Isabel Valera

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All published works

Action	Title	Year	Authors
+ PDF Chat	A Practical Approach to Causal Inference over Time	2024	Martina Cinquini Isacco Beretta Salvatore Ruggieri Isabel Valera
+	Probabilistic neural transfer function estimation with Bayesian system identification	2024	Nan Wu Isabel Valera Fabian H. Sinz Alexander S. Ecker Thomas Euler Yongrong Qiu
+ PDF Chat	Designing Long-term Group Fair Policies in Dynamical Systems	2024	Miriam Rateike Isabel Valera Patrick Forré
+ PDF Chat	Improving the interpretability of GNN predictions through conformal-based graph sparsification	2024	Pablo Sánchez-Martín Kinaan Aamir Khan Isabel Valera
+ PDF Chat	Exploring the Boundaries of Ambient Awareness in Twitter	2024	Pablo Sánchez-Martín Sonja Utz Isabel Valera
+	Variational Mixture of HyperGenerators for Learning Distributions Over Functions	2023	Batuhan Koyuncu Pablo Sánchez‐Martín Ignacio Peis Pablo M. Olmos Isabel Valera
+	Causal normalizing flows: from theory to practice	2023	Adrián Javaloy Pablo Sánchez‐Martín Isabel Valera
+	Probabilistic Neural Transfer Function Estimation with Bayesian System Identification	2023	Nan Wu Isabel Valera Alexander S. Ecker Thomas Euler Yongrong Qiu
+	Designing Long-term Group Fair Policies in Dynamical Systems	2023	Miriam Rateike Isabel Valera Patrick Forré
+ PDF Chat	On the Fairness of Causal Algorithmic Recourse	2022	Julius von Kügelgen Amir-Hossein Karimi Umang Bhatt Isabel Valera Adrian Weller Bernhard Schölkopf
+ PDF Chat	VACA: Designing Variational Graph Autoencoders for Causal Queries	2022	Pablo Sánchez-Martin Miriam Rateike Isabel Valera
+ PDF Chat	Don’t Throw it Away! The Utility of Unlabeled Data in Fair Decision Making	2022	Miriam Rateike Ayan Majumdar Olga Mineeva Krishna P. Gummadi Isabel Valera
+	Towards Causal Algorithmic Recourse	2022	Amir-Hossein Karimi Julius von Kügelgen Bernhard Schölkopf Isabel Valera
+	Mitigating Modality Collapse in Multimodal VAEs via Impartial Optimization	2022	Adrián Javaloy Maryam Meghdadi Isabel Valera
+	Learnable Graph Convolutional Attention Networks	2022	Adrián Javaloy Pablo Sánchez‐Martín Amit Levi Isabel Valera
+	VACA: Design of Variational Graph Autoencoders for Interventional and Counterfactual Queries	2021	Pablo Sánchez-Martín Miriam Rateike Isabel Valera
+	RotoGrad: Gradient Homogenization in Multitask Learning.	2021	Adrián Javaloy Isabel Valera
+	Scaling Guarantees for Nearest Counterfactual Explanations	2021	Kiarash Mohammadi Amir-Hossein Karimi Gilles Barthe Isabel Valera
+ PDF Chat	A Ranking Approach to Fair Classification	2021	Jakob Schoeffer Niklas Kuehl Isabel Valera
+	VACA: Design of Variational Graph Autoencoders for Interventional and Counterfactual Queries	2021	Pablo Sánchez‐Martín Miriam Rateike Isabel Valera
+	RotoGrad: Gradient Homogenization in Multitask Learning	2021	Adrián Javaloy Isabel Valera
+	Scaling Guarantees for Nearest Counterfactual Explanations	2020	Kiarash Mohammadi Amir-Hossein Karimi Gilles Barthe Isabel Valera
+	A survey of algorithmic recourse: definitions, formulations, solutions, and prospects.	2020	Amir-Hossein Karimi Gilles Barthe Bernhard Schölkopf Isabel Valera
+ PDF Chat	Handling incomplete heterogeneous data using VAEs	2020	Alfredo Nazábal Pablo M. Olmos Zoubin Ghahramani Isabel Valera
