Isabel Valera
Isabel Valera
Probabilistic Learning Group Leader at Max Planck Institute for Intelligent Systems
Dirección de correo verificada de tuebingen.mpg.de - Página principal
TítuloCitado porAño
Fairness constraints: A mechanism for fair classification.
MB Zafar, I Valera, MG Rodriguez, KP Gummadi
International Conference on Artificial Intelligence and Statistics (AISTATS …, 2017
86*2017
Shaping social activity by incentivizing users
M Farajtabar, N Du, MG Rodriguez, I Valera, H Zha, L Song
Advances in neural information processing systems, 2474-2482, 2014
842014
Fairness beyond disparate treatment & disparate impact: Learning classification without disparate mistreatment
MB Zafar, I Valera, M Gomez Rodriguez, KP Gummadi
Proceedings of the 26th International Conference on World Wide Web, 1171-1180, 2017
742017
Modeling adoption and usage of competing products
I Valera, M Gomez-Rodriguez
Data Mining (ICDM), 2015 IEEE International Conference on, 409-418, 2015
34*2015
Learning and forecasting opinion dynamics in social networks
A De, I Valera, N Ganguly, S Bhattacharya, MG Rodriguez
Advances in Neural Information Processing Systems, 2016, 2016
32*2016
Bayesian Nonparametric Comorbidity Analysis of Psychiatric Disorders
FJR Ruiz, I Valera, C Blanco, F Perez-Cruz
Journal of Machine Learning Researc 15, 1215-1247, 2014
182014
Distilling information reliability and source trustworthiness from digital traces
B Tabibian, I Valera, M Farajtabar, L Song, B Schölkopf, ...
Proceedings of the 26th International Conference on World Wide Web, 847-855, 2017
142017
From parity to preference-based notions of fairness in classification
MB Zafar, I Valera, M Rodriguez, K Gummadi, A Weller
Advances in Neural Information Processing Systems, 228-238, 2017
102017
Bayesian nonparametric modeling of suicide attempts
F Ruiz, I Valera, C Blanco, F Perez-Cruz
Advances in neural information processing systems, 1853-1861, 2012
102012
Modeling the Dynamics of Learning Activity on the Web
C Mavroforakis, I Valera, M Gomez-Rodriguez
Proceedings of the 26th International Conference on World Wide Web, 1421-1430, 2017
9*2017
Infinite factorial unbounded-state hidden markov model
I Valera, FJR Ruiz, F Perez-Cruz
IEEE transactions on pattern analysis and machine intelligence 38 (9), 1816-1828, 2016
82016
On the efficiency of the information networks in social media
M Babaei, P Grabowicz, I Valera, KP Gummadi, M Gomez-Rodriguez
Proceedings of the Ninth ACM International Conference on Web Search and Data …, 2016
8*2016
Infinite factorial dynamical model
I Valera, F Ruiz, L Svensson, F Perez-Cruz
Advances in Neural Information Processing Systems, 1666-1674, 2015
82015
General table completion using a bayesian nonparametric model
I Valera, Z Ghahramani
Advances in Neural Information Processing Systems, 981-989, 2014
62014
A Bayesian nonparametric approach for blind multiuser channel estimation
I Valera, FJR Ruiz, L Svensson, F Perez-Cruz
Signal Processing Conference (EUSIPCO), 2015 23rd European, 2766-2770, 2015
52015
Modeling adoption and usage frequency of competing products and conventions in social media
I Valera, M Gomez-Rodriguez, K Gummadi
Workshop in" Networks: From Graphs to Rich Data" at Neural Information …, 2014
52014
Infinite factorial unbounded hidden Markov model for blind multiuser channel estimation
I Valera, FJR Ruiz, F Perez-Cruz
Cognitive Information Processing (CIP), 2014 4th International Workshop on, 1-6, 2014
42014
Infinite factorial finite state machine for blind multiuser channel estimation
FJR Ruiz, I Valera, L Svensson, F Perez-Cruz
IEEE Transactions on Cognitive Communications and Networking, 2018
22018
General Latent Feature Modeling for Data Exploration Tasks
I Valera, MF Pradier, Z Ghahramani
arXiv preprint arXiv:1707.08352, 2017
22017
General Latent Feature Models for Heterogeneous Datasets
I Valera, MF Pradier, M Lomeli, Z Ghahramani
arXiv preprint arXiv:1706.03779, 2017
22017
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20