FieldsLive

January 27, 2015

FieldsLive: Live Streaming from the Fields Institute

FieldsLive is a streaming system that gives viewers the ability to watch Fields lectures live from anywhere in the world. Developed as a new way for the Institute to work together with our partner universities and the scientific community, FieldsLive makes Fields lectures and courses accessible to a global audience. To enhance the viewing experience, the system has two unique features:
  1. Personalized views: click to zoom in or out or pan from side to side. This feature is particularly useful for blackboard talks, giving viewers the ability to choose which section of the board they want to see.

  2. Interactive remote participation (for select events): with just a web browser, webcam, and Flash Player plug-in, participants can ask questions and make comments from remote locations, as if they were present in the lecture room.

    An access key is required for interactive remote participation (available for select events only). To request an access key, send an e-mail with your name and academic affiliation to live@fields.utoronto.ca at least 24 hours prior to the event. No access key is needed to simply watch and listen.

Please note: The system is currently undergoing development and testing. In the event of an audio or video freeze, try pressing Zoom In or Zoom Out, or reload your browser window.

Video Archive

A few days after each lecture, a recorded video will be made available, which can be viewed or downloaded through our video archive.

Live Now

A few minutes before each event, a link will appear here that will allow you to begin viewing or interacting.

This page will automatically refresh itself.

Upcoming FieldsLive Events

Wednesday January 28

Workshop on Big Data and Statistical Machine Learning

9:30 a.m. Samy Bengio: The Battle Against the Long Tail

11:00 a.m. Richard Zemel: Learning Rich But Fair Representations

2:00 p.m. David Blei

3:30 p.m. Yura Burda: Raising the Reliability of Estimates of Generative Performance of MRFs

Quantitative Finance Seminar

5:00 p.m. (first part) Paolo Guasoni: Nonlinear Price Impact and Portfolio Choice

5:00 p.m. (second part) Anna Obizhaeva: High-Frequency Trading Invariants for Equity-Index Futures

Thursday January 29

Workshop on Big Data and Statistical Machine Learning

9:30 a.m. Joelle Pineau: Practical kernel-based reinforcement learning

11:00 a.m. Cynthia Rudin: Thoughts on Interpretable Machine Learning

2:00 p.m. Radford Neal: Learning to Randomize and Remember in Partially-Observed Environments

Friday January 30

Workshop on Big Data and Statistical Machine Learning

9:30 a.m. Alexander Schwing: Deep Learning meets Structured Prediction

11:00 a.m. Ruslan Salakhutdinov: Closing remarks

1:00 p.m. Graduate Course on Topics in Inference for Big Data

Nancy Reid and Mu Zhu: Inference for Big Data,Lecture 4