23 citations · 24 across the 4 of their papers we have counts for
4 papers
Transfer Learning Through Conditional Quantile Matching
Yikun Zhang, Steven Wilkins-Reeves, Wesley Lee +1
We introduce a transfer learning framework for regression that leverages heterogeneous source domains to improve predictive performance in a data-scarce target domain. Our approach…
Multiply Robust Estimation for Local Distribution Shifts with Multiple Domains
Steven Wilkins-Reeves, Xu Chen, Qi Ma +2
Distribution shifts are ubiquitous in real-world machine learning applications, posing a challenge to the generalization of models trained on one data distribution to another. We f…
TIES: Temporal Interaction Embeddings For Enhancing Social Media Integrity At Facebook
Nima Noorshams, Saurabh Verma, Aude Hofleitner
Since its inception, Facebook has become an integral part of the online social community. People rely on Facebook to make connections with others and build communities. As a result…
Arriving on time: estimating travel time distributions on large-scale road networks
Timothy Hunter, Aude Hofleitner, Jack Reilly +5
Most optimal routing problems focus on minimizing travel time or distance traveled. Oftentimes, a more useful objective is to maximize the probability of on-time arrival, which req…