2016-06-22 | Northwest Probability Seminar 2014 - Sampling from the Fomin-Kirillov distribution | 40:21 | 98 | |
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2016-06-22 | Computer Vision - StAR Lecture Series: Object Recognition | 1:19:31 | 13,193 | |
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2016-06-22 | Local Deep Kernel Learning for Efficient Non-linear SVM Prediction | 50:04 | 1,554 | |
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2016-06-22 | An Introduction to Concentration Inequalities and Statistical Learning Theory | 1:30:52 | 2,464 | |
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2016-06-22 | Intelligible Machine Learning Models for HealthCare | 1:04:35 | 1,995 | |
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2016-06-22 | An evolutionary view on information processing in cells | 17:21 | 88 | Guide |
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2016-06-22 | Online Learning and Bandits - Part 1 | 1:37:06 | 3,790 | |
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2016-06-22 | X1-Locally Non-linear Embeddings for Extreme Multi-label Learning | 23:00 | 199 | |
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2016-06-22 | Large-scale Linear and Kernel Classification - Part 2 | 1:43:19 | 147 | |
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2016-06-22 | Submodular Optimization and Machine Learning - Part 1 | 1:26:35 | 4,281 | |
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2016-06-22 | Large-scale Linear and Kernel Classification - Part 1 | 1:36:24 | 485 | |
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2016-06-22 | Probability and Prejudice: Bridging the Gap Between Machine Learning and Programming Languages | 55:46 | 128 | |
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2016-06-22 | Stan Future Plans | 14:48 | 8 | |
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2016-06-22 | Shogun Future Plans | 13:19 | 26 | |
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2016-06-22 | Submodular Optimization and Machine Learning - Part 2 | 1:25:55 | 502 | |
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2016-06-22 | Active Learning and Annotation | 1:03:02 | 9,735 | |
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2016-06-22 | Vowpal Wabbit Future Plans | 9:10 | 478 | |
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2016-06-22 | Fast and Simple Algorithms for Constrained Submodular Maximization | 1:00:32 | 265 | |
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2016-06-22 | Manifold correspondence: a signal processing perspective | 54:22 | 595 | |
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2016-06-22 | Distributed Machine Learning Algorithms: Communication-Computation Trade-offs - Part 1 | 1:37:50 | 989 | |
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2016-06-22 | Reinforcement Learning: An Introduction | 1:38:38 | 3,496 | |
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2016-06-22 | MSR India Research Overview | 1:31:53 | 874 | |
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2016-06-22 | Mathematica Tech Talk with Wolfram | 1:23:09 | 208 | |
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2016-06-22 | Near Optimal LP Rounding for Correlation Clustering on Complete Graphs | 57:34 | 430 | |
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2016-06-22 | Standing on the Shoulders of a Giant: One Person’s Experience of Turing’s Impact | 1:22:02 | 27 | |
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2016-06-22 | UW - MSR Machine Learning workshop 2015 - Session 4 | 55:40 | 317 | |
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2016-06-22 | Scaling Up Reinforcement Learning | 1:09:57 | 208 | |
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2016-06-22 | Debugging Machine Learning Tasks with PSI | 18:07 | 360 | |
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2016-06-22 | Human-Robot Collaboration | 1:14:49 | 2,158 | |
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2016-06-22 | Distributed Machine Learning Algorithms: Communication-Computation Trade-offs - Part 2 | 1:02:22 | 553 | |
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2016-06-22 | Multimodal Learning from Bespoke Data | 1:05:53 | 369 | |
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2016-06-22 | Human-centric machine learning. | 22:44 | 132 | |
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2016-06-22 | Tree Structured Gaussian Process Approximations. | 26:25 | 823 | |
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2016-06-22 | Online Learning and Bandits - Part 2 | 1:26:23 | 681 | |
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2016-06-22 | The State of Techniques for Solving Large Imperfect-Information Games, Including Poker | 1:30:10 | 7,964 | Guide |
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2016-06-22 | Crossing between Reality and Virtuality – On Virtual Touring of Dunhuang Art | 1:01:13 | 118 | |
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2016-06-22 | UW - MSR Machine Learning workshop 2015 - Session 5 | 53:09 | 246 | |
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2016-06-22 | Capturing and simulating the interaction of light with the world around us. | 57:45 | 92 | |
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2016-06-22 | Universal Design: How to Attract More Diverse Researchers | 1:31:18 | 56 | |
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2016-06-22 | Generative Models for Shape and Appearance | 58:22 | 867 | |
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2016-06-22 | Learning and Efficiency in Games with Dynamic Population | 1:03:12 | 277 | |
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2016-06-22 | Welcome and Overview of the Azure ML Workshop | 35:10 | 32 | |
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2016-06-22 | A Brief History of Type (and some creepy crawlies) | 39:23 | 136 | |
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2016-06-22 | UW - MSR Machine Learning workshop 2015 - Session 2 | 32:40 | 1,663 | |
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2016-06-22 | Supporting the Mobile Nomadic User through Projected User Interfaces | 59:02 | 25 | |
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2016-06-22 | Technology & Economics: Real-Time Ad Bidding and Personal Surveillance | 54:03 | 36 | |
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2016-06-22 | Game Theory Considerations in Computational Sustainability | 56:23 | 142 | |
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2016-06-22 | Computational Ideas and the Theory of Evolution | 37:00 | 83 | |
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2016-06-22 | Revenue Maximization in Interdependent Value Settings | 1:03:43 | 219 | |
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2016-06-22 | Towards Next Generation 3D Cameras | 59:26 | 97 | |
