Aldo G. Carranza

According to our database, Aldo G. Carranza authored at least 12 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

The Finetuner's Fallacy: When to Pretrain with Your Finetuning Data.

Christina Baek, Ricardo Pio Monti, David Schwab, Amro Abbas, Rishabh Adiga, Cody Blakeney, Maximilian Böther, Paul Burstein, Aldo Gael Carranza, Alvin Deng, Parth Doshi, Vineeth Dorna, Alex Fang, Tony Jiang, Siddharth Joshi, Brett W. Larsen, Jason Chan Lee, Katherine L. Mentzer, Luke Merrick, Haakon Mongstad, Fan Pan, Anshuman Suri, Darren Teh, Jason Telanoff, Jack Urbanek, Zhengping Wang, Josh Wills, Haoli Yin, Aditi Raghunathan, J. Zico Kolter, Bogdan Gaza, Ari Morcos, Matthew L. Leavitt, Pratyush Maini

CoRR, March, 2026

ÜberWeb: Insights from Multilingual Curation for a 20-Trillion-Token Dataset.

Aldo Gael Carranza, Kaleigh Mentzer, Ricardo Pio Monti, Alex Fang, Alvin Deng, Amro Abbas, Anshuman Suri, Brett W. Larsen, Cody Blakeney, Darren Teh, David Schwab, Diego Kiner, Fan Pan, Haakon Mongstad, Haoli Yin, Jack Urbanek, Jason Lee, Jason Telanoff, Josh Wills, Luke Merrick, Maximilian Böther, Parth Doshi, Paul Burstein, Pratyush Maini, Rishabh Adiga, Siddharth Joshi, Spandan Das, Tony Jiang, Vineeth Dorna, Zhengping Wang, Bogdan Gaza, Ari Morcos, Matthew L. Leavitt

CoRR, February, 2026

2025

Robust Offline Policy Learning with Observational Data from Multiple Sources.

Aldo Gael Carranza, Susan Athey

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024

Synthetic Query Generation for Privacy-Preserving Deep Retrieval Systems using Differentially Private Language Models.

Aldo G. Carranza, Rezsa Farahani, Natalia Ponomareva, Alexey Kurakin, Matthew Jagielski, Milad Nasr

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

2023

Federated Offline Policy Learning with Heterogeneous Observational Data.

Aldo Gael Carranza, Susan Athey

CoRR, 2023

Privacy-Preserving Recommender Systems with Synthetic Query Generation using Differentially Private Large Language Models.

Aldo Gael Carranza, Rezsa Farahani, Natalia Ponomareva, Alex Kurakin, Matthew Jagielski, Milad Nasr

CoRR, 2023

Flexible and Efficient Contextual Bandits with Heterogeneous Treatment Effect Oracles.

Aldo Gael Carranza, Sanath Kumar Krishnamurthy, Susan Athey

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Flexible and Efficient Contextual Bandits with Heterogeneous Treatment Effect Oracle.

Aldo Gael Carranza, Sanath Kumar Krishnamurthy, Susan Athey

CoRR, 2022

2021

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

2020

Higher-order Clustering in Complex Heterogeneous Networks.

Aldo G. Carranza, Ryan A. Rossi, Anup Rao, Eunyee Koh

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

2019

Heterogeneous Network Motifs.

Ryan A. Rossi, Nesreen K. Ahmed, Aldo G. Carranza, David Arbour, Anup Rao, Sungchul Kim, Eunyee Koh

CoRR, 2019

2018

Higher-order Spectral Clustering for Heterogeneous Graphs.

Aldo G. Carranza, Ryan A. Rossi, Anup Rao, Eunyee Koh

CoRR, 2018