Optimizing imperative functions in relational databases with Froid
For decades, databases have supported declarative SQL as well as imperative functions and procedures as ways for users to express data processing tasks. While the evaluation of declarative SQL has received a lot of attention…
Microsoft @ VLDB 2018
Microsoft is proud to be a Platinum sponsor of the 44th International Conference on Very Large Data Bases (VLDB) in Rio de Janeiro, Brazil August 27 – 31. Come by our booth to find out…
DoWhy – A library for causal inference
For decades, causal inference methods have found wide applicability in the social and biomedical sciences. As computing systems start intervening in our work and daily lives, questions of cause-and-effect are gaining importance in computer science…
Microsoft @ KDD 2018
Microsoft is proud to be a Bronze sponsor of KDD in London, United Kingdom August 19-23. The annual KDD conference is the premier interdisciplinary conference bringing together researchers and practitioners from data science, data mining,…
Microsoft Research Open Data
Microsoft Research Open Data is a data repository that makes available datasets that researchers at Microsoft have created and published in conjunction with their research. Our goal is to provide a simple platform to Microsoft’s…
Large-scale Models of Consumer Choice and Counterfactual Inference
Recent advances in machine learning have showed great promise in predicting consumer behavior. Yet, many firms need to make decisions about changes to the environment, such as changes in prices, promotions, and introducing new products.…
Tech Showcase: FarmBeats: Empowering Farmers with Low-Cost Digital Agriculture Solutions
Data-driven techniques help boost agricultural productivity by increasing yields, reducing losses and cutting down input costs. However, these techniques have seen sparse adoption owing to high costs of manual data collection and limited connectivity solutions.…
Tech Showcase: FaRM
FaRM is an in-memory transactional object store for random-access latency-sensitive workloads, such as graphs and key-value stores. It provides high throughput and low microsecond latency by using remote direct memory access (RDMA) and novel transactional…