| 2025 | UAI | Accurate and Scalable Stochastic Gaussian Process Regression via Learnable Coreset-based Variational Inference. | Mert Ketenci, Adler J. Perotte, Nomie Elhadad, Iigo Urteaga |
| 2023 | ACL | Multi-armed bandits for resource efficient, online optimization of language model pre-training: the use case of dynamic masking. | Iigo Urteaga, Moulay-Zadane Dradia, Tomer Lancewicki, Shahram Khadivi |
| 2022 | AMIA | Human, Data, and Algorithmic Perspectives to Inform the Design of RL-enabled Self-management Regimens. | Adrienne Pichon, Iigo Urteaga, Lena Mamykina, Noemie Elhadad |
| 2019 | AMIA | Learning Across a Healthcare Data Network to Improve Model Robustness and Evidence Reliability. | Nomie Elhadad, Iigo Urteaga, Alison Callahan, Jenna Reps, Patrick B. Ryan |
| 2018 | AISTATS | Variational inference for the multi-armed contextual bandit. | Iigo Urteaga, Chris Wiggins |
| 2017 | ICASSP | Multiple particle filtering for inference in the presence of state correlation of unknown mixing parameters. | Iigo Urteaga, Mnica F. Bugallo, Petar M. Djuric |
| 2016 | ICASSP | Sequential Monte Carlo sampling for correlated latent long-memory time-series. | Iigo Urteaga, Mnica F. Bugallo, Petar M. Djuric |
| 2015 | ICASSP | Particle filtering of ARMA processes of unknown order and parameters. | Iigo Urteaga, Petar M. Djuric |
| 2014 | ICASSP | Estimation of ARMA state processes by particle filtering. | Iigo Urteaga, Petar M. Djuric |
| 2013 | ICASSP | Replication and optimization of hedge fund risk factor exposures. | Douglas E. Johnston, Iigo Urteaga, Petar M. Djuric |
| 2011 | LCN | AWARE: Activity AWARE network clustering for wireless sensor networks. | Iigo Urteaga, Na Yu, Nicholas Hubbell, Qi Han |
| 2009 | PERCOM | REDFLAG: A Run-timE, Distributed, Flexible, Lightweight, And Generic Fault Detection Service for Data-Driven Wireless Sensor Applications. | Iigo Urteaga, Kevin Barnhart, Qi Han |