Overview of the TREC 2019 deep learning track
FLAML
Accelerating development of machine learning applications for engineers and data scientists.
Quickr: Cost-Effective Data Analytics at Scale
Quickr explores cost-effective data analytics at scale, breaking new ground in research on offering approximate answers for complex ad-hoc queries.
Efficient Learning from Diverse Sources of Information
Although machine learning has witnessed rapid progress in the last decade, many current learning algorithms are very inefficient in terms of the amount of data it uses, and the time used to train the model.…
Machine Learning & Pizza
Get your slice of the latest artificial intelligence research in Cambridge! Starting in January 2020 we re-launch the AI+Pizza talk series as a fresh way to discover some of the amazing research on machine learning…
Deep Learning Group
The Deep Learning group advances the state-of-the-art in deep learning to achieve general intelligence. We develop algorithms, models, and systems in deep supervised and unsupervised learning, deep reinforcement learning, and neural-symbolic reasoning, and then pursue breakthroughs in computer vision,…
Exploring the fundamentals of multi-armed bandits
If you haven’t ever been in a casino, you may have found yourself asking one very pertinent question: On which slot machine am I going to hit the jackpot? Standing in front of a bank…