Research at Microsoft 2020: Addressing the present while looking to the future
Microsoft researchers pursue the big questions about what the world will be like in the future and the role technology will play. Not only do they take on the responsibility of exploring the long-term vision…
FLAML: A Fast Library for AutoML and Tuning
FLAML is a Python library designed to automatically produce accurate machine learning models with low computational cost. It frees users from selecting learners and hyperparameters for each learner. FLAML is powered by a new, cost-effective…
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OOPSLA’20 Talk: Feedback-Driven Semi-supervised Synthesis of Program Transformations
This talk was presented at OOPSLA 2020.
Open Academic Graph
Open Academic Graph (OAG) is a large knowledge graph unifying two billion-scale academic graphs: Microsoft Academic Graph (MAG) and AMiner. In mid 2017, we published OAG v1, which contains 166,192,182 papers from MAG and 154,771,162 papers from AMiner…
Directions in ML: AI for Adaptive Experiment Design
Experiment design is hallmark of virtually all research disciplines. In many settings, one important challenge is how to automatically design experiments over large action/design spaces. Furthermore, it is also important for such a procedure to…
Enhancing mobile work and productivity with virtual reality webinar
In this webinar, Microsoft Researcher Eyal Ofek presents a summary of research investigating opportunities and challenges for realizing a mobile VR office environment. In particular, you’ll learn how VR can be mixed with standard off-the-shelf…