I'm a fifth year Ph.D. student at Penn working with at Alejandro Ribeiro.
I study the theoretical underpinnings of constrained learning and its applications to
signal processing, control, and machine learning.
SELECTED PUBLICATIONS
- L.F.O. Chamon, A. Amice, S. Paternain, and A. Ribeiro, "Resilient control: Compromising to adapt". CDC, 2020.
- L.F.O. Chamon, S. Paternain, M. Calvo-Fullana, and A. Ribeiro, "The empirical duality gap of constrained statistical learning". ICASSP, 2020 (Best Student Paper award).
- L.F.O. Chamon, S. Paternain, M. Calvo-Fullana, and A. Ribeiro, "The empirical duality gap of constrained statistical learning". ICASSP, 2020 (Best Student Paper award).
- L.F.O. Chamon, A. Amice, and A. Ribeiro, "Approximately supermodular scheduling subject to matroid constraints." Submitted to IEEE TAC.
- S. Paternain, L.F.O. Chamon, M. Calvo-Fullana, and A. Ribeiro, "Constrained reinforcement learning has zero duality gap."
NeurIPS 2019. - L.F.O. Chamon, Y.C. Eldar, and A. Ribeiro, "Functional nonlinear sparse models." IEEE TSP, 2020.
NEWS
- July 14th, 2020 — New preprint: "Probably Approximately Correct Constrained Learning" (arXiv).
- May 5th, 2020 — Received both best student paper and best paper awards at ICASSP 2020. Check out papers [1, 2] and video [1].
- April 9th, 2020 — New preprint: "Resilient control: Compromising to adapt" submitted to IEEE CDC (arXiv).
- April 9th, 2020 — New preprint: "Risk-constrained linear-quadratic regulators" submitted to IEEE CDC (arXiv).
- April 6th, 2020 — "The empirical duality gap of constrained statistical learning" has been nominated for Best Student Paper award at ICASSP 2020 (arXiv, video).
- April 1st, 2020 — New preprint: "Graphon signal processing" submitted to IEEE TSP (arXiv).
- March 20th, 2020 — "Functional nonlinear sparse models" was accepted for publication on IEEE TSP (arXiv).
- February 7th, 2020 — Patent "Sparse cascaded-integrator-comb filters" with Analog Devices is out.