Stefanie Jegelka, Suvrit Sra
Neural Information Processing Systems http://nips.cc/
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A no-regret generalization of hierarchical softmax to extreme multi-label classification
Marek Wydmuch, Kalina Jasinska, Mikhail Kuznetsov, Róbert Busa-Fekete, Krzysztof Dembczynski
Learning problems of this scale are often referred to as extreme classification .
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From Stochastic Planning to Marginal MAP
Hao(Jackson) Cui, Radu Marinescu, Roni Khardon
Neural Information Processing Systems http://nips.cc/
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Compact Representation of Uncertainty in Clustering
Craig Greenberg, Nicholas Monath, Ari Kobren, Patrick Flaherty, Andrew McGregor, Andrew McCallum
Neural Information Processing Systems http://nips.cc/
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Streamlining Variational Inference for Constraint Satisfaction Problems
Aditya Grover, Tudor Achim, Stefano Ermon
With such a representation, we can design branching strategies by inferring the marginal probabilities of each variable assignment.
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Multilabel reductions: what is my loss optimising?
Aditya K. Menon, Ankit Singh Rawat, Sashank Reddi, Sanjiv Kumar
Neural Information Processing Systems http://nips.cc/
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A no-regret generalization of hierarchical softmax to extreme multi-label classification
Marek Wydmuch, Kalina Jasinska, Mikhail Kuznetsov, Róbert Busa-Fekete, Krzysztof Dembczynski
Learning problems of this scale are often referred to as extreme classification .
- Oceania > Australia > New South Wales > Sydney (0.14)
- Europe > Poland > Greater Poland Province > Poznań (0.05)
- North America > Canada > Quebec > Montreal (0.05)
- (16 more...)
From Stochastic Planning to Marginal MAP
Hao(Jackson) Cui, Radu Marinescu, Roni Khardon
Neural Information Processing Systems http://nips.cc/
- North America > United States > Massachusetts > Middlesex County > Medford (0.04)
- North America > United States > Indiana > Monroe County > Bloomington (0.04)
- North America > Canada (0.04)
- Europe > Ireland > Leinster > County Dublin > Dublin (0.04)
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- Information Technology > Artificial Intelligence > Representation & Reasoning > Search (1.00)
- Information Technology > Artificial Intelligence > Machine Learning > Learning Graphical Models > Directed Networks > Bayesian Learning (0.95)
Compact Representation of Uncertainty in Clustering
Craig Greenberg, Nicholas Monath, Ari Kobren, Patrick Flaherty, Andrew McGregor, Andrew McCallum
Neural Information Processing Systems http://nips.cc/
- North America > United States > Massachusetts > Hampshire County > Amherst (0.04)
- North America > Canada > Quebec > Montreal (0.04)