Luiz F. O. Chamon

Luiz F. O. Chamon

University of Pennsylvania

H-index: 19

North America-United States

About Luiz F. O. Chamon

Luiz F. O. Chamon, With an exceptional h-index of 19 and a recent h-index of 18 (since 2020), a distinguished researcher at University of Pennsylvania, specializes in the field of Optimization, Machine Learning, Signal processing, Control, Statistics.

His recent articles reflect a diverse array of research interests and contributions to the field:

Reply to'Comments on Graphon Signal Processing'[arXiv: 2310.14683]

Near-optimal solutions of constrained learning problems

Resilient constrained learning

Distributed universal adaptive networks

State augmented constrained reinforcement learning: Overcoming the limitations of learning with rewards

Transferability properties of graph neural networks

Learning globally smooth functions on manifolds

Automatic data augmentation via invariance-constrained learning

Luiz F. O. Chamon Information

University

Position

___

Citations(all)

1477

Citations(since 2020)

1345

Cited By

519

hIndex(all)

19

hIndex(since 2020)

18

i10Index(all)

29

i10Index(since 2020)

26

Email

University Profile Page

University of Pennsylvania

Google Scholar

View Google Scholar Profile

Luiz F. O. Chamon Skills & Research Interests

Optimization

Machine Learning

Signal processing

Control

Statistics

Top articles of Luiz F. O. Chamon

Title

Journal

Author(s)

Publication Date

Reply to'Comments on Graphon Signal Processing'[arXiv: 2310.14683]

arXiv preprint arXiv:2401.05326

Luana Ruiz

Luiz FO Chamon

Alejandro Ribeiro

2024/1/5

Near-optimal solutions of constrained learning problems

arXiv preprint arXiv:2403.11844

Juan Elenter

Luiz FO Chamon

Alejandro Ribeiro

2024/3/18

Resilient constrained learning

Advances in Neural Information Processing Systems

Ignacio Hounie

Alejandro Ribeiro

Luiz FO Chamon

2024/2/13

Distributed universal adaptive networks

IEEE Transactions on Signal Processing

Cassio G Lopes

Vítor H Nascimento

Luiz FO Chamon

2023/5/16

State augmented constrained reinforcement learning: Overcoming the limitations of learning with rewards

IEEE Transactions on Automatic Control

Miguel Calvo-Fullana

Santiago Paternain

Luiz FO Chamon

Alejandro Ribeiro

2023/9/25

Transferability properties of graph neural networks

IEEE Transactions on Signal Processing

Luana Ruiz

Luiz FO Chamon

Alejandro Ribeiro

2023/7/21

Learning globally smooth functions on manifolds

Juan Cervino

Luiz FO Chamon

Benjamin David Haeffele

Rene Vidal

Alejandro Ribeiro

2023/7/3

Automatic data augmentation via invariance-constrained learning

Ignacio Hounie

Luiz FO Chamon

Alejandro Ribeiro

2023/7/3

Constrained learning with non-convex losses

IEEE Transactions on Information Theory

Luiz FO Chamon

Santiago Paternain

Miguel Calvo-Fullana

Alejandro Ribeiro

2022/7/1

Probabilistically robust learning: Balancing average and worst-case performance

Alexander Robey

Luiz Chamon

George J Pappas

Hamed Hassani

2022/6/28

Safe policies for reinforcement learning via primal-dual methods

IEEE Transactions on Automatic Control

Santiago Paternain

Miguel Calvo-Fullana

Luiz FO Chamon

Alejandro Ribeiro

2022/2/22

Graphon filters: Signal processing in very large graphs

Luana Ruiz

Luiz FO Chamon

Alejandro Ribeiro

2021/1/18

Transferable Graph Neural Networks on Large-Scale Stochastic Graphs

Luana Ruiz

Luiz FO Chamon

Alejandro Ribeiro

2021/10/31

Graphon signal processing

IEEE Transactions on Signal Processing

Luana Ruiz

Luiz FO Chamon

Alejandro Ribeiro

2021/8/24

Towards Safe Continuing Task Reinforcement Learning

Miguel Calvo-Fullana

Luiz FO Chamon

Santiago Paternain

2021/5/25

Source seeking in unknown environments with convex obstacles

Bruno A Angélico

Luiz FO Chamon

Santiago Paternain

Alejandro Ribeiro

George J Pappas

2021/5/25

Approximately supermodular scheduling subject to matroid constraints

IEEE Transactions on Automatic Control

Luiz FO Chamon

Alexandre Amice

Alejandro Ribeiro

2021/4/5

Adversarial robustness with semi-infinite constrained learning

Advances in Neural Information Processing Systems

Alexander Robey

Luiz Chamon

George J Pappas

Hamed Hassani

Alejandro Ribeiro

2021/12/6

Approximate supermodularity of Kalman filter sensor selection

IEEE Transactions on Automatic Control

Luiz FO Chamon

George J Pappas

Alejandro Ribeiro

2020/2/13

The empirical duality gap of constrained statistical learning

Luiz FO Chamon

Santiago Paternain

Miguel Calvo-Fullana

Alejandro Ribeiro

2020/5/4

See List of Professors in Luiz F. O. Chamon University(University of Pennsylvania)

Co-Authors

H-index: 109
Yonina Eldar

Yonina Eldar

Weizmann Institute of Science

H-index: 105
George J. Pappas

George J. Pappas

University of Pennsylvania

H-index: 71
Alejandro Ribeiro

Alejandro Ribeiro

University of Pennsylvania

H-index: 47
Boon Thau Loo

Boon Thau Loo

University of Pennsylvania

H-index: 30
Vítor H. Nascimento

Vítor H. Nascimento

Universidade de São Paulo

H-index: 21
Cassio Guimaraes Lopes

Cassio Guimaraes Lopes

Universidade de São Paulo

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