+	Lipschitz standardization for robust multivariate learning.	2020	Adrián Javaloy Isabel Valera
+	Algorithmic Recourse: from Counterfactual Explanations to Interventions	2020	Amir-Hossein Karimi Bernhard Schölkopf Isabel Valera
+	Algorithmic recourse under imperfect causal knowledge: a probabilistic approach	2020	Amir-Hossein Karimi Julius von Kügelgen Bernhard Schölkopf Isabel Valera
+	On the Fairness of Causal Algorithmic Recourse	2020	Julius von Kügelgen Amir-Hossein Karimi Umang Bhatt Isabel Valera Adrian Weller Bernhard Schölkopf
+	Scaling Guarantees for Nearest Counterfactual Explanations	2020	Kiarash Mohammadi Amir-Hossein Karimi Gilles Barthe Isabel Valera
+	Lipschitz standardization for multivariate learning	2020	Adrián Javaloy Isabel Valera
+	Algorithmic Recourse: from Counterfactual Explanations to Interventions	2020	Amir-Hossein Karimi Bernhard Schölkopf Isabel Valera
+	A survey of algorithmic recourse: definitions, formulations, solutions, and prospects	2020	Amir-Hossein Karimi Gilles Barthe Bernhard Schölkopf Isabel Valera
+ PDF Chat	Automatic Bayesian Density Analysis	2019	Antonio Vergari Alejandro Molina Robert Peharz Zoubin Ghahramani Kristian Kersting Isabel Valera
+	Model-Agnostic Counterfactual Explanations for Consequential Decisions	2019	Amir-Hossein Karimi Gilles Barthe Borja Balle Isabel Valera
+	Improving Consequential Decision Making under Imperfect Predictions.	2019	Niki Kilbertus Manuel Gomez-Rodriguez Bernhard Schölkopf Krikamol Muandet Isabel Valera
+	Fair Decisions Despite Imperfect Predictions	2019	Niki Kilbertus Manuel Gomez-Rodriguez Bernhard Schölkopf Krikamol Muandet Isabel Valera
+	Model-Agnostic Counterfactual Explanations for Consequential Decisions	2019	Amir-Hossein Karimi Gilles Barthe Borja Balle Isabel Valera
+	Bayesian Nonparametric Hawkes Processes	2018	J. Kapoor Antonio Vergari Manuel Gomez-Rodriguez Isabel Valera
+	Automatic Bayesian Density Analysis	2018	Antonio Vergari Alejandro Molina Robert Peharz Zoubin Ghahramani Kristian Kersting Isabel Valera
+	Handling Incomplete Heterogeneous Data using VAEs	2018	Alfredo Nazábal Pablo M. Olmos Zoubin Ghahramani Isabel Valera
+	Enhancing the Accuracy and Fairness of Human Decision Making	2018	Isabel Valera Adish Singla Manuel Gomez-Rodriguez
+ PDF Chat	Infinite Factorial Finite State Machine for Blind Multiuser Channel Estimation	2018	Francisco J. R. Ruiz Isabel Valera Lennart Svensson Fernando Pérez‐Cruz
+	Boosting Black Box Variational Inference	2018	Francesco Locatello Gideon Dresdner Rajiv Khanna Isabel Valera Gunnar Rätsch
+	Boosting Black Box Variational Inference	2018	Francesco Locatello Gideon Dresdner Rajiv Khanna Isabel Valera Gunnar Rätsch
+	Enhancing the Accuracy and Fairness of Human Decision Making	2018	Isabel Valera Adish Singla Manuel Gomez-Rodriguez
+	Automatic Bayesian Density Analysis	2018	Antonio Vergari Alejandro Molina Robert Peharz Zoubin Ghahramani Kristian Kersting Isabel Valera
+	Handling Incomplete Heterogeneous Data using VAEs	2018	Alfredo Nazábal Pablo M. Olmos Zoubin Ghahramani Isabel Valera
+ PDF Chat	Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment	2017	Muhammad Bilal Zafar Isabel Valera Manuel Gomez-Rodriguez Krishna P. Gummadi
+ PDF Chat	Distilling Information Reliability and Source Trustworthiness from Digital Traces	2017	Behzad Tabibian Isabel Valera Mehrdad Farajtabar Le Song Bernhard Schölkopf Manuel Gomez-Rodriguez
