Vitoria Guardieiro

PhD Student @ UPenn CIS

A more up-to-date list of my publications can be found here.

Manuscripts Under Review

  • V. Guardieiro, A. Khare, A. Stein, E. Wong. “Instruction following by principled attention boosting”. Under review at NeurIPS 2026. Earlier versions presented at NeurIPS 2025 Workshop MechInterp (spotlight), ICLR 2026 Workshop Sci4DL, and ICLR 2026 Workshop Trustworthy AI.

  • V. Guardieiro, F. L. Usberti, J. Poco, F. J. V. Zuben, M. M. Raimundo. “An efficient box-based scalarization algorithm for non-convex multi-objective optimization”. Under review at European Journal of Operational Research.

Published

  1. G. Valdrighi, A. M. Ribeiro, Jansen S. B. Pereira, V. Guardieiro, A. Hendricks, D. M. Filho, J. D. N. Garcia, F. F. Bocca, T. B. Veronese, L. Wanner, M. M. Raimundo. (2025). “Best practices for responsible machine learning in credit scoring”. Neural Computing and Applications.

  2. P. Silva, V. Guardieiro, B. Barr, C. Silva, and L. G. Nonato. (2025). “Visagreement: Visualizing and Exploring Explanations (Dis)Agreement”. IEEE Transactions on Visualization and Computer Graphics.

  3. V. Guardieiro, F. I. de Oliveira, H. Doraiswamy, L. G. Nonato and C. Silva. (2024). “TopoMap++: A Faster and More Space Efficient Technique to Compute Projections with Topological Guarantees”. IEEE Transactions on Visualization and Computer Graphics.

  4. P. Solunke, V. Guardieiro, J. Rulff, P. Xenopoulos, G. Y. Y. Chan, B. Barr, L. G. Nonato, and C. Silva. (2024). “Mountaineer: Topology-Driven Visual Analytics for Comparing Local Explanations”. IEEE Transactions on Visualization and Computer Graphics.

  5. V. Guardieiro, M. M. Raimundo, J. Poco. (2023). “Multi-Objective Machine Learning - A Systematic Review” (MS dissertation). School of Applied Mathematics, Fundação Getulio Vargas.

  6. V. Guardieiro, M. M. Raimundo, J. Poco. (2023). “Enforcing fairness using ensemble of diverse Pareto-optimal models”. Data Mining and Knowledge Discovery.

  7. V. Guardieiro, M. M. Raimundo, J. Poco. (2022). “Analyzing the Equity of the Brazilian National High School Exam by Validating the Item Response Theory’s Invariance”. Proceedings of the 15th International Conference on Educational Data Mining.

  8. V. Guardieiro, J. Poco. (2021). “Exploring counterfactual antecedents to reduce criminality in Rio de Janeiro” (Project report). School of Applied Mathematics, Fundação Getulio Vargas.


Last update: Jul 23, 2026