THESIS    JOURNALS    CONFERENCES

THESIS

I. Valera. "Bayesian Nonparametric Modeling of Psychiatric Disorders". PhD dissertation. November 2014. [pdf]

JOURNALS

2017 I. Valera, M. F. Pradier and Z. Ghahramani. "General Latent Feature Models for Heterogeneous Datasets." ArXiv, 2017. [PDF] [CODE]

2015 I. Valera, F. J. R. Ruiz, P. M. Olmos, C. Blanco and F. Perez-Cruz. "Infinite Continuous Feature Model for Psychiatric Comorbidity Analysis". Neural Computation Vol. 28, 354-381. MIT Press, 2015.

I. Valera, F. J. R. Ruiz and F. Perez-Cruz. "Infinite Factorial Unbounded-State Hidden Markov Model". IEEE Transactions on Pattern Analysis and Machine Inteligence Vol. PP, 1. 2015.

2014 F. J. R. Ruiz, I. Valera, C. Blanco and F. Perez-Cruz. "Bayesian Nonparametric Comorbidity Analysis of Psychiatric Disorders". Journal of Machine Learning Research 15. 1215-1247.[pdf]

2013 I. Valera, B. T. Sieskul and J. Míguez, "On the Maximum Likelihood Estimation of the ToA under an Imperfect Path Loss Exponent". EURASIP Journal on Wireless Communications and Networking, Volume 2013. [pdf]

CONFERENCES

2017 B. Zafar, I. Valera, M. Gomez-Rodriguez, K. Gummadi and A. Weller, "Preference vs. Parity-based Notions of Fairness", Oral presentation at the Fairness, Accountability and Transparency in Machine Learning (FATML 2017), Halifax (Canada), August 2017.

I. Valera and Z. Ghahramani, "Automatic Discovery of the Statistical Types of Variables in a Dataset", 34th International Conference on Machine Learning (ICML 2017). Sydney (Australia), 2017.

B. Zafar, I. Valera, M. Gomez-Rodriguez and K. Gummadi, "Training Fair Classifiers", 20th International Conference on Artificial Intelligence and Statistics (AISTATS), Florida (USA), April 2017.

B. Tabibian, I. Valera, M. Farajtabar, L. Song, B. Schoelkopf and M. Gomez Rodriguez, "Distilling Information Reliability and Source Trustworthiness from Digital Traces", (Full paper) 26th International World Wide Web Conference (WWW), Perth (Australia), April 2017.

B. Zafar, I. Valera, M. Gomez-Rodriguez and K. Gummadi, "Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment", (Full paper) 26th International World Wide Web Conference (WWW), Perth (Australia), April 2017. Best Paper Award Honorable Mention.

C. Mavroforakis, I. Valera and M. Gomez-Rodriguez, "Modeling the Dynamics of Learning Activity on the Web", (Full paper) 26th International World Wide Web Conference (WWW), Perth (Australia), April 2017.

U. Upadhyay, I. Valera and M. Gomez-Rodriguez, "Uncovering the Dynamics of Crowdlearning and the Value of Knowledge", The 10th ACM International Conference on Web Search and Data Mining (WSDM), Cambridge (UK), 2017.

2016 I. Valera and Z. Ghahramani, "Automatic Discovery of the Statistical Types of Variables in a Dataset", Workshop on Artificial Intelligence for Data Science at Neural Information Processing Systems Conference 2016 (NIPS 2016). Barcelona (Spain), 2016.

U. Upadhyay, I. Valera and M. Gomez-Rodriguez, "Uncovering the Dynamics of Crowdlearning and the Value of Knowledge", Workshop on Machine learning for Education at Neural Information Processing Systems Conference 2016 (NIPS 2016). Barcelona (Spain), 2016.

B. Zafar, I. Valera, M. Gomez-Rodriguez and K. Gummadi, "Fairness Beyond Disparate Treatment and Disparate Impact: Learning Classification without Disparate Mistreatment", Workshop in Fairness, Accountability and Transparency in Machine Learning (FATML 2016), NYC (USA), November 2016.

A. De, I. Valera, N. Ganguly, S. Bhattacharya, M. Gomez Rodriguez, "Learning and Forecasting Opinion Dynamics in Social Networks", Neural Information Processing Systems Conference 2016 (NIPS 2016). Barcelona (Spain), 2016.

B. Tabibian, M. Farajtabar, I. Valera, L. Song, B. Schoelkopf and M. Gomez Rodriguez, "On the Reliability of Information and Trustworthiness of Web Sources in Wikipedia", Wiki Workshop at the 10th International AAAI Conference on Web and Social Media (ICWSM 2016). Cologne (Germany), May 2016.

