Microsoft Research

Why are we interested in the causal structure of a data-generating process?

Multivariate categorical data occur in many applications of machine learning. One of the main difficulties with these vectors of categorical variables is sparsity.

As many services are moving to the cloud, we are losing control of our own data. This constitutes one of the biggest problems that we face in this decade.

Randomized experiments are the gold standard for causal claims, yet randomization is not feasible or ethical for many questions in the social sciences.

One of the characteristics of spontaneous speech that distinguishes it from written text is the presence of disfluencies, including filled pauses (um, uh), repetitions, and self corrections.

The basic Laws of Nature sought by many branches of science, as well as the basic axioms postulated in many branches of mathematics, have historically been expressed in great generality as algebraic

Machine learning techniques have been widely applied in many areas.

We present a new framework for solving optimization problems with a diseconomy of scale. In such problems, our goal is to minimize the cost of resources used to perform a certain task.

Traceroute is the most widely used Internet diagnostic tool today. Network operators use it to help identify routing failures, path inflation, and router misconfigurations.

Web browsers have become a de facto universal operating system, and JavaScript its instruction set. Unfortunately, running other languages in the browser is not generally possible.

The advent of modern digital computing in the mid-twentieth century precipitated many transformations in the practices of mathematical knowledge production.

Trimpin is a Seattle, Washington-based kinetic sculptor, sound artist, and musician.

Sparse coding is a basic algorithmic primitive in many machine learning applications, such as image denoising, edge detection, compression and deep learning.

Probabilistic topic models provide a suite of tools for analyzing large document collections.

Many structure-from-motion (SfM) systems take an incremental approach to reconstruct input images one by one.

Writing GPU kernel code which optimally exploits parallelism and the GPU architecture is the most challenging and time-consuming aspect of GPU software development.

Although computer vision can be posed as an inverse rendering problem, most renderers are not tailored to this task.

Tim will talk about two related pieces of work. Both use the idea of isomorphism as a means of understanding program modifications.

Bioimpedance analysis is a vital tool in both biomedical engineering and life science.

In this talk, I present the problem of synthesizing code completions for programs using APIs.

Debugging is one of the most time consuming aspects of software development. Any automation that reduces the manual effort involved in this task can have a significant impact on software productivity.

This panel shares the leadership experience of past IEEE branch chairs with the next generation of student leaders at IEEE University Partnership Program summit.

The rapid growth of our digital world has brought huge advantages - access to information anywhere, at any time, and the ability to communicate with colleagues, family and friends around the globe

The estimates obtained in large deviations are basically local estimates. While it is not a problem for lower bounds it is a problem for upper bounds.

Garbage collectors are exact or conservative.

Currently, deep neural networks are the state of the art on problems such as speech recognition and computer vision.

The famous Stochastic Block Model (SBM) has been recently completely solved independently by Massoulie and Mossel-Neeman-Sly.

Detecting communities, and labeling nodes, is a ubiquitous problem in the study of networks.

With sensitive data being increasingly stored on mobile devices and laptops, hard disk encryption is more important than ever.

Although Oblivious RAM (ORAM) has recently received a lot of attention, its high communication and storage cost still render it impractical for real-world scenarios.