FieldsLive: Live Streaming from the Fields Institute
Fields
Live 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:
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.
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
Tuesday January 27
Workshop on Big Data and Statistical Machine Learning
9:30 a.m. Brendan Frey: The infinite genome project: Using statistical induction to understand the genome and improve human health
11:00 a.m. Daniel Roy: Mondrian Forests: Efficient Online Random Forests
2:00 p.m. Raquel Urtasun
2:00 p.m. Geometric Analysis Colloquium
Cecile Huneau
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
