Iñigo Urteaga

50 papers A* 1A 2B 1Misc 7Journal 27Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Anomaly detection in time-series via inductive biases in the latent space of conditional normalizing flows. CoRR David Baumgartner, Eliezer de Souza da Silva, Iñigo Urteaga
2025	J	`jnl`	AI as an intervention: improving clinical outcomes relies on a causal approach to AI development and validation. J. Am. Medical Informatics Assoc. Shalmali Joshi, Iñigo Urteaga, Wouter A. C. van Amsterdam, George Hripcsak, Pierre A. Elias, Benjamin R. C. Amor, Noémie Elhadad, James C. Fackler, Mark P. Sendak, Jenna Wiens, Kaivalya Deshpande, Yoav Wald, Madalina Fiterau, Zachary C. Lipton, Daniel Malinsky, Madhur Nayan, Hongseok Namkoong, Soojin Park, Julia E. Vogt, Rajesh Ranganath
2025	A	`conf`	Accurate and Scalable Stochastic Gaussian Process Regression via Learnable Coreset-based Variational Inference. UAI Mert Ketenci, Adler J. Perotte, Noémie Elhadad, Iñigo Urteaga
2025	J	`jnl`	Canonical Bayesian Linear System Identification. CoRR Andrey Bryutkin, Matthew E. Levine, Iñigo Urteaga, Youssef Marzouk
2025	J	`jnl`	Exploring approaches to computational representation and classification of user-generated meal logs. CoRR Guanlan Hu, Adit Anand, Pooja M. Desai, Iñigo Urteaga, Lena Mamykina
2025	J	`jnl`	Informing the Design of Individualized Self-Management Regimens from the Human, Data, and Machine Learning Perspectives. ACM Trans. Comput. Hum. Interact. Adrienne Pichon, Iñigo Urteaga, Lena Mamykina, Noémie Elhadad
2025	J	`jnl`	On the Identifiability of Tensor Ranks via Prior Predictive Matching. CoRR Eliezer de Souza da Silva, Arto Klami, Diego Mesquita, Iñigo Urteaga
2025	—	`ed.`	Proceedings of the Machine Learning for Healthcare Conference (MLHC 2025), 15-16 August 2025, Mayo Clinic, Rochester, MN, USA MLHC Monica Agrawal, Kaivalya Deshpande, Matthew Engelhard, Shalmali Joshi, Shengpu Tang, Iñigo Urteaga
2024	—	`ed.`	Machine Learning for Healthcare Conference, 16-17 August 2024, Toronto, Canada. MLHC Kaivalya Deshpande, Madalina Fiterau, Shalmali Joshi, Zachary C. Lipton, Rajesh Ranganath, Iñigo Urteaga
2024	—	`conf`	Minimax Risk Classifiers for Mislabeled Data: a Study on Patient Outcome Prediction Tasks. MLHC Lucia Filippozzi, Santiago Mazuelas, Iñigo Urteaga
2024	J	`jnl`	Variational Shapley Network: A Probabilistic Approach to Self-Explaining Shapley values with Uncertainty Quantification. CoRR Mert Ketenci, Iñigo Urteaga, Victor Alfonso Rodriguez, Noémie Elhadad, Adler J. Perotte
2023	J	`jnl`	A Coreset-based, Tempered Variational Posterior for Accurate and Scalable Stochastic Gaussian Process Inference. CoRR Mert Ketenci, Adler J. Perotte, Noémie Elhadad, Iñigo Urteaga
2023	—	`ed.`	Machine Learning for Healthcare Conference, MLHC 2023, 11-12 August 2023, New York, USA. MLHC Kaivalya Deshpande, Madalina Fiterau, Shalmali Joshi, Zachary C. Lipton, Rajesh Ranganath, Iñigo Urteaga, Serene Yeung
2023	—	`conf`	Multi-armed bandits for resource efficient, online optimization of language model pre-training: the use case of dynamic masking. ACL (Findings) Iñigo Urteaga, Moulay-Zaïdane Draïdia, Tomer Lancewicki, Shahram Khadivi
