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Video details
Date: 5 November 2015
Duration: 00:03:15
Publisher: Microsoft
Itai Ashlagi
Unbalanced Random Matching Markets: The Stark Effect of CompetitionStability is used often as a criterion in organizing clearinghouses for two-sided matching markets, where agents on both sides of the market have preferences over potential matches. We study competition in matching markets with random heterogeneous preferences by considering markets with an unequal number of agents on either side. First, we show that even the slightest imbalance yields an essentially unique stable matching. Second, we give a tight description of stable outcomes, showing that matching...
Video details
Date: 1 July 2015
Duration: 00:52:32
Scarlet Schwiderski-Grosche
PhD Summer SchoolThis annual event is for PhD students in their first or second year from universities and research institutions with which Microsoft Research partners, as well as all Microsoft Research PhD Scholars. It includes a series of talks of academic interest, transferable skills talks, and poster sessions that provide invited students the opportunity to present their work to Microsoft researchers.
Video details
Date: 29 June 2015
Duration: 00:03:37
Publisher: Microsoft
Michael Kearns
MSR NYC Data Science Seminar Series: From “In” to “Over”: Behavioral Experiments on Whole-Network ComputationWe report on a series of behavioral experiments in human computation on three different tasks over networks: graph coloring, community detection (or graph clustering), and competitive contagion. While these tasks share similar action spaces and interfaces, they capture a diversity of computational challenges: graph coloring is a search problem, clustering is an optimization problem, and competitive contagion is a game-theoretic problem. In contrast with much of the recent literature on human-subject...
Video details
Date: 25 June 2015
Duration: 01:01:46
Collection: MSR NYC Data Science Seminar Series
Tony Hey
The Computing Universe: A Journey through a RevolutionComputers now impact almost every aspect of our lives, from our social interactions to the safety and performance of our cars. How did this happen in such a short time? And this is just the beginning. . . . In this book, Tony Hey and Gyuri Pápay lead us on a journey from the early days of computers in the 1930s to the cutting-edge research of the present day that will shape computing in the coming decades. Along the way, they explain the ideas behind hardware, software, algorithms, Moore's Law, the birth...
Video details
Date: 25 June 2015
Duration: 00:56:59
Collection: Visiting Speaker Series
Debmalya Panigrahi
Energy-efficient Scheduling in the Non-clairvoyant ModelA fundamental problem in energy-efficient computing is to schedule multiple jobs released over time on a single machine with adjustable speed so as to minimize the sum of flow-time (delay) and energy. Note that the two objectives are in conflict: higher speeds reduce flow-time at the cost of increased energy consumption. In this talk, motivated by datacenter applications, I will consider the non-clairvoyant version of this problem where the density (importance) of a job is known when the job arrives but...
Video details
Date: 24 June 2015
Duration: 00:42:04
Collection: MSR Talk Series
Yaron Singer
Some Limitations and Possibilities Toward Data-Driven OptimizationAs we grow highly dependent on big data for making predictions, we translate these predictions into models that help us make informed decisions. But how do the guarantees we have on predictions translate to guarantees on decisions? In many cases, we learn models from sampled data and then aim to use these models to make decisions. In some cases, despite having access to large data sets, the current frameworks we have for learnability do not suffice to guarantee desirable outcomes. In other cases, the...
Video details
Date: 24 June 2015
Duration: 00:58:19
Kentaro Toyama
Geek Heresy: Rescuing Social Change from the Cult of TechnologyAfter a decade designing technologies meant to address education, health, and global poverty, award-winning computer scientist Kentaro Toyama came to a difficult conclusion: Even in an age of amazing technology, social progress depends on human changes that gadgets can’t deliver.Computers in Bangalore are locked away in dusty cabinets because teachers don't know what to do with them. Mobile phone apps meant to spread hygiene practices in Africa fail to improve health. Executives in Silicon Valley...
Video details
Date: 23 June 2015
Duration: 00:54:10
Collection: Visiting Speaker Series
Bogdan Vasilescu
Of Teams and Automation: Lessons in Social Coding from Github'Social coding' is a phrase made popular by GitHub, the online collaborative coding platform home to millions of users and repositories. It has come to represent a paradigm shift in software development, especially in the open source world. Coding has always been human-centric, but never more so than with the advent of GitHub. Code is rarely written for oneself, is meant to be shared, and changed by others as needed.This talk reports on some of our adventures in learning about the social side of software...
