Microsoft Research

Apache Hadoop, since its humble beginning as an execution engine for web crawler and building search indexes, has matured into a general purpose distributed application platform and data store.

In this talk I will describe NOMAD, which is an asynchronous, distributed framework for large scale matrix factorization.

Recent times have seen fantastic advances in the general area of "computing on encrypted data". Of particular importance, is the fast-growing area of functional encryption (FE).

The goal of this workshop is to inform people about open source machine learning systems being developed, aid the coordination of such projects, and discuss future plans.

Small, n=me, Data - Consider a new kind of cloud-based app that would create a picture of an individual's behavior over time by continuously, securely, and privately analyzing the digital traces

Memory Reactivation in Awake and Sleep States - By introducing arrays of microelectrodes into hippocampal, thalamic, and neocortical areas of freely behaving rodents, we have characterized the

We are in the midst of a revolution in the fields of genomics and public health.

Submodular functions have received significant attention in the mathematics community owing to their natural and wide ranging applicability.

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Social Computing Symposium 2016: Harassment, Threats, and Trolling Online, Transgender Experiences with Online Harassment Transgender people face disproportionate levels of harassment online.

IMS-Microsoft Research Workshop: Foundations of Data Science - Measuring Sample Quality with Stein's Method To carry out posterior inference on datasets of unprecedented sizes, practitioners are

NIPS Award Session On Decomposing the Proximal Map - The proximal map is the key step in gradient-type algorithms, which have become prevalent in large-scale high-dimensional problems.

IMS-Microsoft Research Workshop: Foundations of Data Science - Edge Detection on a Computational Budget: A Sublinear Approach Edge Detection is an important task in image analysis.

Afternoon Talks 2 17:15 Unsupervised Dependency Grammar Induction with Transferring Distribution and Entropy Regularization, Xuezhe Ma and Fei Xia 17:35 Graph-Based Posterior Regularization for

We are honored to have Edward Yang ( EdwardVYang.com) to present this talk during his business trip in Seattle. Mr. Yang is a Senior Business Executive, Author, Speaker, Professor and Mentor.

Microsoft Research Gender Diversity Lecture Series 3: The gender pay gap in Computing and Engineering and Solutions in Moving the Needle Catherine Hill, Ph.D.

Machine Learning does magical things when it starts interacting with and changing the world, yet most algorithms are not designed to do this.

IMS-Microsoft Research Workshop: Foundations of Data Science - Online, Opt-in Surveys: Fast, Cheap, and Mostly Accurate Session Chair Into - David Dunson Duke University Session Chair Intro

IMS-Microsoft Research Workshop: Foundations of Data Science - Predicting Travel Time Reliability using Mobile Phone GPS Data Probabilistic forecasts of travel times on a road network can be used

Do Neighborhoods Matter for Disadvantaged Families?

Automatic Differentiation - A Revisionist History and the State of the Art (hour 1) AD meets SDG and PLT (hour 2) Automatic Differentiation (aka Algorithmic Differentiation, aka Computational

Your looks are laughable, unphotographable, yet you're my favorite work of art on snapshots, pregnancy and being pretty on Instagram

Visual object recognition (OR) is a central problem in systems neuroscience, human psychophysics, and computer vision.

Advances in Quantum Algorithms and Devices: Bounding Quantum Gate Error Rate Based on Reported Average Fidelity Remarkable experimental advances in quantum computing are exemplified by recent

Belief Propagation Algorithms: From Matching Problems to Network Discovery in Cancer Genomics - We review belief propagation algorithms inspired by the study of phase transitions in combinatorial

IMS-Microsoft Research Workshop: Foundations of Data Science - Dense and Sparse Signal Detection in Genetic and Genomic Studies Massive genetic and genomic data present many exciting opportunities

Microsoft Research Gender Diversity Lecture Series 5: History of Women in Computing and Women Leaders in Computing

IMS-Microsoft Research Workshop: Foundations of Data Science - Taming the Monster: A Fast and Simple Algorithm for Contextual Bandits We present a new algorithm for the contextual bandit learning

Assessing the Creepy Factor: Shifting from Regulatory Ethics models to More Proactive Approaches to Doing the Right Thing in Technology Research

Charles River Crypto Day - Constant-Round Concurrent Zero-knowledge from Indistinguishability Obfuscation We present a constant-round concurrent zero-knowledge protocol for NP.