FieldsLive Video Archive
This archive holds videos of past Fields lectures. Lectures are archived in two formats.The interactive format, viewed in a flash-player-enabled desktop web browser, allows you to zoom in and out on specific areas of the blackboards or screens (providing a viewing experience more like being present in the room). The static format, although it does not allow for zooming in to read small blackboard writing, is downloadable and compatible with a wide variety of desktop and mobile video players.
Opening Conference and Boot Camp on Big Data (Other events)
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info Yulia Gel: The Role of Modern Social Media Data in Surveillance and Prediction of Infectious Diseases: from Time Series to Networks (January 12)
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info Steve Scott: Bayes and Big Data: The Consensus Monte Carlo Algorithm (January 13)
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info Emmanuel Candes: Randomized Matrix Computations in the Big Data World (January 13)
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info Mark Girolami: Differential Geometric Simulation Methods for Uncertainty Quantification in Large Scale PDE Systems (January 14)
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info Han Liu (Presented by Ethan X. Fang): Testing and Confidence Intervals for High Dimensional Proportional Hazards Model (January 14)
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info Richard Lockhart: Inference after LASSO -- limits and limitations (January 14)
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info Charmaine Dean: Wildfire and Forest Disease Prediction to Inform Forest Management: Statistical Science Challenges (January 15)
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info Douglas Woolford: Exploratory data analysis, visualization and modelling methods for large data in forest fire science (January 15)
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info Bo Li: Reconstructing Past Temperatures using Short- and Long-memory Models (January 15)
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info Martin Wainwright: Statistics meets optimization: Rigorous guarantees for solving nonconvex programs (January 16)
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info Anima Anundkumar: Guaranteed Non-Convex Optimization for Big Data (January 16)
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info Stephen Vavasis: Clique and Biclique: An example of using convex optimization for data mining (January 16)
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info Sheelagh Carpendale: Information Visualization: Making Data Accessible (January 19)
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info Dianne Cook: Data Visualization and Statistical Graphics in Big Data Analysis (January 19)
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info Chad Gaffield: Big Data vs. Human Complexity: An early status report on the central question of the 21st century (January 20)
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info Sallie Keller: Building Resilient Cities: Harnessing the Power of Urban Analytics (January 20)
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info Shane Reese: From Basis Expansions to Insurgency Prediction: Applications of Bayesian Compressive Sensing (January 20)
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info David Buckeridge: Using (Big) Data to Address Challenges in Public Health (January 21)
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info Lisa Lix: Chronic Disease Research and Surveillance: The Power of Big Databases, the Challenges of Data Quality (January 21)
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info Thérèse Stukel: Innovative uses of big data for health policy research (January 21)
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info Dale Schuurmans: Convex Methods for Latent Representation Learning (January 22)
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info Russ Salakhutdinov: Learning Structured, Robust, and Multimodal Models (January 22)
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info Sham Kakade: Tradeoffs in large scale learning: statistical accuracy vs. numerical precision (January 22)
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info Patrick Wolfe: Estimating Latent Variable Densities for Exchangeable Network Models (January 23)
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info Eric Kolaczyk: A Whirlwind Tour of Statistical Analysis of Network Data (January 23)
