• Fast and Accurate Least-Mean-Squares Solvers. [presentations][oral presentation][short interview]

with Ibrahim Jubran and Dan Feldman.

Proc. 33rd Conference on Neural Information Processing Systems (NIPS'19) (Oral + Outstanding Paper Honorable Mention)

• Sets Clustering.

with Ibrahim Jubran, Murad Tukan, and Dan Feldman.

The International Conference on Machine Learning (ICML'20)

• Tight Sensitivity Bounds for Smaller Coresets.

with Adiel Statman and Dan Feldman.

Knowledge Discovery and Data Mining (KDD'20)

• Coresets for Near-Convex Functions.

with Murad Tukan and Dan Feldman.

Proc. 34rd Conference on Neural Information Processing Systems (NIPS'20) .

• Faster PAC Learning and Smaller Coresets via Smoothed Analysis. (under review)

with Ibrahim Jubran, Murad Tukan, and Dan Feldman

• Introduction to Coresets: Accurate Coresets. (under review)

with Ibrahim Jubran and Dan Feldman.

• Compressed Deep Networks: Goodbye SVD, Hello Robust Low-Rank Approximation. (under review)

with Murad Tukan, Matan Weksler (Samsung Research), and Dan Feldman .

• Deep Learning meets Projective Clustering. (under review)

with Harry Lang (MIT), Daniela Rus (MIT), and Dan Feldman .

Program Committee (PC) Member:

• AAAI 2020, CVPR 2021