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Technology:
An Embedding Framework for Consistent Polyhedral Surrogates
Jessica Finocchiaro, Rafael Frongillo, Bo Waggoner
Neural Information Processing Systems http://nips.cc/
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- North America > Canada (0.04)
- Europe > United Kingdom > England > Cambridgeshire > Cambridge (0.04)
- Asia > Middle East > Jordan (0.04)
Technology: Information Technology > Artificial Intelligence > Machine Learning > Neural Networks (0.94)
A Limitation of the PAC-Bayes Framework
This framework has the flexibility of deriving distribution-and algorithm-dependent bounds, which are often tighter than VC-related uniform convergence bounds.
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- North America > United States > Arizona > Maricopa County > Phoenix (0.04)
- North America > Canada (0.04)
- Europe > United Kingdom > England > Cambridgeshire > Cambridge (0.04)
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Weston-Watkins Hinge Loss and Ordered Partitions
WW hinge loss and so on.
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- North America > United States > Michigan (0.04)
- Asia > Middle East > Jordan (0.04)
- North America > United States > Massachusetts > Middlesex County > Belmont (0.04)
- North America > Canada (0.04)
Learning Attractor Dynamics for Generative Memory
Yan Wu, Gregory Wayne, Karol Gregor, Timothy Lillicrap
These mechanisms typically retrieve items in a single step and are fixed after training.
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- Asia > Middle East > Jordan (0.04)
- North America > Canada > Quebec > Montreal (0.04)
- Europe > United Kingdom > England > Cambridgeshire > Cambridge (0.04)
Technology:
- Information Technology > Artificial Intelligence > Machine Learning > Neural Networks > Deep Learning (1.00)
- Information Technology > Artificial Intelligence > Machine Learning > Learning Graphical Models (0.93)
- Information Technology > Artificial Intelligence > Natural Language (0.69)
- Information Technology > Artificial Intelligence > Representation & Reasoning > Uncertainty (0.68)
Country:
- Europe > United Kingdom > England > Cambridgeshire > Cambridge (0.04)
- Europe > Denmark (0.04)
- Asia > Middle East > Jordan (0.04)
- Africa > Senegal > Kolda Region > Kolda (0.04)
Technology:
An Embedding Framework for Consistent Polyhedral Surrogates
Jessica Finocchiaro, Rafael Frongillo, Bo Waggoner
We formalize and study the natural approach of designing convex surrogate loss functions via embeddings for problems such as classification or ranking.
Country:
- North America > Canada (0.04)
- Europe > United Kingdom > England > Cambridgeshire > Cambridge (0.04)
- Asia > Middle East > Jordan (0.04)