Generating data series query workloads
Sparse-Factor Synthetic Controls: Unit-Level Counterfactuals from High-Dimensional Data
Synthetic controls is the most common empirical strategy used to accommodate unobserved endogenous factor models. However, little consideration is given to the dimension of the relevant factors, whether the associated loadings are truly time-invariant and…
Data Platforms and Analytics – Internships
MSR Redmond is now accepting applications for 2024 internship roles in the Data Platforms and Analytics Research Area. During the internship you will have the opportunity to work with top researchers and engineers at MSR…
Towards a learning optimizer for shared clouds
Workshop on Data Science Innovation with NSF Big Data Hubs
The Microsoft Research Data Science Outreach Program engages with academic researchers and universities through an ecosystem of resources and partnerships to drive breakthrough impact. This workshop will bring together Microsoft researchers and data scientists with…
How to Obtain and Run Light and Efficient Deep Learning Networks
Fast growth of the computation cost associated with training and testing of deep neural networks (DNNs) inspired various acceleration techniques. Reducing topological complexity and simplifying data representation of neural networks are two approaches that popularly…