Friday Nov. 17, 2023

Parking Instructions (top right of page)

Schedule

9:00am - 9:40am Breakfast

9:40am - 10:00am Poster Introductions

10:00am - 10:25am Ellen Vitercik, Stanford: Leveraging Reviews: Learning to Price with Buyer and Seller Uncertainty

10:30am - 10:55am Vasilis Syrgkanis, Stanford: Automatic Debiased Machine Learning

11:00am - 11:15am Break

11:15am - 11:40am Nina Mishra, Amazon: Forging Pathways to Machine Learning in Healthcare

11:45am - 12:10pm Ilya Mironov, Meta: Machine Learning and Cryptanalytic Thinking

12:15pm - 1:00pm Lunch (served, free registration required)

1:00pm - 2:00pm Poster Session

2:00pm - 2:45pm Graduating bits I

2:45pm - 3:00pm Break

3:00pm - 3:45pm Graduating bits II

3:45pm - 4:00pm Break

4:00pm - 4:25pm Badih Ghazi, Google: Differentially Private Ad Measurement

4:30pm - 4:55pm Preetum Nakkiran, Apple: What Algorithms can Transformers Learn? A Study in Length Generalization