Content creators compete for user attention. Their reach crucially depen...
Thanks to their scalability, two-stage recommenders are used by many of
...
Recommender systems – and especially matrix factorization-based
collabor...
Recommender systems operate in an inherently dynamical setting. Past
rec...
Two-stage recommender systems are widely adopted in industry due to thei...
We build four new test sets for the Stanford Question Answering Dataset
...
We study the sample complexity of approximate policy iteration (PI) for ...
Serverless cloud computing handles virtually all the system administrati...
Linear algebra operations are widely used in scientific computing and ma...
We investigate the capabilities and limitations of Gaussian process mode...
We develop an automated variational method for inference in models with
...