Spectral Clustering Revisited: Information Hidden in the Fiedler Vector. - Adela DePavia; Stefan Steinerberger (CoRR, 2020)

Error-Tolerant Exact Query Learning of Finite Set Partitions with Same-Cluster Oracle. - Adela Frances DePavia; Olga Medrano Martín del Campo; Erasmo Tani (CoRR, 2023)

Hypergraph Diffusions and Resolvents for Norm-Based Hypergraph Laplacians. - Konstantinos Ameranis; Antares Chen; Adela Frances DePavia; Lorenzo Orecchia; Erasmo Tani (CoRR, 2023)

Learning-Based Algorithms for Graph Searching Problems. - Adela Frances DePavia; Erasmo Tani; Ali Vakilian (AISTATS, 2024)

Fast Algorithms for Hypergraph PageRank with Applications to Semi-Supervised Learning. - Konstantinos Ameranis; Adela Frances DePavia; Lorenzo Orecchia; Erasmo Tani (ICML, 2024)

Optimal Algorithms for Learning Partitions with Faulty Oracles. - Adela Frances DePavia; Olga Medrano Martín del Campo; Erasmo Tani (NeurIPS, 2024)

Causal Discovery over High-Dimensional Structured Hypothesis Spaces with Causal Graph Partitioning. - Ashka Shah; Adela Frances DePavia; Nathaniel C. Hudson; Ian T. Foster; Rick Stevens (Trans. Mach. Learn. Res., 2025)

Faster Adaptive Optimization via Expected Gradient Outer Product Reparameterization. - Adela DePavia; Vasileios Charisopoulos; Rebecca Willett (CoRR, 2025)