Microsoft Research

Microsoft Research

Views:
48,658,209
Subscribers:
351,000
Videos:
9,418
Duration:
297:18:41:14

Microsoft Research is a YouTube channel which has at least 351 thousand subscribers, with his content totaling at least 48.66 million views views across around 9.42 thousand videos.

Created on ● Channel Link: https://www.youtube.com/channel/UCCb9_Kn8F_Opb3UCGm-lILQ



All Videos by Microsoft Research



PublishedVideo TitleDurationViewsCategoryGame
2016-07-12Deep Multiagent Reinforcement Learning for Partially Observable Parameterized Environments1:17:068,892
2016-07-12Graduate School Between the Lines: Everything but the Dissertation1:07:31155
2016-07-12Session four - Artificial Intelligence and Machine Learning in Cambridge 20161:11:39567
2016-07-12Session three - Artificial Intelligence and Machine Learning in Cambridge 201658:38494
2016-07-12Computational Thinking54:08572
2016-07-12ACM India Research Board13:5973
2016-07-12Solutions for Smart Cities11:2784
2016-07-12Sample Complexity of Learning Topic Models from Large Document Corpora27:3490
2016-07-12Academic Research Summit - Innovate for Digital India15:4962
2016-07-12Intersection of Analytics Between Research and Industry26:4525
2016-07-12Mining Information from Microblogs during Disaster Events47:0784
2016-07-12ACM India21:39277
2016-07-12Putting India at the forefront of IoT Research54:1073
2016-07-12Smart City : Smart Transportation25:50578
2016-07-12The Kumbh Mela Experiment18:06245
2016-07-12Human Behavioural Study and Modelling - An overview21:41208
2016-07-12Digital India And Need Of Standardization54:5693
2016-07-12Q & A Session29:1114
2016-07-12Botness 2016 - Day 2, Part 1: Morning Rapid Fire Presentations1:22:33201
2016-07-12Botness 2016 - Day 1, Part 3: Unconference Session Report Backs and Audience Choice Talks50:3359
2016-07-12Botness 2016 - Day 1, Part 2: Unconference Session Report Backs, Afternoon Talks1:38:5951
2016-07-12Botness 2016 - Welcome and Introductions1:42:07126
2016-07-12Botness 2016 - Day 2, Part 2: Unconference Session Report Backs, Afternoon Short Talks1:29:5262
2016-07-08Social Computing Symposium 2015: Consequences of Design - Alexis Hope and Catherine D'Ignazio19:29124
2016-07-08Social Computing Symposium 2015: Consequences of Crowdsourcing7:2384
2016-07-08Long-Range Planning with Time-Inconsistency58:58454
2016-07-08Preference Reasoning and Aggregation1:03:12294
2016-07-08Machine Learning Class (Session #17)1:08:4118,135
2016-07-08Scaling up Extraction Over Entities (and Relations)55:46165
2016-07-08Candidate Multilinear Maps1:16:23150
2016-07-08A Crash Course on Model Checking - session 11:04:101,613
2016-07-08Frameworks for Distributed Machine Learning1:04:11504
2016-07-08Lattice Signatures Schemes1:10:461,927
2016-07-08Machine Learning Course - Lecture 111:05:21454
2016-07-08Fast Online Tensor Method for Overlapping Community Detection54:44800
2016-07-08Approximate Common Divisors via Lattices59:47803
2016-07-08Social Computing Symposium 2016: Post Screen Personas and Listening Machines18:4222
2016-07-08Solving Global Challenges Through Diverse Perspectives1:07:2764
2016-07-08Computational Discovery of Directional Pioneer Factors24:46236
2016-07-08The Learning with Rounding Problem: Reductions and Applications57:51635
2016-07-08Perceptual Annotation: from Biologically Inspired, to Biologically Informed Machine Learning31:5469Vlog
2016-07-08Distributed Newton Methods for CTR (Click Through Rate) Prediction1:00:20945
2016-07-08Social Computing Symposium 2016: Architectural Intelligence in the Age Of Social Computing12:26152
2016-07-08An Overview of Lattice Reduction Algorithms1:01:113,210
2016-07-08Divide & Conquer Methods for Big Data Analytics1:06:24539
2016-07-08Machine Learning Class (Session #1)1:03:052,887
2016-07-08Analysis of Cell-Cell Communication Networks in Inflammatory Pathologies27:5264
2016-07-08Instrumenting the Healthcare Enterprise31:2651
