Iñigo Urteaga

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 31

Top Topics

Gaussian Processes

Predictive Model

Contextual Bandit

Importance Sampling

Top Venues

npj Digit. Medicine

Ad Hoc Networks

Publications

Mert Ketenci, Iñigo Urteaga, Victor Alfonso Rodriguez, Noémie Elhadad, Adler J. Perotte
Variational Shapley Network: A Probabilistic Approach to Self-Explaining Shapley values with Uncertainty Quantification. CoRR (2024)
Iñigo Urteaga, Moulay-Zaïdane Draïdia, Tomer Lancewicki, Shahram Khadivi
Multi-armed bandits for resource efficient, online optimization of language model pre-training: the use case of dynamic masking. ACL (Findings) (2023)
Mert Ketenci, Adler J. Perotte, Noémie Elhadad, Iñigo Urteaga
A Coreset-based, Tempered Variational Posterior for Accurate and Scalable Stochastic Gaussian Process Inference. CoRR (2023)
Iñigo Urteaga, Moulay-Zaïdane Draïdia, Tomer Lancewicki, Shahram Khadivi
Multi-armed bandits for online optimization of language model pre-training: the use case of dynamic masking. CoRR (2022)
Adrienne Pichon, Iñigo Urteaga, Lena Mamykina, Noemie Elhadad
Human, Data, and Algorithmic Perspectives to Inform the Design of RL-enabled Self-management Regimens. AMIA (2022)
Iñigo Urteaga, Kathy Li, Amanda Shea, Virginia J. Vitzthum, Chris H. Wiggins, Noemie Elhadad
A Generative Modeling Approach to Calibrated Predictions: A Use Case on Menstrual Cycle Length Prediction. MLHC (2021)
Kathy Li, Iñigo Urteaga, Amanda Shea, Virginia J. Vitzthum, Chris H. Wiggins, Noémie Elhadad
A predictive model for next cycle start date that accounts for adherence in menstrual self-tracking. J. Am. Medical Informatics Assoc. 29 (1) (2021)
Kathy Li, Iñigo Urteaga, Amanda Shea, Virginia J. Vitzthum, Chris H. Wiggins, Noémie Elhadad
A generative, predictive model for menstrual cycle lengths that accounts for potential self-tracking artifacts in mobile health data. CoRR (2021)
Kathy Li, Iñigo Urteaga, Chris H. Wiggins, Anna Druet, Amanda Shea, Virginia J. Vitzthum, Noémie Elhadad
Characterizing physiological and symptomatic variation in menstrual cycles using self-tracked mobile-health data. npj Digit. Medicine 3 (2020)
Iñigo Urteaga, Mollie McKillop, Noémie Elhadad
Learning endometriosis phenotypes from patient-generated data. npj Digit. Medicine 3 (2020)
Iñigo Urteaga, Tristan Bertin, Theresa M. Hardy, David J. Albers, Noémie Elhadad
Multi-Task Gaussian Processes and Dilated Convolutional Networks for Reconstruction of Reproductive Hormonal Dynamics. CoRR (2019)
Iñigo Urteaga, Tristan Bertin, Theresa M. Hardy, David J. Albers, Noémie Elhadad
Multi-Task Gaussian Processes and Dilated Convolutional Networks for Reconstruction of Reproductive Hormonal Dynamics. MLHC (2019)
Noémie Elhadad, Iñigo Urteaga, Alison Callahan, Jenna Reps, Patrick B. Ryan
Learning Across a Healthcare Data Network to Improve Model Robustness and Evidence Reliability. AMIA (2019)
Iñigo Urteaga, Mollie McKillop, Sharon Lipsky Gorman, Noémie Elhadad
Phenotyping Endometriosis through Mixed Membership Models of Self-Tracking Data. CoRR (2018)
Iñigo Urteaga, Chris Wiggins
Variational inference for the multi-armed contextual bandit. AISTATS (2018)
Iñigo Urteaga, Chris H. Wiggins
Nonparametric Gaussian mixture models for the multi-armed contextual bandit. CoRR (2018)
Iñigo Urteaga, Chris H. Wiggins
(Sequential) Importance Sampling Bandits. CoRR (2018)
Iñigo Urteaga, Chris H. Wiggins
