Multi-distribution learning is a natural generalization of PAC learning ...
We provide a unifying framework for the design and analysis of
multi-cal...
Social and real-world considerations such as robustness, fairness, socia...
Multi-agent simulations provide a scalable environment for learning poli...
Result relevance scoring is critical to e-commerce search user experienc...
Distribution shift poses a challenge for active data collection in the r...
In recent years, Graph Neural Networks (GNNs), which can naturally integ...
Graphs, which describe pairwise relations between objects, are essential...