BIRS Live Stream Schedule
Below is the schedule of talks, not necessarily those that will be broadcast. We encourage participants to record and broadcast their talks, but it is up to them to press the button.
Statistical Aspects of Trustworthy Machine Learning (Feb 11 to 16)
Monday February 12 between 09:00 and 10:00 MDT [2024-02-12T09:00:00.00-06:00]
Kris Sankaran of UW-Madison, Interpretability and Scientific Foundation Models: A Review
Kris Sankaran of UW-Madison, Interpretability and Scientific Foundation Models: A Review
Monday February 12 between 10:30 and 11:00 MDT [2024-02-12T10:30:00.00-06:00]
Cynthia Rudin of Duke
Cynthia Rudin of Duke
Monday February 12 between 11:00 and 11:30 MDT [2024-02-12T11:00:00.00-06:00]
Hongtu Zhu of The University of North Carolina at Chapel Hill, Deep non-crossing quantile (NQ) learning
Hongtu Zhu of The University of North Carolina at Chapel Hill, Deep non-crossing quantile (NQ) learning
Tuesday February 13 between 09:30 and 10:00 MDT [2024-02-13T09:30:00.00-06:00]
Daniela Witten of University of Washington, Data thinning and its applications
Daniela Witten of University of Washington, Data thinning and its applications
Tuesday February 13 between 13:30 and 14:30 MDT [2024-02-13T13:30:00.00-06:00]
Sanmi Koyejo of Stanford University, Algorithmic Fairness; Why it’s hard and why it’s interesting (Tutorial)
Sanmi Koyejo of Stanford University, Algorithmic Fairness; Why it’s hard and why it’s interesting (Tutorial)
Thursday February 15 between 13:30 and 14:00 MDT [2024-02-15T13:30:00.00-06:00]
Tengyuan Liang of University of Chicago, Randomization Inference When N = 1
Tengyuan Liang of University of Chicago, Randomization Inference When N = 1
Thursday February 15 between 15:30 and 16:00 MDT [2024-02-15T15:30:00.00-06:00]
Stephanie Hicks of Johns Hopkins, Self-organized discussion: report from Monday
Stephanie Hicks of Johns Hopkins, Self-organized discussion: report from Monday
Friday February 16 between 08:45 and 10:00 MDT [2024-02-16T08:45:00.00-06:00]
Jun Yan of University of Connecticut, Closing discussion: Next Steps
Jun Yan of University of Connecticut, Closing discussion: Next Steps
