Microsoft Research

Matrix approximation is a common tool in recommendation systems, text mining, and computer vision.

Gaussian Process Conditional Copulas with Applications to Financial Time Series

CodaLab for Data-Driven Research - Theme Roundtables

From routing to online auctions, many decision-making tasks for learning agents are carried out in the presence of other decision makers.

Big Data & Its Discontents

What makes a platform suitable to both research and development?

We present a new multi-level preconditioning scheme for discrete Poisson equations that arise in various computer graphics applications such as image colorization, edge-preserving decomposition, and

Scientists today are able to generate data at unprecedented scale and rate.

Specification is the first and arguably the most important step for formal verification and correct-by-construction synthesis.

Traditional online transaction processing (OLTP) systems face two major challenges while trying to utilize modern hardware: (1) exploiting the abundant thread-level parallelism given by multicores

Reasoning about large systems requires reasoning about many different abstractions.

How can teachers, executives, and other public speakers make an interactive presentation to a large audience?

This presentation draws together experts in the field to discuss the technical and social challenges posed by crowdsourcing's global workflows.

Publish/subscribe (pub/sub) is a popular communication paradigm in the design of large-scale distributed systems.

There's never been a better time to build hardware. Consumers want to connect everything to their phone. Prototyping is "solved". Kickstarter will provide you with the upfront funds. But...

Over the years, we have been successful making computing devices smaller, more efficient, and cheaper.

The last few years have witnessed a renaissance in multiple areas of speech and language processing.

Like the Roman Empire at its peak, a successful ant colony relies on an effective network of roads that facilitate the movement of its powerful army and industrious population across a vast territory.

Multi-Camera systems have enabled a plethora of novel applications spanning entertainment, remote monitoring, and telecommuting.

Social Hardware Startups

My talk is a brief preview of neuroscience (pre-101..). I will share with you some of the brain’s mysteries and will illustrate the capacity of neurons to rewire and thus to learn (and forget).

Radiation therapy is an extremely effective cancer treatment, and is used in the treatment of around 40% of patients who are cured of cancer.

In this short course, we will take a closer look at antennas and their diverse methods of use in wireless networks.

Much research in the natural language field has been carried out on news, given the large amount of annotated data now available for this genre.

In this short course, we will take a closer look at antennas and their diverse methods of use in wireless networks.

From Airbnb, to Kickstarter, to Mechanical Turk, the on-demand provisioning of workforce, services, and goods is changing the nature of work and play.

I will talk about the design and implementation of FaRM, a new main memory distributed computing platform that exploits RDMA communication to improve both latency and throughput by an order of

From Airbnb, to Kickstarter, to Mechanical Turk, the on-demand provisioning of workforce, services, and goods is changing the nature of work and play.

Domain adaptation via effective feature engineering across domains Yan Song and Fei Xia Domain adaptation aims at bridging the performance gap when training and test data come from different domains.

Human ability to understand natural images far exceeds machines today. One reason for this gap is an artificially restrictive learning set up – humans today teach machines via Morse code (e.g.