Santiago Paternain
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
10
Venues
4
Active years
2018–2024
Best venue rank
A*
Where they publish
Papers
10 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | ACSSC | A Tensor Low-Rank Approximation for Value Functions in Multi-Task Reinforcement Learning. | Sergio Rozada, Santiago Paternain, Juan Andrs Bazerque, Antonio G. Marques |
| 2024 | ICASSP | A Method for Bilevel Optimization with Convex Lower-Level Problem. | Han Shen, Santiago Paternain, Gaowen Liu, Ramana Kompella, Tianyi Chen |
| 2023 | ACSSC | Learning Non-myopic Power Allocation in Constrained Scenarios. | Arindam Chowdhury, Santiago Paternain, Gunjan Verma, Ananthram Swami, Santiago Segarra |
| 2023 | CISS | Policy Gradients for Probabilistic Constrained Reinforcement Learning. | Weiqin Chen, Dharmashankar Subramanian, Santiago Paternain |
| 2020 | ICASSP | The Empirical Duality Gap of Constrained Statistical Learning. | Luiz F. O. Chamon, Santiago Paternain, Miguel Calvo-Fullana, Alejandro Ribeiro |
| 2020 | ICRA | Sufficiently Accurate Model Learning. | Clark Zhang, Arbaaz Khan, Santiago Paternain, Alejandro Ribeiro |
| 2019 | ACSSC | Learning Gaussian Processes with Bayesian Posterior Optimization. | Luiz F. O. Chamon, Santiago Paternain, Alejandro Ribeiro |
| 2019 | ICASSP | Sparse Learning of Parsimonious Reproducing Kernel Hilbert Space Models. | Maria Peifer, Luiz F. O. Chamon, Santiago Paternain, Alejandro Ribeiro |
| 2018 | ACSSC | Decentralized Online Nonparametric Learning. | Alec Koppel, Santiago Paternain, Cdric Richard, Alejandro Ribeiro |
| 2018 | ACSSC | Locally Adaptive Kernel Estimation Using Sparse Functional Programming. | Maria Peifer, Luiz F. O. Chamon, Santiago Paternain, Alejandro Ribeiro |