Manuel Gomez-Rodriguez

ORCID

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 74

Top Venues

CoRR

WSDM

J. Mach. Learn. Res.

WWW (Companion Volume)

Publications

Seungeon Lee, Nina Corvelo Benz, Suhas Thejaswi, Manuel Gomez-Rodriguez
Matchings, Predictions and Counterfactual Harm in Refugee Resettlement Processes. CoRR (2024)
Giovanni De Toni, Nastaran Okati, Suhas Thejaswi, Eleni Straitouri, Manuel Gomez-Rodriguez
Towards Human-AI Complementarity with Predictions Sets. CoRR (2024)
Stratis Tsirtsis, Manuel Gomez-Rodriguez
Finding Counterfactually Optimal Action Sequences in Continuous State Spaces. CoRR (2023)
Stratis Tsirtsis, Abir De, Lars Lorch, Manuel Gomez-Rodriguez
Pooled testing of traced contacts under superspreading dynamics. PLoS Comput. Biol. 18 (3) (2022)
Khashayar Gatmiry, Manuel Gomez-Rodriguez
The Network Visibility Problem. ACM Trans. Inf. Syst. 40 (2) (2022)
Lars Lorch, Heiner Kremer, William Trouleau, Stratis Tsirtsis, Aron Szanto, Bernhard Schölkopf, Manuel Gomez-Rodriguez
Quantifying the Effects of Contact Tracing, Testing, and Containment Measures in the Presence of Infection Hotspots. ACM Trans. Spatial Algorithms Syst. 8 (4) (2022)
Kimia Noorbakhsh, Manuel Gomez-Rodriguez
Counterfactual Temporal Point Processes. NeurIPS (2022)
Nastaran Okati, Abir De, Manuel Gomez-Rodriguez
Differentiable Learning Under Triage. CoRR (2021)
Stratis Tsirtsis, Abir De, Manuel Gomez-Rodriguez
Counterfactual Explanations in Sequential Decision Making Under Uncertainty. CoRR (2021)
Eleni Straitouri, Adish Singla, Vahid Balazadeh Meresht, Manuel Gomez-Rodriguez
Reinforcement Learning Under Algorithmic Triage. CoRR (2021)
Stratis Tsirtsis, Abir De, Lars Lorch, Manuel Gomez-Rodriguez
Group Testing under Superspreading Dynamics. CoRR (2021)
Nastaran Okati, Abir De, Manuel Gomez-Rodriguez
Differentiable Learning Under Triage. NeurIPS (2021)
Utkarsh Upadhyay, Graham Lancashire, Christoph Moser, Manuel Gomez-Rodriguez
Large-scale randomized experiment reveals machine learning helps people learn and remember more effectively. CoRR (2020)
Lars Lorch, William Trouleau, Stratis Tsirtsis, Aron Szanto, Bernhard Schölkopf, Manuel Gomez-Rodriguez
A Spatiotemporal Epidemic Model to Quantify the Effects of Contact Tracing, Testing, and Containment. CoRR (2020)
Abir De, Paramita Koley, Niloy Ganguly, Manuel Gomez-Rodriguez
Regression under Human Assistance. AAAI (2020)
Abir De, Nastaran Okati, Ali Zarezade, Manuel Gomez-Rodriguez
Classification Under Human Assistance. CoRR (2020)
Bidisha Samanta, Abir De, Gourhari Jana, Vicenç Gómez, Pratim Kumar Chattaraj, Niloy Ganguly, Manuel Gomez-Rodriguez
NEVAE: A Deep Generative Model for Molecular Graphs. J. Mach. Learn. Res. 21 (2020)
Stratis Tsirtsis, Manuel Gomez-Rodriguez
Decisions, Counterfactual Explanations and Strategic Behavior. CoRR (2020)
Vahid Balazadeh Meresht, Abir De, Adish Singla, Manuel Gomez-Rodriguez
Learning to Switch Between Machines and Humans. CoRR (2020)
Gilles Barthe, Roberta De Viti, Peter Druschel, Deepak Garg, Manuel Gomez-Rodriguez, Pierfrancesco Ingo, Matthew Lentz, Aastha Mehta, Bernhard Schölkopf
PanCast: Listening to Bluetooth Beacons for Epidemic Risk Mitigation. CoRR (2020)
Abir De, Adish Singla, Utkarsh Upadhyay, Manuel Gomez-Rodriguez
Can A User Guess What Her Followers Want? WSDM (2020)
Isobel Routledge, Shengjie Lai, Katherine E. Battle, Azra C. Ghani, Manuel Gomez-Rodriguez, Kyle Gustafson, Swapnil Mishra, Juliette Unwin, Joshua L. Proctor, Andrew J. Tatem, Zhongjie Li, Samir Bhatt