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2016-06-22 | WIPTTE: Sponsor Talks - OneNote: New Developments | 32:17 | 24 | |
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2016-06-22 | WIPTTE: Sponsor Talks - Office Mix | 28:37 | 3 | |
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2016-06-22 | Economics of Repeated Sales | 51:44 | 56 | |
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2016-06-22 | WIPTTE: Creating the Future of Ink | 35:15 | 30 | |
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2016-06-22 | Blind Deconvolution Using Unconventional Beamforming | 45:11 | 3,206 | |
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2016-06-22 | Social Media Platforms and the Curation of Public Culture | 1:37:49 | 66 | |
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2016-06-22 | Context-aware programming languages | 57:33 | 424 | |
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2016-06-22 | Supporting Proxemic Interactions with Multi-Scale Electric Field Sensing | 1:00:50 | 81 | |
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2016-06-22 | Tsunami or Sea Change? Responding to the Explosion of Student Interest in Computer Science | 34:24 | 41 | |
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2016-06-22 | IEEE Power Engineering Society | 1:03:03 | 133 | |
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2016-06-22 | Cutting tail latency in cloud data stores via adaptive replica selection | 57:28 | 424 | |
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2016-06-22 | Discursis: A Computational Methodology for the Analysis of Communication Data | 1:04:10 | 450 | Vlog |
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2016-06-22 | Change Dyslexia: Early Detection and Intervention at Large Scale | 1:07:58 | 297 | |
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2016-06-22 | Contextualised interaction in and with our environment | 50:17 | 14 | |
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2016-06-22 | Big Data and Bayesian Nonparametrics | 1:29:50 | 2,275 | |
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2016-06-22 | Separation between Estimation and Approximation | 1:02:28 | 558 | |
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2016-06-22 | Information Geometry | 1:10:57 | 10,840 | Guide |
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2016-06-22 | Data Visualization, Transformation and Feature Selection | 1:07:27 | 251 | |
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2016-06-22 | From Data to Stories: What Making a Billion Charts Has Taught Me about the World | 1:10:11 | 103 | |
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2016-06-22 | Controlled Data Sharing for Collaborative Predictive Blacklisting | 49:33 | 13 | |
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2016-06-22 | Stuff machine learning, let’s talk about climate change. | 28:38 | 1,579 | Discussion |
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2016-06-22 | Computer Vision and Intelligent Services | 1:29:10 | 547 | |
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2016-06-22 | ChronoZoom Prototype for Museums | 33:34 | 15 | |
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2016-06-22 | Data Science Summer School 2015- The Cost of Public School | 34:14 | 141 | |
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2016-06-22 | Computer Vision: New and Renewed Opportunities | 47:11 | 81 | |
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2016-06-22 | Compositional Models | 59:46 | 148 | |
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2016-06-22 | Method of Data Ingress and Egress | 32:47 | 3,064 | |
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2016-06-22 | Lab Tutorial: Towards Open-domain Spoken Dialogue Systems | 1:02:31 | 1,184 | Vlog |
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2016-06-22 | BetrFS: A Right-Optimized Write-Optimized File System | 1:00:31 | 2,630 | |
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2016-06-22 | UW - MSR Machine Learning workshop 2015 - Session 3 | 54:44 | 379 | |
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2016-06-22 | Commonsense and World Knowledge | 1:25:39 | 2,353 | |
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2016-06-22 | Deterministic Replay as a Platform for Understanding Dynamic Behaviors in Web Programs | 59:27 | 105 | |
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2016-06-22 | Privacy in Context | 28:13 | 214 | |
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2016-06-22 | MSR Talk Series: Visualization Analysis and Design | 1:29:19 | 114 | |
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2016-06-22 | Predictable Data Centers | 57:12 | 30 | |
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2016-06-22 | Creating a branded platform for expert crowdsourced proofreading and copy-editing | 49:30 | 89 | |
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2016-06-22 | Crowd-Agents: Creating Crowd-Powered Interactive Systems | 1:02:43 | 92 | |
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2016-06-22 | Predictable and Dependable Low-power Wireless Networks | 55:34 | 96 | |
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2016-06-22 | Interacting with Infrastructure: Home Networking and Beyond | 54:57 | 17 | |
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2016-06-22 | Approximations for stochastic graph rewriting | 18:06 | 261 | |
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2016-06-22 | Probabilistic Programs as Spreadsheet Queries | 18:14 | 86 | |
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2016-06-22 | Plug into the Supercloud | 53:04 | 90 | |
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2016-06-22 | Variational Gaussian Process State-Space Models. | 21:46 | 2,343 | |
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2016-06-22 | An Azure-Based Framework for Modeling and Monitoring Changes in Arctic Snow and Ice | 47:11 | 14 | |
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2016-06-22 | Social Computing Symposium 2015: Consequences of Humanizing Systems | 30:30 | 42 | |
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2016-06-22 | Hints and Principles for Computer System Design | 43:26 | 5,515 | |
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2016-06-22 | Cooperation on Social Networks | 1:00:24 | 102 | |
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2016-06-22 | Project Catapult: Derek Chiou and Bill Barth | 25:44 | 929 | |
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2016-06-22 | Automatic Device Driver Synthesis | 54:32 | 184 | |
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2016-06-22 | Computational Thinking | 40:09 | 37,497 | |
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