2016-07-08Interpreting Cancer Copy-Number Alterations29:392,558
2016-07-08Message Passing: Modeling the Flow of Information in Cellular Networks32:2578
2016-07-08Tutorial Session B - Approximate Bayesian Computation (ABC)1:54:461,141Tutorial
2016-07-08Achieving the Full Potential of State Machine Replication54:171,095
2016-07-08Hadoop: The Default Machine Learning Platform?59:48682
2016-07-08NOMAD : A Framework for Distributed Machine Learning57:21184
2016-07-08Functional encryption from LWE55:591,571
2016-07-08Introduction and Liblinear30:321,435
2016-07-08Oral Session 11:07:5379
2016-07-08Oral Session 31:38:2537
2016-07-08Evolutionary Forces in Humans and Pathogens26:56111
2016-07-08Deep Mathematical Properties of Submodularity with Applications to Machine Learning1:59:09698
2016-07-08Social Computing Symposium 2016: Harassment, Threats, and Trolling Online Katherine Lo13:4572
2016-07-08Social Computing Symposium 2016: Transgender Experiences with Online Harassment9:19113
2016-07-08Measuring Sample Quality with Stein's Method27:29450
2016-07-08Oral Session 240:05100
2016-07-08Edge Detection on a Computational Budget: A Sublinear Approach31:15117
2016-07-083rd Pacific Northwest Regional NLP Workshop: Afternoon Talks 2 & Closing Remarks1:00:1684
2016-07-08Top Characteristics of Successful People in Technology and How Asians Can Rise Even Higher1:51:50156Vlog
2016-07-08The gender pay gap in Computing and Engineering and Solutions in Moving the Needle59:3898Discussion
2016-07-08Tutorial Session B - Learning to Interact1:32:09153Tutorial
2016-07-08Online, Opt-in Surveys: Fast, Cheap, and Mostly Accurate29:29386
2016-07-08Predicting Travel Time Reliability using Mobile Phone GPS Data27:121,113
2016-07-08Do Neighborhoods Matter for Disadvantaged Families?1:23:36414
2016-07-08Automatic Differentiation - A Revisionist History and the State of the Art - AD meets SDG and PLT1:42:423,232
2016-07-08Your looks are laughable, unphotographable, yet you're my favorite work of art ...1:03:30469
2016-07-08Mechanisms Underlying Visual Object Recognition: Humans vs. Neurons vs. Machines1:58:175,407
2016-07-08Bounding Quantum Gate Error Rate Based on Reported Average Fidelity43:58372
2016-07-08Oral Session 71:27:52154
2016-07-08Dense and Sparse Signal Detection in Genetic and Genomic Studies28:00167
2016-07-08History of Women in Computing and Women Leaders in Computing1:37:10116
2016-07-08Taming the Monster: A Fast and Simple Algorithm for Contextual Bandits31:388,361
2016-07-08Shifting from Regulatory Ethics models to More Proactive Approaches to Doing the Right Thing1:08:3048
2016-07-08Charles River Crypto Day1:11:04197
2016-07-08Oral Session 51:12:1815
2016-07-08Oral Session 640:2834
2016-07-08Oral Session 41:23:43139
2016-07-08Oral Session 101:10:4392
2016-07-07IMS-Microsoft Research Workshop: Foundations of Data Science - Graph Cluster Randomization30:13362
2016-07-07Sharp higher order corrections for the critical value of a bootstrap percolation model37:27160
2016-07-07Oral Session 81:17:51382
2016-07-07MSR NYC Data Science Seminar Series: From "In" to "Over"1:02:0724
2016-07-07Oral Session 921:5370
2016-07-07IMS-Microsoft Research Workshop: Foundations of Data Science - The small clustering problem25:45311
2016-07-07Advances in Quantum Algorithms and Devices44:52299
2016-07-07Tutorial Session B - Causes and Counterfactuals: Concepts, Principles and Tools.2:19:023,742
2016-07-07Modeling human intelligence with Probabilistic Programs and Program Induction1:08:343,811
2016-07-07Invited Talk: Post-selection Inference for Forward Stepwise Regression, Lasso and other procedures53:332,861
2016-07-07Tutorials Session A - Deep Learning for Computer Vision1:57:592,432Tutorial
2016-07-07Machine Learning Algorithms Workshop1:39:55474
2016-07-07Joint Talk: Automatic Statistician40:03421
2016-07-07MSR NYC Data Science Seminar Series #4 - What Makes us Human?56:2983