+ PDF Chat	Fairness Beyond Disparate Treatment & Disparate Impact	2017	Muhammad Bilal Zafar Isabel Valera Manuel Gomez-Rodriguez Krishna P. Gummadi
+ PDF Chat	Uncovering the Dynamics of Crowdlearning and the Value of Knowledge	2017	Utkarsh Upadhyay Isabel Valera Manuel Gomez-Rodriguez
+	General Latent Feature Models for Heterogeneous Datasets	2017	Isabel Valera Melanie F. Pradier María Lomelí Zoubin Ghahramani
+	General Latent Feature Modeling for Data Exploration Tasks	2017	Isabel Valera Melanie F. Pradier Zoubin Ghahramani
+	From Parity to Preference-based Notions of Fairness in Classification	2017	Muhammad Bilal Zafar Isabel Valera Manuel Gomez-Rodriguez Krishna P. Gummadi Adrian Weller
+ PDF Chat	Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment	2016	Muhammad Bilal Zafar Isabel Valera Manuel Gomez-Rodriguez Krishna P. Gummadi
+ PDF Chat	On the Efficiency of the Information Networks in Social Media	2016	Mahmoudreza Babaei Przemyslaw A. Grabowicz Isabel Valera Krishna P. Gummadi Manuel Gomez-Rodriguez
+	Modeling the Dynamics of Online Learning Activity	2016	Charalampos Mavroforakis Isabel Valera Manuel Gomez-Rodriguez
+	Infinite Continuous Feature Model for Psychiatric Comorbidity Analysis	2015	Isabel Valera Francisco J. R. Ruiz Pablo M. Olmos Carlos Blanco Fernando Pérez‐Cruz
+	Infinite Factorial Unbounded-State Hidden Markov Model	2015	Isabel Valera Francisco J. R. Ruiz Fernando Pérez‐Cruz
+ PDF Chat	Modeling Adoption and Usage of Competing Products	2015	Isabel Valera Manuel Gomez-Rodriguez
+	Learning Fair Classifiers	2015	Muhammad Bilal Zafar Isabel Valera Manuel Gomez-Rodriguez Krishna P. Gummadi
+	Fairness Constraints: Mechanisms for Fair Classification	2015	Muhammad Bilal Zafar Isabel Valera Manuel Gomez-Rodriguez Krishna P. Gummadi
+	Modeling Opinion Dynamics in Diffusion Networks.	2015	Abir De Isabel Valera Niloy Ganguly Sourangshu Bhattacharya Manuel Gomez-Rodriguez
+	Hierarchical Dirichlet Hawkes Process for modeling the Dynamics of Online Learning Activity	2015	Charalampos Mavroforakis Isabel Valera Manuel Gomez-Rodriguez
+	Learning and Forecasting Opinion Dynamics in Social Networks	2015	Abir De Isabel Valera Niloy Ganguly Sourangshu Bhattacharya Manuel Gomez-Rodriguez
+	Fairness Constraints: Mechanisms for Fair Classification	2015	Muhammad Bilal Zafar Isabel Valera Manuel Gomez-Rodriguez Krishna P. Gummadi
+	General Table Completion using a Bayesian Nonparametric Model	2014	Isabel Valera Zoubin Ghahramani
+	Modeling Diffusion of Competing Products and Conventions in Social Media	2014	Isabel Valera Manuel Gomez-Rodriguez Krishna P. Gummadi
+	Bayesian nonparametric comorbidity analysis of psychiatric disorders	2014	Francisco J. R. Ruiz Isabel Valera Carlos Blanco Fernando Pérez‐Cruz
+	Bayesian nonparametric comorbidity analysis of psychiatric disorders	2014	Francisco J. R. Ruiz Isabel Valera Carlos Blanco Fernando Pérez‐Cruz
+	Shaping Social Activity by Incentivizing Users	2014	Mehrdad Farajtabar Nan Du Manuel Gomez-Rodriguez Isabel Valera Hongyuan Zha Le Song
+	Modeling Adoption and Usage of Competing Products	2014	Isabel Valera Manuel Gomez-Rodriguez
+	Bayesian Nonparametric Modeling of Suicide Attempts	2012	Francisco J. R. Ruiz Isabel Valera Carlos Blanco Fernando Pérez‐Cruz

Common Coauthors

Coauthor	Papers Together
Manuel Gomez-Rodriguez	23
Bernhard Schölkopf	11
Krishna P. Gummadi	10