M. Babaei, P. Grabowicz, I. Valera and M. Gomez-Rodriguez, "On the Efficiency of the Information Networks in Social Media", The 9th ACM International Conference on Web Search and Data Mining (WSDM), San Francisco (CA, USA), 2016.

2015 C. Mavroforakis, I. Valera and M. Gomez-Rodriguez, "Hierarchical Dirichlet Hawkes Process for Modeling the Dynamics of Online Learning Activity" , Workshop on Networks in the Social and Information Sciences at Neural Information Processing Systems Conference 2015 (NIPS 2015). Montreal (Canada), 2015.

I. Valera, F. J. R. Ruiz, L. Svensson and F. Perez-Cruz, "Infinite Factorial Dynamical Model", Neural Information Processing Systems Conference 2015 (NIPS 2015). Montreal (Canada), 2015.

I. Valera and M. Gomez-Rodriguez, "Modeling Adoption and Usage of Competing Products" , IEEE International Conference on Data Mining (ICDM 2015), Atlantic City (NJ, USA), 2015.

I. Valera, F. J. R. Ruiz, L. Svensson and F. Perez-Cruz, "A Bayesian Nonparametric Approach for Blind Multiuser Channel Estimation", invited talk at the special session on Bayesian non-parametrics for signal and image processing at the European Signal Processing Conference 2015 (EUSIPCO 2015). Nice (France), August 2015.

B. Zafar, I. Valera, M. Gomez-Rodriguez and K. Gummadi, "Fairness Constraints: A Mechanism for Fair Classification", Workshop in Fairness, Accountability and Transparency in Machine Learning, 32nd International Conference on Machine Learning (ICML), Lille (France), July 2015.

M. Babaei, P. Grabowicz, I. Valera and M. Gomez-Rodriguez, "On the Users' Efficiency in the Twitter Information Network", short paper at the 9th International AAAI Conference on Web and Social Media (ICWSM2015). Oxford (UK), May 2015.

2014 I. Valera, M. Gomez-Rodriguez and K. Gummadi, "Modeling Adoption and Usage Frequency of Competing Products and Conventions in Social Media" , Workshop in "Networks: From Graphs to Rich Data" at Neural Information Processing Systems Conference 2014 (NIPS2014).

M. Farajtabar, N. Du, I. Valera, L. Song, M. Gomez-Rodrigez, H. Zha, "Shaping Social Activity by Incentivizing Users", Neural Information Processing Systems Conference 2014 (NIPS 2014). Montreal (Canada), 2014.

I. Valera and Z. Ghahramani, "General Table Completion using a Bayesian Nonparametric Model", Neural Information Processing Systems Conference 2014 (NIPS 2014). Montreal (Canada), 2014. [CODE]

I. Valera, F. J. R. Ruiz and F. Perez-Cruz, "Infinite Factorial Unbounded Hidden Markov Model For Blind Multiuser Channel Estimation", 4th International Workshop on Cognitive Information Processing (CIP2014). Copenhagen (Denmark), May 2014.

2013 F. J. R. Ruiz, I. Valera, P. M. Olmos, C. Blanco and F. Perez-Cruz. "Infinite Continuous Feature Model for Psychiatric Comorbidity Analysis". Workshop in Machine Learning for Clinical Data Analysis and Healthcare at Neural Information Processing Systems Conference 2013 (NIPS2013).[pdf]

F. J. R. Ruiz, I. Valera, C. Blanco and F. Perez-Cruz. "Bayesian Nonparametric Comorbidity Analysis of Psychiatric Disorders". 9th Conference on Bayesian Nonparametrics, 2013.

2012 F. J. R. Ruiz, I. Valera, C. Blanco and F. Perez-Cruz, "Bayesian Nonparametric Modeling of Suicide Attempts", Neural Information Processing Systems Conference 25:1862-1870 (spotlight). Lake Tahoe (NV, USA), December 2012. [pdf]

2010 M. I. Valera Martinez, B. T. Sieskul, F. Zheng, and T. Kaiser, "A Hybrid SS-ToA Wireless Geolocation Based on Path Attenuation under Imperfect Path Loss Exponent", 2010 European Signal Processing Conference (EUSIPCO-2010). Aalborg, Denmark, August 2010. [pdf]

B. Florentino, I. Valera, M. De Prado, A. Arenal, A. Artés, "Un ejemplo de minería de datos (An example of data mining)", Congreso Anual de la Sociedad Española de Ingeniería Biomédica 2010 (CASEIB 2010). Madrid, Spain, November 2010.