Bayesian bandits: balancing the exploration-exploitation tradeoff via double sampling. CoRR (2017)
Iñigo Urteaga, Chris H. Wiggins
Variational inference for the multi-armed contextual bandit. CoRR (2017)
Iñigo Urteaga, Petar M. Djuric
Sequential Estimation of Hidden ARMA Processes by Particle Filtering - Part I. IEEE Trans. Signal Process. 65 (2) (2017)
Iñigo Urteaga, David J. Albers, Marija Vlajic Wheeler, Anna Druet, Hans Raffauf, Noémie Elhadad
Towards Personalized Modeling of the Female Hormonal Cycle: Experiments with Mechanistic Models and Gaussian Processes. CoRR (2017)
Iñigo Urteaga, Petar M. Djuric
Sequential Estimation of Hidden ARMA Processes by Particle Filtering - Part II. IEEE Trans. Signal Process. 65 (2) (2017)
Iñigo Urteaga, Mónica F. Bugallo, Petar M. Djuric
Sequential Monte Carlo for inference of latent ARMA time-series with innovations correlated in time. EURASIP J. Adv. Signal Process. 2017 (2017)
Iñigo Urteaga, Mónica F. Bugallo, Petar M. Djuric
Multiple particle filtering for inference in the presence of state correlation of unknown mixing parameters. ICASSP (2017)
Iñigo Urteaga, Mónica F. Bugallo, Petar M. Djuric
Sequential Monte Carlo methods under model uncertainty. SSP (2016)
Iñigo Urteaga, Mónica F. Bugallo, Petar M. Djuric
Sequential Monte Carlo sampling for correlated latent long-memory time-series. ICASSP (2016)
Iñigo Urteaga, Mónica F. Bugallo, Petar M. Djuric
Sequential Monte Carlo sampling for systems with fractional Gaussian processes. EUSIPCO (2015)
José María Cabero, Iñigo Urteaga, Virginia Molina, Fidel Liberal, José Luis Martín
Reliability of Bluetooth-based connectivity traces for the characterization of human interaction. Ad Hoc Networks 24 (2015)
Susana Pérez, José María Cabero, Iñigo Urteaga
DTN Routing Optimised by Human Routines: The HURRy Protocol. WWIC (2015)
Iñigo Urteaga, Mónica F. Bugallo, Petar M. Djuric
Filtering of nonlinear time-series coupled by fractional Gaussian processes. CAMSAP (2015)
Iñigo Urteaga, Petar M. Djuric
Particle filtering of ARMA processes of unknown order and parameters. ICASSP (2015)
Iñigo Urteaga, Petar M. Djuric
Estimation of ARMA state processes by particle filtering. ICASSP (2014)
José María Cabero, Virginia Molina, Iñigo Urteaga, Fidel Liberal, José Luis Martín
Acquisition of human traces with Bluetooth technology: Challenges and proposals. Ad Hoc Networks 12 (2014)
Iñigo Urteaga, Na Yu, Nicholas Hubbell, Qi Han
AWARE: Activity aware maintenance of communication structures for wireless sensor networks. Pervasive Mob. Comput. 13 (2014)
Douglas E. Johnston, Iñigo Urteaga, Petar M. Djuric
Replication and optimization of hedge fund risk factor exposures. ICASSP (2013)
Iñigo Urteaga, Na Yu, Nicholas Hubbell, Qi Han
AWARE: Activity AWARE network clustering for wireless sensor networks. LCN (2011)
Iñigo Urteaga, Iraide Unanue, Javier Del Ser, Pedro J. Sánchez, Aitor Rodriguez
On the Design of a Scalable Multimedia Streaming System based on Receiver-driven Flow and Congestion Awareness. SIGMAP (2010)
Iñigo Urteaga, Kevin Barnhart, Qi Han
REDFLAG: A Run-timE, Distributed, Flexible, Lightweight, And Generic Fault Detection Service for Data-Driven Wireless Sensor Applications. PerCom (2009)
Iñigo Urteaga, Kevin Barnhart, Qi Han
REDFLAG: A Run-timE, Distributed, Flexible, Lightweight, And Generic fault detection service for data-driven wireless sensor applications. Pervasive Mob. Comput. 5 (5) (2009)