Zoubin Ghahramani	9
Amir-Hossein Karimi	7
Adrián Javaloy	7
Gilles Barthe	7
Fernando Pérez‐Cruz	6
Amir-Hossein Karimi	6
Francisco J. R. Ruiz	6
Miriam Rateike	6
Pablo M. Olmos	5
Pablo Sánchez‐Martín	4
Julius von Kügelgen	4
Carlos Blanco	4
Muhammad Bilal Zafar	4
Antonio Vergari	4
Muhammad Bilal Zafar	3
Kristian Kersting	3
Adrian Weller	3
Alfredo Nazábal	3
Robert Peharz	3
Pablo Sánchez-Martín	3
Kiarash Mohammadi	3
Adish Singla	2
Gideon Dresdner	2
Patrick Forré	2
Thomas Euler	2
Umang Bhatt	2
Yongrong Qiu	2
Abir De	2
Niki Kilbertus	2
Le Song	2
Melanie F. Pradier	2
Krikamol Muandet	2
Gunnar Rätsch	2
Nan Wu	2
Rajiv Khanna	2
Sourangshu Bhattacharya	2
Alexander S. Ecker	2
Mehrdad Farajtabar	2
Charalampos Mavroforakis	2
Francesco Locatello	2
Niloy Ganguly	2
Borja Balle	2
Alejandro Molina	2
Kinaan Aamir Khan	1
Behzad Tabibian	1
Fabian H. Sinz	1
Salvatore Ruggieri	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Fairness through awareness	2012	Cynthia Dwork Moritz Hardt Toniann Pitassi Omer Reingold Richard S. Zemel	8
+	The Indian Buffet Process: An Introduction and Review	2011	Thomas L. Griffiths Zoubin Ghahramani	8
+	Counterfactual Fairness	2017	Matt J. Kusner Joshua R. Loftus Chris Russell Ricardo Silva	7
+ PDF Chat	Actionable Recourse in Linear Classification	2019	Berk Ustun Alexander Spangher Yang Liu	7
+	Explaining machine learning classifiers through diverse counterfactual explanations	2020	Ramaravind Kommiya Mothilal Amit Sharma Chenhao Tan	6
+	Modelling Reciprocating Relationships with Hawkes Processes	2012	Charles Blundell Jeffrey Beck Katherine Heller	6
+	The IBP Compound Dirichlet Process and its Application to Focused Topic Modeling	2010	Sinead A. Williamson Chong Wang Katherine Heller David M. Blei	6
+	Bayesian Nonparametric Modeling of Suicide Attempts	2012	Francisco J. R. Ruiz Isabel Valera Carlos Blanco Fernando Pérez‐Cruz	6
+	Survival and Event History Analysis: A Process Point of View	2008	Odd O. Aalen Oernulf Borgan Håkon K. Gjessing	6
+	Learning Triggering Kernels for Multi-dimensional Hawkes Processes	2013	Ke Zhou Hongyuan Zha Le Song	6
+ PDF Chat	Path-Specific Counterfactual Fairness	2019	Silvia Chiappa	6
+	Counterfactual Explanations without Opening the Black Box: Automated Decisions and the Gdpr	2018	Sandra Wachter Brent Mittelstadt Chris Russell	6
+	Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments	2017	Alexandra Chouldechova	5
+ PDF Chat	On Lewis' simulation method for point processes	1981	Patricia Reynaud-Bouret Vincent Rivoirard Franck Grammont Christine Tuleau-Malot	5
+ PDF Chat	Efficient Search for Diverse Coherent Explanations	2019	Chris Russell	5
+ PDF Chat	On the Fairness of Causal Algorithmic Recourse	2022	Julius von Kügelgen Amir-Hossein Karimi Umang Bhatt Isabel Valera Adrian Weller Bernhard Schölkopf	4
+	Towards A Rigorous Science of Interpretable Machine Learning	2017	Finale Doshi‐Velez Been Kim	4
+	Equalizing Recourse across Groups.	2019	Vivek Gupta Pegah Nokhiz Chitradeep Dutta Roy Suresh Venkatasubramanian	4
+	Towards Realistic Individual Recourse and Actionable Explanations in Black-Box Decision Making Systems	2019	Shalmali Joshi Oluwasanmi Koyejo Warut D. Vijitbenjaronk Been Kim Joydeep Ghosh	4
+ PDF Chat	Certifying and Removing Disparate Impact	2015	Michael Feldman Sorelle A. Friedler John Moeller Carlos Scheidegger Suresh Venkatasubramanian	4
