Search Results for author: Manuel Gomez Rodriguez

Found 22 papers, 13 papers with code

Human-Aligned Calibration for AI-Assisted Decision Making

1 code implementation31 May 2023 Nina L. Corvelo Benz, Manuel Gomez Rodriguez

Then, the decision maker is supposed to use the confidence value to calibrate how much to trust the prediction.

Decision Making

On the Within-Group Discrimination of Screening Classifiers

1 code implementation31 Jan 2023 Nastaran Okati, Stratis Tsirtsis, Manuel Gomez Rodriguez

Screening classifiers are increasingly used to identify qualified candidates in a variety of selection processes.

Counterfactual Inference of Second Opinions

1 code implementation16 Mar 2022 Nina L. Corvelo Benz, Manuel Gomez Rodriguez

This motivates the design of a set invariant Gumbel-Max structural causal model where the structure of the noise governing the sub-mechanisms underpinning the model depends on an intuitive notion of similarity between experts which can be estimated from data.

Counterfactual Inference

Improving Screening Processes via Calibrated Subset Selection

1 code implementation2 Feb 2022 Lequn Wang, Thorsten Joachims, Manuel Gomez Rodriguez

Many selection processes such as finding patients qualifying for a medical trial or retrieval pipelines in search engines consist of multiple stages, where an initial screening stage focuses the resources on shortlisting the most promising candidates.


Improving Expert Predictions with Prediction Sets

1 code implementation28 Jan 2022 Eleni Straitouri, Lequn Wang, Nastaran Okati, Manuel Gomez Rodriguez

In this work, we lift the above requirement and develop automated decision support systems that, by design, do not require experts to understand when each of their recommendations is accurate to improve their performance.

Conformal Prediction

Counterfactual Temporal Point Processes

2 code implementations15 Nov 2021 Kimia Noorbakhsh, Manuel Gomez Rodriguez

This model satisfies a desirable counterfactual monotonicity condition, which is sufficient to identify counterfactual dynamics in the process of thinning.

Point Processes

Consequential Ranking Algorithms and Long-term Welfare

no code implementations13 May 2019 Behzad Tabibian, Vicenç Gómez, Abir De, Bernhard Schölkopf, Manuel Gomez Rodriguez

Can we design ranking models that understand the consequences of their proposed rankings and, more importantly, are able to avoid the undesirable ones?


Enhancing the Accuracy and Fairness of Human Decision Making

1 code implementation NeurIPS 2018 Isabel Valera, Adish Singla, Manuel Gomez Rodriguez

Societies often rely on human experts to take a wide variety of decisions affecting their members, from jail-or-release decisions taken by judges and stop-and-frisk decisions taken by police officers to accept-or-reject decisions taken by academics.

Decision Making Fairness

Teaching Multiple Concepts to a Forgetful Learner

no code implementations NeurIPS 2019 Anette Hunziker, Yuxin Chen, Oisin Mac Aodha, Manuel Gomez Rodriguez, Andreas Krause, Pietro Perona, Yisong Yue, Adish Singla

Our framework is both generic, allowing the design of teaching schedules for different memory models, and also interactive, allowing the teacher to adapt the schedule to the underlying forgetting mechanisms of the learner.


Fake News Detection in Social Networks via Crowd Signals

no code implementations24 Nov 2017 Sebastian Tschiatschek, Adish Singla, Manuel Gomez Rodriguez, Arpit Merchant, Andreas Krause

The main objective of our work is to minimize the spread of misinformation by stopping the propagation of fake news in the network.

Social and Information Networks

From Parity to Preference-based Notions of Fairness in Classification

1 code implementation NeurIPS 2017 Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez Rodriguez, Krishna P. Gummadi, Adrian Weller

The adoption of automated, data-driven decision making in an ever expanding range of applications has raised concerns about its potential unfairness towards certain social groups.

Classification Decision Making +2

Cheshire: An Online Algorithm for Activity Maximization in Social Networks

no code implementations6 Mar 2017 Ali Zarezade, Abir De, Hamid Rabiee, Manuel Gomez Rodriguez

Can we design an algorithm that finds when to incentivize users to take actions to maximize the overall activity in a social network?

Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment

3 code implementations26 Oct 2016 Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez Rodriguez, Krishna P. Gummadi

To account for and avoid such unfairness, in this paper, we introduce a new notion of unfairness, disparate mistreatment, which is defined in terms of misclassification rates.

Decision Making Fairness +1

Modeling the Dynamics of Online Learning Activity

1 code implementation18 Oct 2016 Charalampos Mavroforakis, Isabel Valera, Manuel Gomez Rodriguez

People are increasingly relying on the Web and social media to find solutions to their problems in a wide range of domains.

RedQueen: An Online Algorithm for Smart Broadcasting in Social Networks

1 code implementation18 Oct 2016 Ali Zarezade, Utkarsh Upadhyay, Hamid Rabiee, Manuel Gomez Rodriguez

Users in social networks whose posts stay at the top of their followers'{} feeds the longest time are more likely to be noticed.

Fairness Constraints: Mechanisms for Fair Classification

2 code implementations19 Jul 2015 Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez Rodriguez, Krishna P. Gummadi

Algorithmic decision making systems are ubiquitous across a wide variety of online as well as offline services.

Classification Decision Making +2

COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Co-evolution

1 code implementation NeurIPS 2015 Mehrdad Farajtabar, Yichen Wang, Manuel Gomez Rodriguez, Shuang Li, Hongyuan Zha, Le Song

Information diffusion in online social networks is affected by the underlying network topology, but it also has the power to change it.

Shaping Social Activity by Incentivizing Users

no code implementations NeurIPS 2014 Mehrdad Farajtabar, Nan Du, Manuel Gomez Rodriguez, Isabel Valera, Hongyuan Zha, Le Song

Events in an online social network can be categorized roughly into endogenous events, where users just respond to the actions of their neighbors within the network, or exogenous events, where users take actions due to drives external to the network.

Scalable Influence Estimation in Continuous-Time Diffusion Networks

no code implementations NeurIPS 2013 Nan Du, Le Song, Manuel Gomez Rodriguez, Hongyuan Zha

If a piece of information is released from a media site, can it spread, in 1 month, to a million web pages?

Modeling Information Propagation with Survival Theory

no code implementations15 May 2013 Manuel Gomez Rodriguez, Jure Leskovec, Bernhard Schoelkopf

Networks provide a skeleton for the spread of contagions, like, information, ideas, behaviors and diseases.

Structure and Dynamics of Information Pathways in Online Media

no code implementations6 Dec 2012 Manuel Gomez Rodriguez, Jure Leskovec, Bernhard Schölkopf

We assume there is an unobserved dynamic network that changes over time, while we observe the results of a dynamic process spreading over the edges of the network.

Uncovering the Temporal Dynamics of Diffusion Networks

no code implementations3 May 2011 Manuel Gomez Rodriguez, David Balduzzi, Bernhard Schölkopf

Time plays an essential role in the diffusion of information, influence and disease over networks.

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