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Found 6 papers, 2 papers with code
Shill-Proof Auctions
The Dutch auction (with suitable reserve) is the unique optimal and strongly shill-proof auction.
The Harvard USPTO Patent Dataset: A Large-Scale, Well-Structured, and Multi-Purpose Corpus of Patent Applications
Innovation is a major driver of economic and social development, and information about many kinds of innovation is embedded in semi-structured data from patents and patent applications.
Recommending with Recommendations
In our setting, the user's (potentially sensitive) information belongs to a high-dimensional latent space, and the ideal recommendations for the source and target tasks (which are non-sensitive) are given by unknown linear transformations of the user information.
Generalization by Recognizing Confusion
A recently-proposed technique called self-adaptive training augments modern neural networks by allowing them to adjust training labels on the fly, to avoid overfitting to samples that may be mislabeled or otherwise non-representative.
Smarter Parking: Using AI to Identify Parking Inefficiencies in Vancouver
To see where this might be true in downtown Vancouver, we used artificial intelligence techniques to estimate the amount of time it would take drivers to both park on and off street for destinations throughout the city.
Ridesharing with Driver Location Preferences
We study revenue-optimal pricing and driver compensation in ridesharing platforms when drivers have heterogeneous preferences over locations.
Multiagent Systems Computer Science and Game Theory
