I’m a third year PhD student in Harvard’s Theory of Computation and ML Theory groups. I’m advised by Leslie Valiant and supported by an NSF Graduate Research Fellowship. Previously, I undergraduated in math at Princeton.
I’m interested in theoretical computer science broadly. In particular, I study the interplay between algorithms, learning, and strategic behavior.
bedelman@g.harvard.edu  Google Scholar  he/himPublications

Causal Strategic Linear Regression
with Yonadav Shavit and Brian Axelrod
ICML 2020 
The Multiplayer Colonel Blotto Game
with Enric BoixAdserà and Siddhartha Jayanti
EC 2020 
SGD on Neural Networks Learns Functions of Increasing Complexity
with Preetum Nakkiran, Gal Kaplun, Dimitris Kalimeris, Tristan Yang, Fred Zhang, and Boaz Barak
NeurIPS 2019 (Spotlight) 
Matrix Rigidity and the CrootLevPach Lemma
with Zeev Dvir
Theory of Computing, 2019