Manuel Gomez-Rodriguez

According to our database1, Manuel Gomez-Rodriguez authored at least 97 papers between 2010 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Finding Counterfactually Optimal Action Sequences in Continuous State Spaces.
CoRR, 2023

Designing Decision Support Systems Using Counterfactual Prediction Sets.
CoRR, 2023

Human-Aligned Calibration for AI-Assisted Decision Making.
CoRR, 2023

On the Within-Group Discrimination of Screening Classifiers.
CoRR, 2023

Improving Expert Predictions with Conformal Prediction.
Proceedings of the International Conference on Machine Learning, 2023

On the Within-Group Fairness of Screening Classifiers.
Proceedings of the International Conference on Machine Learning, 2023

2022
Quantifying the Effects of Contact Tracing, Testing, and Containment Measures in the Presence of Infection Hotspots.
ACM Trans. Spatial Algorithms Syst., 2022

The Network Visibility Problem.
ACM Trans. Inf. Syst., 2022

Learning to Switch Among Agents in a Team.
Trans. Mach. Learn. Res., 2022

Pooled testing of traced contacts under superspreading dynamics.
PLoS Comput. Biol., 2022

Provably Improving Expert Predictions with Conformal Prediction.
CoRR, 2022

Counterfactual inference of second Opinions.
Proceedings of the Uncertainty in Artificial Intelligence, 2022

Counterfactual Temporal Point Processes.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Improving Screening Processes via Calibrated Subset Selection.
Proceedings of the International Conference on Machine Learning, 2022

2021
Reinforcement Learning Under Algorithmic Triage.
CoRR, 2021

Counterfactual Explanations in Sequential Decision Making Under Uncertainty.
CoRR, 2021

Group Testing under Superspreading Dynamics.
CoRR, 2021

Differentiable Learning Under Triage.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Classification Under Human Assistance.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Tracking progress towards malaria elimination in China: Individual-level estimates of transmission and its spatiotemporal variation using a diffusion network approach.
PLoS Comput. Biol., 2020

NEVAE: A Deep Generative Model for Molecular Graphs.
J. Mach. Learn. Res., 2020

PanCast: Listening to Bluetooth Beacons for Epidemic Risk Mitigation.
CoRR, 2020

Large-scale randomized experiment reveals machine learning helps people learn and remember more effectively.
CoRR, 2020

A Spatiotemporal Epidemic Model to Quantify the Effects of Contact Tracing, Testing, and Containment.
CoRR, 2020

Learning to Switch Between Machines and Humans.
CoRR, 2020

Can A User Guess What Her Followers Want?
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

On the design of consequential ranking algorithms.
Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

Decisions, Counterfactual Explanations and Strategic Behavior.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Fair Decisions Despite Imperfect Predictions.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

Regression under Human Assistance.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Fairness Constraints: A Flexible Approach for Fair Classification.
J. Mach. Learn. Res., 2019

Can A User Anticipate What Her Followers Want?
CoRR, 2019

Optimal Decision Making Under Strategic Behavior.
CoRR, 2019

Consequential Ranking Algorithms and Long-term Welfare.
CoRR, 2019

Improving Consequential Decision Making under Imperfect Predictions.
CoRR, 2019

On the Complexity of Opinions and Online Discussions.
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

Teaching Multiple Concepts to a Forgetful Learner.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

NeVAE: A Deep Generative Model for Molecular Graphs.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Stochastic Optimal Control of Epidemic Processes in Networks.
CoRR, 2018

Teaching Multiple Concepts to Forgetful Learners.
CoRR, 2018

Designing Random Graph Models Using Variational Autoencoders With Applications to Chemical Design.
CoRR, 2018

Fake News Detection in Social Networks via Crowd Signals.
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

On the Causal Effect of Badges.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Co-evolution.
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

Leveraging the Crowd to Detect and Reduce the Spread of Fake News and Misinformation.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

Enhancing the Accuracy and Fairness of Human Decision Making.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Deep Reinforcement Learning of Marked Temporal Point Processes.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017
Steering Social Activity: A Stochastic Optimal Control Point Of View.
J. Mach. Learn. Res., 2017

COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Evolution.
J. Mach. Learn. Res., 2017

Scalable Influence Maximization for Multiple Products in Continuous-Time Diffusion Networks.
J. Mach. Learn. Res., 2017

Optimizing Human Learning.
CoRR, 2017

Detecting Fake News in Social Networks via Crowdsourcing.
CoRR, 2017

Cheshire: An Online Algorithm for Activity Maximization in Social Networks.
CoRR, 2017

Harnessing Natural Experiments to Quantify the Causal Effect of Badges.
CoRR, 2017

Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment.
Proceedings of the 26th International Conference on World Wide Web, 2017

Distilling Information Reliability and Source Trustworthiness from Digital Traces.
Proceedings of the 26th International Conference on World Wide Web, 2017

Modeling the Dynamics of Learning Activity on the Web.
Proceedings of the 26th International Conference on World Wide Web, 2017

Distilling Information Reliability and Source Trustworthiness from Digital Traces.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

RedQueen: An Online Algorithm for Smart Broadcasting in Social Networks.
Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

Uncovering the Dynamics of Crowdlearning and the Value of Knowledge.
Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

Uncovering the Spatiotemporal Patterns of Collective Social Activity.
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

From Parity to Preference-based Notions of Fairness in Classification.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

A Broad View of the Ecosystem of Socially Engineered Exploit Documents.
Proceedings of the 24th Annual Network and Distributed System Security Symposium, 2017

Reconciling Privacy and Utility in Continuous-Time Diffusion Networks.
Proceedings of the 30th IEEE Computer Security Foundations Symposium, 2017

Fairness Constraints: Mechanisms for Fair Classification.
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016
Influence Estimation and Maximization in Continuous-Time Diffusion Networks.
ACM Trans. Inf. Syst., 2016

Estimating Diffusion Networks: Recovery Conditions, Sample Complexity and Soft-thresholding Algorithm.
J. Mach. Learn. Res., 2016

Modeling the Dynamics of Online Learning Activity.
CoRR, 2016

On the Efficiency of the Information Networks in Social Media.
Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, 2016

Learning and Forecasting Opinion Dynamics in Social Networks.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Smart Broadcasting: Do You Want to be Seen?
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Recurrent Marked Temporal Point Processes: Embedding Event History to Vector.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

2015
Fairness Constraints: A Mechanism for Fair Classification.
CoRR, 2015

Modeling Opinion Dynamics in Diffusion Networks.
CoRR, 2015

Diffusion in Social and Information Metworks: Research Problems; Probabilistic Models & Machine Learning Methods.
Proceedings of the 24th International Conference on World Wide Web Companion, 2015

Co-evolutionary Dynamics of Information Diffusion and Network Structure.
Proceedings of the 24th International Conference on World Wide Web Companion, 2015

Diffusion in Social and Information Networks: Research Problems, Probabilistic Models and Machine Learning Methods.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

On the Users' Efficiency in the Twitter Information Network.
Proceedings of the Ninth International Conference on Web and Social Media, 2015

Modeling Adoption and Usage of Competing Products.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Back to the Past: Source Identification in Diffusion Networks from Partially Observed Cascades.
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

2014
Uncovering the structure and temporal dynamics of information propagation.
Netw. Sci., 2014

Modeling Diffusion of Competing Products and Conventions in Social Media.
CoRR, 2014

Visualizing information networks: the 2011 Fukushima earthquake.
AI Matters, 2014

1st workshop on diffusion networks and cascade analytics.
Proceedings of the Seventh ACM International Conference on Web Search and Data Mining, 2014

Shaping Social Activity by Incentivizing Users.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Quantifying Information Overload in Social Media and Its Impact on Social Contagions.
Proceedings of the Eighth International Conference on Weblogs and Social Media, 2014

Estimating Diffusion Network Structures: Recovery Conditions, Sample Complexity & Soft-thresholding Algorithm.
Proceedings of the 31th International Conference on Machine Learning, 2014

Open Problem: Finding Good Cascade Sampling Processes for the Network Inference Problem.
Proceedings of The 27th Conference on Learning Theory, 2014

2013
Structure and dynamics of information pathways in online media.
Proceedings of the Sixth ACM International Conference on Web Search and Data Mining, 2013

Scalable Influence Estimation in Continuous-Time Diffusion Networks.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Modeling Information Propagation with Survival Theory.
Proceedings of the 30th International Conference on Machine Learning, 2013

2012
Inferring Networks of Diffusion and Influence.
ACM Trans. Knowl. Discov. Data, 2012

Submodular Inference of Diffusion Networks from Multiple Trees.
Proceedings of the 29th International Conference on Machine Learning, 2012

Influence Maximization in Continuous Time Diffusion Networks.
Proceedings of the 29th International Conference on Machine Learning, 2012

Bridging offline and online social graph dynamics.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011
Uncovering the Temporal Dynamics of Diffusion Networks.
Proceedings of the 28th International Conference on Machine Learning, 2011

2010
Closing the sensorimotor loop: Haptic feedback facilitates decoding of arm movement imagery.
Proceedings of the IEEE International Conference on Systems, 2010


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