+	Discovering Latent Network Structure in Point Process Data	2014	Scott W. Linderman Ryan P. Adams	4
+	Convex Optimization	2004	Stephen Boyd Lieven Vandenberghe	4
+	Kronecker Graphs: An Approach to Modeling Networks	2008	Jure Leskovec Deepayan Chakrabarti Jon Kleinberg Christos Faloutsos Zoubin Ghahramani	4
+ PDF Chat	Modeling Adoption and Usage of Competing Products	2015	Isabel Valera Manuel Gomez-Rodriguez	4
+	Uncovering the Temporal Dynamics of Diffusion Networks	2011	Manuel Gomez-Rodriguez David Balduzzi Bernhard Sch lkopf	4
+ PDF Chat	FACE	2020	Rafael Poyiadzi Kacper Sokol Raúl Santos‐Rodríguez Tijl De Bie Peter Flach	4
+	Avoiding Discrimination through Causal Reasoning	2017	Niki Kilbertus Mateo Rojas-Carulla Giambattista Parascandolo Moritz Hardt Dominik Janzing Bernhard Schölkopf	4
+	Algorithmic recourse under imperfect causal knowledge: a probabilistic approach	2020	Amir-Hossein Karimi Julius von Kügelgen Bernhard Schölkopf Isabel Valera	4
+ PDF Chat	CERTIFAI	2020	Shubham Sharma Jette Henderson Joydeep Ghosh	4
+	Spectra of some self-exciting and mutually exciting point processes	1971	Alan G. Hawkes	4
+	The hidden assumptions behind counterfactual explanations and principal reasons	2020	Solon Barocas Andrew D. Selbst Manish Raghavan	4
+	Multivariate Hawkes processes	2009	Thomas Liniger	4
+	Shaping Social Activity by Incentivizing Users	2014	Mehrdad Farajtabar Nan Du Manuel Gomez-Rodriguez Isabel Valera Hongyuan Zha Le Song	4
+	Equality of Opportunity in Supervised Learning	2016	Moritz Hardt Eric Price Nathan Srebro	4
+	Algorithmic Recourse: from Counterfactual Explanations to Interventions	2020	Amir-Hossein Karimi Bernhard Schölkopf Isabel Valera	4
+	Importance Weighted Autoencoders	2015	Yuri Burda Roger Grosse Ruslan Salakhutdinov	3
+	A kernel two-sample test	2012	Arthur Gretton Karsten Borgwardt Malte J. Rasch Bernhard Schölkopf Alexander J. Smola	3
+ PDF Chat	Fair Inference on Outcomes	2018	Razieh Nabi Ilya Shpitser	3
+	Explanation in artificial intelligence: Insights from the social sciences	2018	Tim Miller	3
+	General Table Completion using a Bayesian Nonparametric Model	2014	Isabel Valera Zoubin Ghahramani	3
+ PDF Chat	The mythos of model interpretability	2018	Zachary C. Lipton	3
+	Stick-breaking Construction for the Indian Buffet Process	2007	Yee Whye Teh Dilan Görür Zoubin Ghahramani	3
+	Fairness Constraints: Mechanisms for Fair Classification	2015	Muhammad Bilal Zafar Isabel Valera Manuel Gomez-Rodriguez Krishna P. Gummadi	3
+	Bayesian nonparametric comorbidity analysis of psychiatric disorders	2014	Francisco J. R. Ruiz Isabel Valera Carlos Blanco Fernando Pérez‐Cruz	3
+	Definitions, methods, and applications in interpretable machine learning	2019	William J. Murdoch Chandan Singh Karl Kumbier Reza Abbasi-Asl Bin Yu	3
+ PDF Chat	The Selective Labels Problem	2017	Himabindu Lakkaraju Jon Kleinberg Jure Leskovec Jens Ludwig Sendhil Mullainathan	3
+	Learning Social Infectivity in Sparse Low-rank Networks Using Multi-dimensional Hawkes Processes	2013	Ke Zhou Hongyuan Zha Le Song	3
+	Pattern Recognition and Machine Learning	2007	Christopher Bishop	3
+	Uncovering the Temporal Dynamics of Diffusion Networks	2011	Manuel Gomez-Rodriguez David Balduzzi Bernhard Schölkopf	3
+ PDF Chat	Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks	2017	Guy Katz Clark Barrett David L. Dill Kyle D. Julian Mykel J. Kochenderfer	3