Higher-order Spectral Clustering for Heterogeneous Graphs. - Aldo G. Carranza; Ryan A. Rossi; Anup Rao 002; Eunyee Koh (CoRR, 2018)

Heterogeneous Network Motifs. - Ryan A. Rossi; Nesreen K. Ahmed; Aldo G. Carranza; David Arbour; Anup Rao 002; Sungchul Kim; Eunyee Koh (CoRR, 2019)

Higher-order Clustering in Complex Heterogeneous Networks. - Aldo G. Carranza; Ryan A. Rossi; Anup Rao 002; Eunyee Koh (KDD, 2020)

Heterogeneous Graphlets. - Ryan A. Rossi; Nesreen K. Ahmed; Aldo G. Carranza; David Arbour; Anup B. Rao; Sungchul Kim; Eunyee Koh (ACM Trans. Knowl. Discov. Data, 2021)

Flexible and Efficient Contextual Bandits with Heterogeneous Treatment Effect Oracle. - Aldo Gael Carranza; Sanath Kumar Krishnamurthy; Susan Athey (CoRR, 2022)

Flexible and Efficient Contextual Bandits with Heterogeneous Treatment Effect Oracles. - Aldo Gael Carranza; Sanath Kumar Krishnamurthy; Susan Athey (AISTATS, 2023)

Privacy-Preserving Recommender Systems with Synthetic Query Generation using Differentially Private Large Language Models. - Aldo Gael Carranza; Rezsa Farahani; Natalia Ponomareva 001; Alex Kurakin; Matthew Jagielski; Milad Nasr (CoRR, 2023)

Federated Offline Policy Learning with Heterogeneous Observational Data. - Aldo Gael Carranza; Susan Athey (CoRR, 2023)

Synthetic Query Generation for Privacy-Preserving Deep Retrieval Systems using Differentially Private Language Models. - Aldo G. Carranza; Rezsa Farahani; Natalia Ponomareva 001; Alexey Kurakin; Matthew Jagielski; Milad Nasr (NAACL-HLT, 2024)

Robust Offline Policy Learning with Observational Data from Multiple Sources. - Aldo Gael Carranza; Susan Athey (AISTATS, 2025)