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ORCIDIñigo Urteaga
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- affiliation: Basque Center for Applied Mathematic, Bilbao, Spain
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2020 – today
- 2024
[i11]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 abs/2402.04211 (2024)- 2023
- [c18]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: 10609-10627 - [e1]Kaivalya Deshpande, Madalina Fiterau, Shalmali Joshi, Zachary C. Lipton, Rajesh Ranganath, Iñigo Urteaga, Serene Yeung:
Machine Learning for Healthcare Conference, MLHC 2023, 11-12 August 2023, New York, USA. Proceedings of Machine Learning Research 219, PMLR 2023 [contents] - [i10]Mert Ketenci, Adler J. Perotte, Noémie Elhadad, Iñigo Urteaga:
A Coreset-based, Tempered Variational Posterior for Accurate and Scalable Stochastic Gaussian Process Inference. CoRR abs/2311.01409 (2023) - 2022
- [c17]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 - [i9]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 abs/2203.13151 (2022) - 2021
- [j10]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): 3-11 (2021) - [c16]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: 535-566 - [i8]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 abs/2102.12439 (2021) - 2020
- [j9]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) - [j8]Iñigo Urteaga, Mollie McKillop, Noémie Elhadad:
Learning endometriosis phenotypes from patient-generated data. npj Digit. Medicine 3 (2020)
2010 – 2019
- 2019
- [c15]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 - [c14]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: 66-90 - [i7]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 abs/1908.10226 (2019) - 2018
- [c13]Iñigo Urteaga, Chris Wiggins:
Variational inference for the multi-armed contextual bandit. AISTATS 2018: 698-706 - [i6]Iñigo Urteaga, Chris H. Wiggins:
Nonparametric Gaussian mixture models for the multi-armed contextual bandit. CoRR abs/1808.02932 (2018) - [i5]Iñigo Urteaga, Chris H. Wiggins:
(Sequential) Importance Sampling Bandits. CoRR abs/1808.02933 (2018) - [i4]Iñigo Urteaga, Mollie McKillop, Sharon Lipsky Gorman, Noémie Elhadad:
Phenotyping Endometriosis through Mixed Membership Models of Self-Tracking Data. CoRR abs/1811.03431 (2018) - 2017
- [j7]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: 84 (2017) - [j6]Iñigo Urteaga, Petar M. Djuric:
Sequential Estimation of Hidden ARMA Processes by Particle Filtering - Part I. IEEE Trans. Signal Process. 65(2): 482-493 (2017) - [j5]Iñigo Urteaga, Petar M. Djuric:
Sequential Estimation of Hidden ARMA Processes by Particle Filtering - Part II. IEEE Trans. Signal Process. 65(2): 494-504 (2017) - [c12]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: 3849-3853 - [i3]Iñigo Urteaga, Chris H. Wiggins:
Bayesian bandits: balancing the exploration-exploitation tradeoff via double sampling. CoRR abs/1709.03162 (2017) - [i2]Iñigo Urteaga, Chris H. Wiggins:
Variational inference for the multi-armed contextual bandit. CoRR abs/1709.03163 (2017) - [i1]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 abs/1712.00117 (2017) - 2016
- [c11]Iñigo Urteaga, Mónica F. Bugallo, Petar M. Djuric:
Sequential Monte Carlo sampling for correlated latent long-memory time-series. ICASSP 2016: 6580-6584 - [c10]Iñigo Urteaga, Mónica F. Bugallo, Petar M. Djuric:
Sequential Monte Carlo methods under model uncertainty. SSP 2016: 1-5 - 2015
- [j4]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: 135-146 (2015) - [c9]Iñigo Urteaga, Mónica F. Bugallo, Petar M. Djuric:
Filtering of nonlinear time-series coupled by fractional Gaussian processes. CAMSAP 2015: 489-492 - [c8]Iñigo Urteaga, Mónica F. Bugallo, Petar M. Djuric:
Sequential Monte Carlo sampling for systems with fractional Gaussian processes. EUSIPCO 2015: 1246-1250 - [c7]Iñigo Urteaga, Petar M. Djuric:
Particle filtering of ARMA processes of unknown order and parameters. ICASSP 2015: 4105-4109 - [c6]Susana Pérez, José María Cabero, Iñigo Urteaga:
DTN Routing Optimised by Human Routines: The HURRy Protocol. WWIC 2015: 299-312 - 2014
- [j3]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: 2-16 (2014) - [j2]Iñigo Urteaga, Na Yu, Nicholas Hubbell, Qi Han:
AWARE: Activity aware maintenance of communication structures for wireless sensor networks. Pervasive Mob. Comput. 13: 111-124 (2014) - [c5]Iñigo Urteaga, Petar M. Djuric:
Estimation of ARMA state processes by particle filtering. ICASSP 2014: 8033-8037 - 2013
- [c4]Douglas E. Johnston, Iñigo Urteaga, Petar M. Djuric:
Replication and optimization of hedge fund risk factor exposures. ICASSP 2013: 8712-8716 - 2011
- [c3]Iñigo Urteaga, Na Yu, Nicholas Hubbell, Qi Han:
AWARE: Activity AWARE network clustering for wireless sensor networks. LCN 2011: 589-596 - 2010
- [c2]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: 39-45
2000 – 2009
- 2009
- [j1]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): 432-446 (2009) - [c1]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: 1-9
Coauthor Index
aka: Noemie Elhadad
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