Recent studies show that instruction tuning and learning from human feed...
When machine learning is outsourced to a rational agent, conflicts of
in...
Congestion is a common failure mode of markets, where consumers compete
...
When users can benefit from certain predictive outcomes, they may be pro...
The primary goal in recommendation is to suggest relevant content to use...
Optimizing user engagement is a key goal for modern recommendation syste...
Humans have come to rely on machines for reducing excessive information ...
Accurately predicting the relevance of items to users is crucial to the
...
Strategic classification studies learning in settings where users can mo...
Predicative machine learning models are frequently being used by compani...
Strategic classification regards the problem of learning in settings whe...
Strategic classification studies the interaction between a classificatio...
Machine learning is a powerful tool for predicting human-related outcome...
Recent work in the domain of misinformation detection has leveraged rich...
Providing users with alternatives to choose from is an essential compone...
We propose a new, complementary approach to interpretability, in which
m...