2022	Misc	`conf`	Human, Data, and Algorithmic Perspectives to Inform the Design of RL-enabled Self-management Regimens. AMIA Adrienne Pichon, Iñigo Urteaga, Lena Mamykina, Noemie Elhadad
2022	J	`jnl`	Multi-armed bandits for online optimization of language model pre-training: the use case of dynamic masking. CoRR Iñigo Urteaga, Moulay-Zaïdane Draïdia, Tomer Lancewicki, Shahram Khadivi
2021	—	`conf`	A Generative Modeling Approach to Calibrated Predictions: A Use Case on Menstrual Cycle Length Prediction. MLHC Iñigo Urteaga, Kathy Li, Amanda Shea, Virginia J. Vitzthum, Chris H. Wiggins, Noemie Elhadad
2021	J	`jnl`	A generative, predictive model for menstrual cycle lengths that accounts for potential self-tracking artifacts in mobile health data. CoRR Kathy Li, Iñigo Urteaga, Amanda Shea, Virginia J. Vitzthum, Chris H. Wiggins, Noémie Elhadad
2021	J	`jnl`	A predictive model for next cycle start date that accounts for adherence in menstrual self-tracking. J. Am. Medical Informatics Assoc. Kathy Li, Iñigo Urteaga, Amanda Shea, Virginia J. Vitzthum, Chris H. Wiggins, Noémie Elhadad
2020	J	`jnl`	Characterizing physiological and symptomatic variation in menstrual cycles using self-tracked mobile-health data. npj Digit. Medicine Kathy Li, Iñigo Urteaga, Chris H. Wiggins, Anna Druet, Amanda Shea, Virginia J. Vitzthum, Noémie Elhadad
2020	J	`jnl`	Learning endometriosis phenotypes from patient-generated data. npj Digit. Medicine Iñigo Urteaga, Mollie McKillop, Noémie Elhadad
2019	Misc	`conf`	Learning Across a Healthcare Data Network to Improve Model Robustness and Evidence Reliability. AMIA Noémie Elhadad, Iñigo Urteaga, Alison Callahan, Jenna Reps, Patrick B. Ryan
2019	—	`conf`	Multi-Task Gaussian Processes and Dilated Convolutional Networks for Reconstruction of Reproductive Hormonal Dynamics. MLHC Iñigo Urteaga, Tristan Bertin, Theresa M. Hardy, David J. Albers, Noémie Elhadad
2019	J	`jnl`	Multi-Task Gaussian Processes and Dilated Convolutional Networks for Reconstruction of Reproductive Hormonal Dynamics. CoRR Iñigo Urteaga, Tristan Bertin, Theresa M. Hardy, David J. Albers, Noémie Elhadad
2018	J	`jnl`	(Sequential) Importance Sampling Bandits. CoRR Iñigo Urteaga, Chris H. Wiggins
2018	J	`jnl`	Nonparametric Gaussian mixture models for the multi-armed contextual bandit. CoRR Iñigo Urteaga, Chris H. Wiggins
2018	J	`jnl`	Phenotyping Endometriosis through Mixed Membership Models of Self-Tracking Data. CoRR Iñigo Urteaga, Mollie McKillop, Sharon Lipsky Gorman, Noémie Elhadad
2018	A	`conf`	Variational inference for the multi-armed contextual bandit. AISTATS Iñigo Urteaga, Chris Wiggins
2017	J	`jnl`	Bayesian bandits: balancing the exploration-exploitation tradeoff via double sampling. CoRR Iñigo Urteaga, Chris H. Wiggins
2017	Misc	`conf`	Multiple particle filtering for inference in the presence of state correlation of unknown mixing parameters. ICASSP Iñigo Urteaga, Mónica F. Bugallo, Petar M. Djuric
2017	J	`jnl`	Sequential Estimation of Hidden ARMA Processes by Particle Filtering - Part I. IEEE Trans. Signal Process. Iñigo Urteaga, Petar M. Djuric
