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Veselin Raychev
Code Completion with Statistical Language ModelsIn this talk, I present the problem of synthesizing code completions for programs using APIs. Given a program with holes, we synthesize completions for the holes with the most likely sequences of method calls that we learn from existing code.The main idea of our approach is to reduce the problem of code completion to a natural-language processing problem of predicting probabilities of sentences. We design a simple and scalable static analysis that extracts sequences of method calls from large codebase, and...
Video details
Date: 27 August 2014
Duration: 00:56:37
Yishay Mansour
Robust Probabilistic InferenceProbabilistic Inference is the task of given a certain set of observations, to deduce the probability of various outcomes. This is a very basic task both in statistics and in machine learning.Robust probabilistic inference is an extension of probabilistic inference, where some of the observations are adversarially corrupted. Examples of where such a model may be relevant are spam detection, where spammers try adversarially to fool the spam detectors, or failure detection and correction, where the failure...
Video details
Date: 27 August 2014
Duration: 01:00:14
Bob Carpenter
Open Machine Learning Workshop - Stan Future PlansThe 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.
Video details
Date: 22 August 2014
Duration: 00:14:27
Heiko Strathmann
Open Machine Learning Workshop - Shogun Future PlansThe 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.
Video details
Date: 22 August 2014
Duration: 00:12:58
Frederic Bastien and Bart van Merrienboer
Open Machine Learning Workshop - Theano and PyLearn Future PlansThe 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.
Video details
Date: 22 August 2014
Duration: 00:11:37
Katrin Tiidenberg
"Your looks are laughable, unphotographable, yet youOver past twenty years, pregnancy has become publicly visible. Following the then-scandalous Vanity Fair cover of a heavily pregnant and naked Demi Moore in 1991, flaunting one's baby-bump has become almost a rite of passage for celebrities, and through that a staple in our visual culture. Women now are managing their pregnancies in the crossfire of medical, moral and consumerist narratives, balancing these to the best of their ability to make sure they are 'doing it right'. Photography can a means of...
Video details
Date: 18 August 2014
Duration: 01:03:09
Neil Cohn
The Visual Language of ComicsDrawings and sequential images are an integral part of human expression dating back at least as far as cave paintings, and in contemporary society appear most prominently in comics. Just how is it that our brains understand this deeply rooted expressive system? I will present a provocative theory: that the structure and cognition of drawings and sequential images is similar to language.Building on contemporary theories from linguistics and cognitive psychology, I will argue that comics are “written in” a...
Video details
Date: 14 August 2014
Duration: 00:43:21
Collection: Other
Michal Linial
Nerves and Synapses  - A General PreviewMy 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). To do so, we will discuss (briefly) how neurons convey information, what are the principles underlying neuronal communication and the fundamental rules of electrical and chemical messengers. The uniformity and the variability of neurons that are involved in high brain functions (mathematics?) and those that make...
Video details
Date: 13 August 2014
Duration: 01:10:38
David Blei
Probabilistic Topic Models and User BehaviorProbabilistic topic models provide a suite of tools for analyzing large document collections. Topic modeling algorithms discover the latent themes that underlie the documents and identify how each document exhibits those themes. Topic modeling can be used to help explore, summarize, and form predictions about documents. Topic modeling ideas have been adapted to many domains, including images, music, networks, genomics, and neuroscience.Traditional topic modeling algorithms analyze a document collection and...
Video details
Date: 12 August 2014
Duration: 01:22:37
Collection: MSR Talk Series
Learning to Be a Depth Camera for Close-Range Human Capture and InteractionAmong Microsoft Research's contributions to SIGGRAPH 2014, a machine learning technique for estimating absolute, per-pixel depth using any conventional monocular 2D camera, with minor hardware modifications. Our approach targets close-range human capture and interaction where dense 3D estimation of hands and faces is desired. We use hybrid classification-regression forests to learn how to map from near infrared intensity images to absolute, metric depth in real-time. We demonstrate a variety of...
Video details
Date: 11 August 2014
Duration: 00:03:42
Publisher: Microsoft
Controllable High-Fidelity Facial Performance TransferRecent technological advances in facial capture have made it possible to acquire high-fidelity 3D facial performance data with stunningly high spatial-temporal resolution. This paper introduces a novel facial expression transfer and editing technique for high-fidelity facial performance data. The key idea of our approach is to decompose high-fidelity facial performances into high-level facial feature lines, large-scale facial deformation and fine-scale motion details and transfer them appropriately to...
Video details
Date: 11 August 2014
Duration: 00:04:56
Publisher: Microsoft
Contributions to SIGGRAPH 2014A brief visual representation of Microsoft Research's contributions to SIGGRAPH 2014.
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Date: 11 August 2014
Duration: 00:01:35
Publisher: Microsoft
Real-Time Non-Rigid Reconstruction Using an RGB-D CameraAmong Microsoft Research's contributions to SIGGRAPH 2014, a combined hardware and software solution for markerless reconstruction of non-rigidly deforming physical objects with arbitrary shape in real-time. Our system uses a single self-contained stereo camera unit built from off-the-shelf components and consumer graphics hardware to generate spatio-temporally coherent 3D models at 30 Hz. A new stereo matching algorithm estimates real-time RGB-D data. The system is an order of magnitude faster than...
Video details
Date: 11 August 2014
Duration: 00:06:45
Publisher: Microsoft
Balu Sivan
Towards optimal algorithms for prediction with expert adviceWe study the classic problem of prediction with expert advice in the adversarial setting. Focusing on settings with a constant number of experts, we develop optimal algorithms and obtain precisely optimal regret values for the case of 2 and 3 experts. Our main tool is the minimax principle which lets us analyze the optimal adversary to compute optimal regret values. While analyzing the optimal adversary, we establish connections with non-trivial aspects of random walk. We further use this connection to...
