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- Body, Mind, Space, and Spirit: Margaret Rigg Art Collection8:00 am
- Machine Learning and Causality: Building Efficient, Reliable Models for Decision-Making10:00 am
- Walter Rodney Lecture: Can One Talk of a Decolonial Turn in France Today?12:30 pm
- Creative Writing 3:00 pm
- Managing Anxiety3:00 pm
- LEAD Español3:30 pm
- JACKBOX GAMES 4:00 pm
- Money Matters4:00 pm
- Overview of CCD Services & Resources for PhD Students4:00 pm
- LGBTQ+ Support Group4:00 pm
- Medicare for All: A Conversation4:30 pm
- Mindfulness Meditation5:00 pm
- Screening of “How I Live” Documentary and Q & A with Film Team5:30 pm
- Movies and More: Suffragette (2015)8:00 pm
Machine Learning and Causality: Building Efficient, Reliable Models for Decision-Making
Speaker: Maggie Makar, CSAIL MIT
Current techniques for causal inference typically rely on having access to large amounts of data, limiting their applicability to data-constrained settings. In addition, evidence has shown that most predictive models are insufficiently robust with respect to shifts at test time. Makar will present her work on building novel techniques addressing these problems.
ZOOM LINK: https://bostonu.zoom.us/j/99234972161?pwd=T0pnTVdPRm5TZUJWNEJ1ZHdnVzhMdz09
When | 10:00 am to 11:30 am on Monday, March 22, 2021 |
---|---|
Contact Organization | Faculty of Computing & Data Sciences |
Fees | Free |
Speakers | Maggie Makar |