Video details
Date: 23 June 2015
Duration: 01:14:01
Collection: MSR Talk Series
David Malan
Rebooting CS50CS50 is Harvard University's introductory course for majors and non-majors alike, a one-semester amalgam of courses generally known as CS1 and CS2. In 2007, we set out to alter the course's style and tone to resonate with those 'less comfortable' and 'more comfortable' alike, albeit without sacrificing the course's historical rigor. We maintained the course's underlying syllabus but revamped every problem set, providing students not only with more direction but context as well. And we augmented the...
Video details
Date: 23 June 2015
Duration: 01:17:53
Collection: MSR Talk Series
Hariharan Narayanan
Randomized Interior Point Methods for Sampling and OptimizationWe present a Markov Chain, 'Dikin walk', for sampling from a convex body equipped with a self-concordant barrier. This Markov Chain corresponds to a natural random walk with respect to a Riemannian metric defined using the Hessian of the barrier function.For every convex set of dimension n, there exists a self-concordant barrier whose self-concordance parameter is O(n). Consequently, a rapidly mixing Markov Chain of the kind we describe can be defined (but not always be efficiently implemented) on any...
Video details
Date: 18 June 2015
Duration: 00:52:58
Collection: MSR Talk Series
Laurie Frick
Studio 99 Present: Collected Works of Artist Laurie FrickPlease help us welcome Laurie Frick, an installation artist who creates physical instantiations of personal, and private data for thought and discussion.
Video details
Date: 18 June 2015
Duration: 00:48:08
Collection: MSR Talk Series
Improving the Halo 5 multiplayer experienceSenior researcher Rob DeLine describes how the Halo team uses Trill, a high-performance in-memory incremental analytics engine, and Tempe, a web service for exploratory data analysis, to monitor and quickly improve the Xbox gaming experience.​
Video details
Date: 18 June 2015
Duration: 00:02:48
Publisher: Microsoft
Felix Hill
Deep consequences: Why syntax (as we know it) isnWith the development of 'deeper' models of language processing, we can start to infer (in an more empirically sound way) the true principles, factors or structures that underline language. This is because, unlike many other approaches in NLP, deep language models (loosely) reflect the true situation in which humans learn language. Neural language models learn the meaning of words and phrases concurrently with how best to group and combine these meanings, and they are trained to use this knowledge to do...
Video details
Date: 18 June 2015
Duration: 01:03:29
Collection: UK Cambridge - Lecture/Seminar
Bill Burger, Ron Brost, and Adam Weinstein
Next Generation Zinc Rechargeable BatteriesNote this is more of a company meeting with an informal technical lecture. I requested a lecture as a number of folks indicated a desire to meet or hear about their technology and we didn’t have a large enough room to accommodate. They promised to keep the business at a minimum with emphasis on the technical aspects.
Video details
Date: 16 June 2015
Duration: 01:08:02
Collection: MSR Talk Series
Alastair Donaldson
Many-Core Compiler FuzzingParallel programming models for many-core systems, such as the OpenCL programming model, claim to allow the construction of portable many-core software. Though performance portability may be an elusive goal, functional portability should not be. Functional portability depends on reliable compilers for many-core programming languages. This presents a real challenge for industry because many-core devices, such as GPUs, are evolving rapidly, as are the associated many-core languages (e.g., a revision of...
Video details
Date: 12 June 2015
Duration: 00:58:04
Collection: MSR Talk Series
Xihong Lin
IMS-Microsoft Research Workshop: Foundations of Data Science - Dense and Sparse Signal Detection in Genetic and Genomic StudiesMassive genetic and genomic data present many exciting opportunities as well as challenges in data analysis and result interpretation, e.g., how to develop effective strategies for signal detection using massive genetic and genomic data when signals are weak and sparse. Many variable selection methods have been developed for analysis of high-dimensional data in the statistical literature. However limited work has been done on statistical inference for massive data. In this talk, I will discuss hypothesis...
Video details
Date: 12 June 2015
Duration: 00:27:15
Collection: IMS 2015
Rafael Irizarry and Matthew Stephens
IMS-Microsoft Research Workshop: Foundations of Data Science - False Discovery Rates - a new dealSession Chair Intro - Rafael Irizarry Harvard University Session Chair Intro: Statistical and Computational Challenges in BiologyMatthew Stephens University of Chicago False Discovery Rates - a new deal False Discovery Rate (FDR) methodology, first put forward by Benjamini and Hochberg, and further developed by many authors - including Storey, Tibshirani, and Efron - is now one of the most widely used statistical methods in large-scale scientific data analysis, particularly in genomics. A typical genomics...