2017	J	`jnl`	Sequential Estimation of Hidden ARMA Processes by Particle Filtering - Part II. IEEE Trans. Signal Process. Iñigo Urteaga, Petar M. Djuric
2017	J	`jnl`	Sequential Monte Carlo for inference of latent ARMA time-series with innovations correlated in time. EURASIP J. Adv. Signal Process. Iñigo Urteaga, Mónica F. Bugallo, Petar M. Djuric
2017	J	`jnl`	Towards Personalized Modeling of the Female Hormonal Cycle: Experiments with Mechanistic Models and Gaussian Processes. CoRR Iñigo Urteaga, David J. Albers, Marija Vlajic Wheeler, Anna Druet, Hans Raffauf, Noémie Elhadad
2017	J	`jnl`	Variational inference for the multi-armed contextual bandit. CoRR Iñigo Urteaga, Chris H. Wiggins
2016	—	`conf`	Sequential Monte Carlo methods under model uncertainty. SSP Iñigo Urteaga, Mónica F. Bugallo, Petar M. Djuric
2016	Misc	`conf`	Sequential Monte Carlo sampling for correlated latent long-memory time-series. ICASSP Iñigo Urteaga, Mónica F. Bugallo, Petar M. Djuric
2015	—	`conf`	DTN Routing Optimised by Human Routines: The HURRy Protocol. WWIC Susana Pérez, José María Cabero, Iñigo Urteaga
2015	—	`conf`	Filtering of nonlinear time-series coupled by fractional Gaussian processes. CAMSAP Iñigo Urteaga, Mónica F. Bugallo, Petar M. Djuric
2015	Misc	`conf`	Particle filtering of ARMA processes of unknown order and parameters. ICASSP Iñigo Urteaga, Petar M. Djuric
2015	J	`jnl`	Reliability of Bluetooth-based connectivity traces for the characterization of human interaction. Ad Hoc Networks José María Cabero, Iñigo Urteaga, Virginia Molina, Fidel Liberal, José Luis Martín
2015	—	`conf`	Sequential Monte Carlo sampling for systems with fractional Gaussian processes. EUSIPCO Iñigo Urteaga, Mónica F. Bugallo, Petar M. Djuric
2014	J	`jnl`	AWARE: Activity aware maintenance of communication structures for wireless sensor networks. Pervasive Mob. Comput. Iñigo Urteaga, Na Yu, Nicholas Hubbell, Qi Han
2014	J	`jnl`	Acquisition of human traces with Bluetooth technology: Challenges and proposals. Ad Hoc Networks José María Cabero, Virginia Molina, Iñigo Urteaga, Fidel Liberal, José Luis Martín
2014	Misc	`conf`	Estimation of ARMA state processes by particle filtering. ICASSP Iñigo Urteaga, Petar M. Djuric
2013	Misc	`conf`	Replication and optimization of hedge fund risk factor exposures. ICASSP Douglas E. Johnston, Iñigo Urteaga, Petar M. Djuric
2011	B	`conf`	AWARE: Activity AWARE network clustering for wireless sensor networks. LCN Iñigo Urteaga, Na Yu, Nicholas Hubbell, Qi Han
2010	—	`conf`	On the Design of a Scalable Multimedia Streaming System based on Receiver-driven Flow and Congestion Awareness. SIGMAP Iñigo Urteaga, Iraide Unanue, Javier Del Ser, Pedro J. Sánchez, Aitor Rodriguez
2009	A*	`conf`	REDFLAG: A Run-timE, Distributed, Flexible, Lightweight, And Generic Fault Detection Service for Data-Driven Wireless Sensor Applications. PerCom Iñigo Urteaga, Kevin Barnhart, Qi Han
2009	J	`jnl`	REDFLAG: A Run-timE, Distributed, Flexible, Lightweight, And Generic fault detection service for data-driven wireless sensor applications. Pervasive Mob. Comput. Iñigo Urteaga, Kevin Barnhart, Qi Han