Video details
Date: 7 August 2014
Duration: 00:54:17
Collection: MSR Talk Series
Briana Vecchione, Donald Hanson II, Franky Rodriguez, and Jahaziel Guzman
Data Science Summer School 2014 - Self-Balancing CitiBikesBikesharing is an internationally implemented system for reducing public transitcongestion, minimizing carbon emissions, and encouraging a healthy lifestyle.Since New York City's launch of the CitiBike program in May 2013, however,various issues have arisen due to overcrowding and general flow. In response tothese issues, CitiBike employees redistribute bicycles by vehicle throughoutthe New York City area. During the past year, over 500,000 bikes have beenredistributed in this fashion. This solution is...
Video details
Date: 7 August 2014
Duration: 00:23:14
Siobhan Wilmot-­Dunbar, Derek Sanz, Md.Afzal Hossain, and Khanna Pugach
Data Science Summer School 2014 - An Empirical Analysis of Stop-and-Frisk in New York CityBetween 2006 and 2012, the New York City Police Department made roughly four million stops as part of the city's controversial stop-and-frisk program. We empirically study two aspects of the program by analyzing a large public dataset released by the police department that records all documented stops in the city. First, by comparing to block-level census data, we estimate stop rates for various demographic subgroups of the population. In particular, we find, somewhat remarkably, that the average annual...
Video details
Date: 7 August 2014
Duration: 00:19:22
Brady Forrest
There is No China ButtonThere'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...while making something once is easy; making something that can be made is hard – very hard. Hardware takes longer, costs a lot and requires more people. It can be perilous for a company, but the rewards can be great. This talk outlines some of the pitfalls that have befallen hardware companies in the past – and still do...
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Date: 7 August 2014
Duration: 00:59:50
Collection: Other
Adam M Smith
Mechanizing Exploratory Game Design with Formal Design Space ModelsGame designers grapple with an interestingly indirect problem: they directly manipulate games, but they wish to shape the space of play that those games afford. This phenomenon is particularly critical for games intending to make external impact (e.g., in educational games) where the impact for players happens primarily during interactive play, as opposed to passive perception. My research aims to accelerate the exploratory design process by applying the resources of artificial intelligence to insights...
Video details
Date: 7 August 2014
Duration: 01:03:19
Robert Kleinberg
Explore or Exploit? Reflections on an Ancient Dilemma in the Age of the WebLearning and decision-making problems often boil down to a balancing act between exploring new possibilities and exploiting the best known one. For more than fifty years, the multi-armed bandit problem has been the predominant theoretical model for investigating these issues. The emergence of the Web as a platform for sequential experimentation at a massive scale is leading to shifts in our understanding of this fundamental problem as we confront new challenges and opportunities. I will present two recent...
Video details
Date: 6 August 2014
Duration: 01:02:44
Nicolo Cesa-Bianchi
Graphical BanditsWe consider a setting for nonstochastic multiarmed bandits in which actions are vertices of a graph G, the edges of G denote similarities between actions, and the payoffs observed in each play are in the neighborhood of the played action. This setting interpolates between the standard bandit problem (where G is the empty graph) and the setting of prediction with expert advice (where G is the clique). I will describe simple extensions of the Exp3 algorithm applicable to undirected and directed graphs. The...
Video details
Date: 5 August 2014
Duration: 01:01:10
Collection: MSR Talk Series
Rong Jin
Recovering Optimal Solution by Dual Random ProjectionRandom projection has been widely used in data classification. It maps high-dimensional data into a low dimensional space in order to reduce the computational cost in solving the related optimization problem. While previous studies are focused on analyzing the classification performance of using random projection, in this work, we consider the recovery problem, i.e., how to accurately recover the solution to the optimization problem in the original high dimensional space based on the solution learned from...
Video details
Date: 5 August 2014
Duration: 01:16:54
Collection: MSR Talk Series
Haptic Feedback at the FingertipsPresenting fingertip haptics: touch feedback on flat keyboards and touchscreens. Imagine feeling key clicks while typing on a Touch Cover or a Windows Phone, and locating a tile on a touchscreen through its unique tactile texture. Such effects are realized with piezoelectric actuators and electrostatic haptics technology.
Video details
Date: 5 August 2014
Duration: 00:03:59
Publisher: Microsoft
Wallace J. Nichols
Blue Mind: The Surprising Science That Shows How Being Near, In, On, or Under Water Can Make You Happier, Healthier, More Connected, and Better at What You DoWhy are we drawn to the ocean each summer? Why does being near water set our minds and bodies at ease? Wallace J. Nichols revolutionizes how we think about these questions, revealing the remarkable truth about the benefits of being in, on, under, or simply near water. Combining cutting-edge neuroscience with compelling personal stories from top athletes, leading scientists, military veterans, and gifted artists, Nichols will discuss how proximity to water can improve performance, increase calm, diminish...
Video details
Date: 31 July 2014
Duration: 01:04:38
Collection: Visiting Speakers Series
Deep Learning DemystifiedJohn Platt of Microsoft Research discusses deep learning andwhat makes it different from other types of machine learning.
Video details
Date: 31 July 2014
Duration: 00:01:45
Publisher: Microsoft
John Platt Plenty Excited About AIMicrosoft researcher John Platt discusses his enthusiasm forartificial intelligence and machine learning during a video interview, thelatest in the Microsoft Research Luminaries series.
Video details
Date: 31 July 2014
Duration: 00:16:58
Publisher: Microsoft
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