Video details
Date: 12 June 2015
Duration: 00:29:24
Collection: IMS 2015
Rebecca C. Steorts
IMS-Microsoft Research Workshop: Foundations of Data Science - The small clustering problem: When the cluster sizes don’t grow with the dataInformation about social entities is often spread across multiple large databases, each degraded by noise, and without unique identifiers shared across databases. Record linkage - reconstructing the actual entities and their attributes - is essential to using big data and is challenging not only for inference but also for computation. Record linkage can be view as a clustering problem, however, many popular generative models for clustering assume that the number of data points in each cluster grows...
Video details
Date: 12 June 2015
Duration: 00:25:00
Collection: IMS 2015
David Dunson and David Rothschild
IMS-Microsoft Research Workshop: Foundations of Data Science - Online, Opt-in Surveys: Fast, Cheap, and Mostly AccurateSession Chair Into - David Dunson Duke University Session Chair Intro: Computational Social ScienceDavid Rothschild Microsoft ResearchOnline, Opt-in Surveys: Fast, Cheap, and Mostly AccurateWe explore varying methods of survey data collection, and transforming raw survey data into answers. We reject the standard construct that survey data is either 'probability' or 'non-probability' and, consequently, accurate or non-accurate; all survey data collection is on a continuum that runs from the theoretically...
Video details
Date: 12 June 2015
Duration: 00:28:44
Collection: IMS 2015
Axel Munk and Timo Aspelmeier
IMS-Microsoft Research Workshop: Foundations of Data Science - Opening Remarks and Morning Session IAxel Munk Institute for Mathematical Stochastics, Georg August University Goettingen Session Chair Intro: Imaging in Sciences: The Big Data ChallengeTimo Aspelmeier Goettingen University and Max Planck Institute for Biophysical Chemistry Statistical Challenges in Superresolution MicroscopyIn the past few years, the rapid development of optical fluorescence microscopy methods that are able to break the fundamental physical resolution limit of microscopy has led to many new discoveries in biology,...
Video details
Date: 12 June 2015
Duration: 00:35:47
Collection: IMS 2015
Nika Haghtalab
Symmetric and Asymmetric k-center Clustering under StabilityThe k-center problem is a canonical and long-studied facility location and clustering problem with many applications in both its symmetric and asymmetric forms. Both versions of the problem have tight approximation factors on worst case instances: a 2-approximation for symmetric k-center and a log*(n)-approximation for the asymmetric version. Therefore, to improve on these guarantees, one must go beyond the worst case and consider the instances that satisfy some natural structural properties. In this talk,...
Video details
Date: 11 June 2015
Duration: 00:52:16
Collection: MSR Talk Series
Alekh Agarwal
IMS-Microsoft Research Workshop: Foundations of Data Science - Taming the Monster: A Fast and Simple Algorithm for Contextual BanditsWe present a new algorithm for the contextual bandit learning problem, where the learner repeatedly takes one of K actions in response to the observed context, and observes the reward only for that chosen action. Our method assumes access to an oracle for solving fully supervised cost-sensitive classification problems and achieves the statistically optimal regret guarantee with only ˜O(√KT) oracle calls across all T rounds. By doing so, we obtain the most practical contextual bandit learning...
Video details
Date: 11 June 2015
Duration: 00:30:54
Collection: IMS 2015
Dawn Woodard
IMS-Microsoft Research Workshop: Foundations of Data Science - Predicting Travel Time Reliability using Mobile Phone GPS DataProbabilistic forecasts of travel times on a road network can be used for risk-averse routing, for reporting travel time reliability to a user, or as a component of fleet vehicle decision-support systems. Many of these uses (such as those for mapping services like Bing or Google Maps) require predictions for arbitrary routes in the road network, at arbitrary times; the highest-volume source of data for this purpose is GPS data from mobile phones. We introduce a method ('TRIP') to predict the probability...
Video details
Date: 11 June 2015
Duration: 00:26:28
Collection: IMS 2015
Lester Mackey
IMS-Microsoft Research Workshop: Foundations of Data Science - Measuring Sample Quality with SteinTo carry out posterior inference on datasets of unprecedented sizes, practitioners are turning to biased MCMC procedures that trade off asymptotic exactness for computational efficiency. The reasoning is sound: a reduction in variance due to more rapid sampling can outweigh the bias introduced. However, the inexactness creates new challenges for sampler and parameter selection, since standard measures of sample quality like effective sample size do not account for asymptotic bias. To address these...
Video details
Date: 11 June 2015
Duration: 00:26:45
Collection: IMS 2015
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