Microsoft Research

Big Data is often characterized by large sample sizes, high dimensions, and strange variable distributions.

We show (under standard assumptions) that there are NP optimization problems for which estimation is easier than approximation.

This tutorial will focus on entropy, exponential families, and information projection. We'll start by seeing the sense in which entropy is the only reasonable definition of randomness.

Data Visualization, Transformation and Feature Selection

In this talk I will present five big data visualization engines created by The Macro Connections group at The MIT Media Lab and I will show how I have used these visualizations to improve our

Although sharing data across organizations is often advocated as a promising way to enhance cybersecurity, collaborative initiatives are rarely put into practice owing to confidentiality, trust, and

I’ll talk about some recent bits of climate science that I find interesting.

Recent advances in image understanding have opened many avenues for computer vision-based intelligent services.

ChronoZoom is an open-source community project dedicated to visualizing the history of everything.

New York City is home to the largest public school system in the country, which contains some of the best and worst schools in the state.

Computer Vision: New and Renewed Opportunities

This talk gives an overview of recent work which addresses different computer vision tasks. It describes a research strategy based on compositional models.

Method of Data Ingress and Egress

Virtually all current spoken dialogue systems are designed to operate in either a specific carefully defined domain such as restaurant information and appointment booking, or they have very limited

This talk will describe BetrFS, a file system built on B epsilon -trees, a Write-Optimized Data Structure (WODS).

13:00Delay-Tolerant Algorithms for Asynchronous Distributed Online Learning - Brendan McMahan We analyze new online gradient descent algorithms for distributed systems with large delays between

Everyday intelligence relies on a large store of background—or "common sense"—knowledge about the world.

The web is the most successful open application platform, where anyone can inspect a live application to see how it works.

Big data equals Big Brother? The big data explosion forces us to confront the privacy implications of this wide-ranging societal change.

Biomaterials Computer-based visualization (vis) systems provide visual >representations of datasets designed to help people carry out tasks more effectively.

Predictable Data Centers

The idea of Wordy is to make it easier, faster and cheaper to produce and distribute easier-to-digest high-value content, by making expert proofreaders and copy-editors instantly available to clients.

I create and deploy interactive systems that use a combination of human and machine intelligence to operate robustly in real-world settings.

By integrating components for sensing, communicating, computing, and actuating, Cyber-Physical Systems (CPSs) enable applications to monitor and control physical processes.

Does your home network work, the way you want it to, every day? Does your parents'? Your neighbours'?

Approximations for stochastic graph rewriting

Cloud computing is often compared to the power utility model as part of a trend towards the commoditization of computing resources.

We describe the design, semantics, and implementation of a probabilistic programming language where programs are spreadsheet queries.

State-space models have been successfully used for more than fifty years in different areas of science and engineering.

Changes in polar snow and ice are rapidly altering the timing and magnitude of freshwater delivery to the ocean, with impacts on near-shore ecosystems, transportation and energy infrastructure, and