BLOG
The future of time-series forecasting, with RFP winner B. Aditya Prakash
From time to time, Meta invites academics to propose research in specific areas that align with our mission of building community and bringing the world closer together.
Data Science
PUBLICATIONS
Metrics of Calibration for Probabilistic Predictions
The cumulative approach is currently unconventional, yet offers many favorable statistical properties, guaranteed via mathematical theory backed by rigorous proofs and...
PUBLICATIONS
Workgraph: Personal Focus vs. Interruption for Engineers at Meta
We describe descriptive statistics related to how long engineers are able to focus. We find that at Meta, Engineers have a total of 14.25 hours of personal-focus time per week.
PUBLICATIONS
Code Quality Prediction Under Super Extreme Class Imbalance
In this paper, we present our work on a code quality prediction framework, we call Automated Incremental Effort Investments (AIEI), to fasten the process of going from data...
PUBLICATIONS
The Engineering Implications of Code Maintenance in Practice
In this paper, we present a real-world case study of an architectural refactoring project within an industrial setting. The system in scope is our codenamed ItemIndexer delivery...
BLOG
What it’s like to be a parent on the Core Data Science team at Meta
What it’s like to be a parent on the Core Data Science team at Meta
PUBLICATIONS
Popularity Prediction for Social Media over Arbitrary Time Horizons
We propose a feature-based approach based on a self-excited Hawkes point process model, which involves prediction of the content’s popularity at one or more reference horizons in tandem with a point predictor of an effective growth parameter that reflects the timescale of popularity growth.
BLOG
Modeling contextual uncertainty in crowdsourcing using Gaussian Processes
Modeling contextual uncertainty in crowdsourcing using Gaussian Processes