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Deciding What to Model: Value-Equivalent Sampling for Reinforcement Learning
Neural Information Processing Systems
In this section, we provide brief background on information theory and details on our notation.
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- North America > United States > Massachusetts > Middlesex County > Cambridge (0.14)
- North America > United States > California > Santa Clara County > Palo Alto (0.04)
- Europe > Romania > Sud-Est Development Region > Tulcea County > Tulcea (0.04)
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- Information Technology > Artificial Intelligence > Representation & Reasoning (1.00)
- Information Technology > Artificial Intelligence > Machine Learning > Reinforcement Learning (1.00)
- Information Technology > Artificial Intelligence > Machine Learning > Learning Graphical Models > Undirected Networks > Markov Models (0.68)
Fair Classification with Adversarial Perturbations
Neural Information Processing Systems
In these cases, protected attributes can be "imputed" [
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- Information Technology > Artificial Intelligence > Representation & Reasoning > Optimization (0.68)
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- Europe > Italy > Calabria > Catanzaro Province > Catanzaro (0.04)
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- Europe > United Kingdom > England > Cambridgeshire > Cambridge (0.04)
- North America > United States > Arizona (0.04)
- North America > Canada (0.04)
- Asia > Afghanistan > Parwan Province > Charikar (0.04)
Technology: Information Technology > Artificial Intelligence > Machine Learning > Statistical Learning (0.93)
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- North America > United States > Montana (0.04)
- Europe > Hungary > Budapest > Budapest (0.04)
Technology:
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Technology: Information Technology > Artificial Intelligence > Machine Learning > Neural Networks > Deep Learning (1.00)
SmallNashEquilibriumCertificatesinVeryLarge Games
Neural Information Processing Systems
In many game settings, the game is not explicitly given but is only accessible byplaying it.
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- North America > United States > Pennsylvania > Allegheny County > Pittsburgh (0.05)
- North America > United States > Texas (0.04)
- North America > Canada > British Columbia > Metro Vancouver Regional District > Vancouver (0.04)
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- North America > Dominican Republic (0.04)
- Asia > Nepal (0.04)
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- North America > United States > Wisconsin > Dane County > Madison (0.04)
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- North America > United States > Hawaii > Honolulu County > Honolulu (0.04)
- Europe > Ireland > Leinster > County Dublin > Dublin (0.04)
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Incorporating Test-Time Optimization into Training with Dual Networks for Human Mesh Recovery
Neural Information Processing Systems
However, the pretrained model may not provide an ideal optimization starting point for the test-time optimization.
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- Europe > Switzerland > Zürich > Zürich (0.14)
- Europe > Netherlands > North Holland > Amsterdam (0.04)
- Asia > Japan > Honshū > Chūbu > Ishikawa Prefecture > Kanazawa (0.04)
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- Research Report > Experimental Study (1.00)
- Research Report > New Finding (0.67)
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