Tracking progress towards malaria elimination in China: Individual-level estimates of transmission and its spatiotemporal variation using a diffusion network approach. PLoS Comput. Biol. 16 (3) (2020)
Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez-Rodriguez, Krishna P. Gummadi
Fairness Constraints: A Flexible Approach for Fair Classification. J. Mach. Learn. Res. 20 (2019)
Utkarsh Upadhyay, Abir De, Aasish Pappu, Manuel Gomez-Rodriguez
On the Complexity of Opinions and Online Discussions. WSDM (2019)
Abir De, Adish Singla, Utkarsh Upadhyay, Manuel Gomez-Rodriguez
Can A User Anticipate What Her Followers Want? CoRR (2019)
Niki Kilbertus, Manuel Gomez-Rodriguez, Bernhard Schölkopf, Krikamol Muandet, Isabel Valera
Improving Consequential Decision Making under Imperfect Predictions. CoRR (2019)
Abir De, Paramita Koley, Niloy Ganguly, Manuel Gomez-Rodriguez
Regression Under Human Assistance. CoRR (2019)
Moein Khajehnejad, Behzad Tabibian, Bernhard Schölkopf, Adish Singla, Manuel Gomez-Rodriguez
Optimal Decision Making Under Strategic Behavior. CoRR (2019)
Tomasz Kusmierczyk, Manuel Gomez-Rodriguez
On the Causal Effect of Badges. WWW (2018)
Ali Zarezade, Abir De, Utkarsh Upadhyay, Hamid R. Rabiee, Manuel Gomez-Rodriguez
Steering Social Activity: A Stochastic Optimal Control Point Of View. CoRR (2018)
Anette Hunziker, Yuxin Chen, Oisin Mac Aodha, Manuel Gomez-Rodriguez, Andreas Krause, Pietro Perona, Yisong Yue, Adish Singla
Teaching Multiple Concepts to Forgetful Learners. CoRR (2018)
Khashayar Gatmiry, Manuel Gomez-Rodriguez
On the Network Visibility Problem. CoRR (2018)
Lars Lorch, Abir De, Samir Bhatt, William Trouleau, Utkarsh Upadhyay, Manuel Gomez-Rodriguez
Stochastic Optimal Control of Epidemic Processes in Networks. CoRR (2018)
Sebastian Tschiatschek, Adish Singla, Manuel Gomez-Rodriguez, Arpit Merchant, Andreas Krause
Fake News Detection in Social Networks via Crowd Signals. WWW (Companion Volume) (2018)
Jooyeon Kim, Behzad Tabibian, Alice Oh, Bernhard Schölkopf, Manuel Gomez-Rodriguez
Leveraging the Crowd to Detect and Reduce the Spread of Fake News and Misinformation. WSDM (2018)
Mehrdad Farajtabar, Manuel Gomez-Rodriguez, Yichen Wang, Shuang Li, Hongyuan Zha, Le Song
COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Co-evolution. WWW (Companion Volume) (2018)
Bidisha Samanta, Abir De, Niloy Ganguly, Manuel Gomez-Rodriguez
Designing Random Graph Models Using Variational Autoencoders With Applications to Chemical Design. CoRR (2018)
Utkarsh Upadhyay, Abir De, Manuel Gomez-Rodriguez
Deep Reinforcement Learning of Marked Temporal Point Processes. CoRR (2018)
Utkarsh Upadhyay, Abir De, Aasish Pappu, Manuel Gomez-Rodriguez
On the Complexity of Opinions and Online Discussions. CoRR (2018)
Nan Du, Yingyu Liang, Maria-Florina Balcan, Manuel Gomez-Rodriguez, Hongyuan Zha, Le Song
Scalable Influence Maximization for Multiple Products in Continuous-Time Diffusion Networks. J. Mach. Learn. Res. 18 (2017)
Tomasz Kusmierczyk, Manuel Gomez-Rodriguez
Harnessing Natural Experiments to Quantify the Causal Effect of Badges. CoRR (2017)
Ali Zarezade, Abir De, Hamid R. Rabiee, Manuel Gomez-Rodriguez
Cheshire: An Online Algorithm for Activity Maximization in Social Networks. CoRR (2017)
Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez-Rodriguez, Krishna P. Gummadi, Adrian Weller
From Parity to Preference-based Notions of Fairness in Classification. CoRR (2017)
Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez-Rodriguez, Krishna P. Gummadi, Adrian Weller
From Parity to Preference-based Notions of Fairness in Classification. NIPS (2017)
Stevens Le Blond, Cédric Gilbert, Utkarsh Upadhyay, Manuel Gomez-Rodriguez, David R. Choffnes
A Broad View of the Ecosystem of Socially Engineered Exploit Documents. NDSS (2017)
Mehrdad Farajtabar, Yichen Wang, Manuel Gomez-Rodriguez, Shuang Li, Hongyuan Zha, Le Song
COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Evolution. J. Mach. Learn. Res. 18 (2017)
Ali Zarezade, Utkarsh Upadhyay, Hamid R. Rabiee, Manuel Gomez-Rodriguez
RedQueen: An Online Algorithm for Smart Broadcasting in Social Networks. WSDM (2017)
Charalampos Mavroforakis, Isabel Valera, Manuel Gomez-Rodriguez
Modeling the Dynamics of Learning Activity on the Web. WWW (2017)
Sebastian Tschiatschek, Adish Singla, Manuel Gomez-Rodriguez, Arpit Merchant, Andreas Krause
Detecting Fake News in Social Networks via Crowdsourcing. CoRR (2017)
Behzad Tabibian, Utkarsh Upadhyay, Abir De, Ali Zarezade, Bernhard Schölkopf, Manuel Gomez-Rodriguez
Optimizing Human Learning. CoRR (2017)
Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez-Rodriguez, Krishna P. Gummadi
Fairness Constraints: Mechanisms for Fair Classification. AISTATS (2017)
Martin Jankowiak, Manuel Gomez-Rodriguez
Uncovering the Spatiotemporal Patterns of Collective Social Activity. SDM (2017)
Jooyeon Kim, Behzad Tabibian, Alice Oh, Bernhard Schölkopf, Manuel Gomez-Rodriguez
Leveraging the Crowd to Detect and Reduce the Spread of Fake News and Misinformation. CoRR (2017)
Manuel Gomez-Rodriguez
Distilling Information Reliability and Source Trustworthiness from Digital Traces. WWW (Companion Volume) (2017)
Michael Backes, Manuel Gomez-Rodriguez, Praveen Manoharan, Bartlomiej Surma
Reconciling Privacy and Utility in Continuous-Time Diffusion Networks. CSF (2017)
Martin Jankowiak, Manuel Gomez-Rodriguez
Uncovering the Spatiotemporal Patterns of Collective Social Activity. CoRR (2017)
Utkarsh Upadhyay, Isabel Valera, Manuel Gomez-Rodriguez
Uncovering the Dynamics of Crowdlearning and the Value of Knowledge. WSDM (2017)
Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez-Rodriguez, Krishna P. Gummadi
Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment. WWW (2017)
Behzad Tabibian, Isabel Valera, Mehrdad Farajtabar, Le Song, Bernhard Schölkopf, Manuel Gomez-Rodriguez
Distilling Information Reliability and Source Trustworthiness from Digital Traces. WWW (2017)
Ali Zarezade, Abir De, Utkarsh Upadhyay, Hamid R. Rabiee, Manuel Gomez-Rodriguez
Steering Social Activity: A Stochastic Optimal Control Point Of View. J. Mach. Learn. Res. 18 (2017)
Utkarsh Upadhyay, Isabel Valera, Manuel Gomez-Rodriguez
Uncovering the Dynamics of Crowdlearning and the Value of Knowledge. CoRR (2016)
Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez-Rodriguez, Krishna P. Gummadi
Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment. CoRR (2016)
Ali Zarezade, Utkarsh Upadhyay, Hamid R. Rabiee, Manuel Gomez-Rodriguez
RedQueen: An Online Algorithm for Smart Broadcasting in Social Networks. CoRR (2016)
Mohammad Reza Karimi, Erfan Tavakoli, Mehrdad Farajtabar, Le Song, Manuel Gomez-Rodriguez
Smart broadcasting: Do you want to be seen? CoRR (2016)
Abir De, Isabel Valera, Niloy Ganguly, Sourangshu Bhattacharya, Manuel Gomez-Rodriguez
Learning and Forecasting Opinion Dynamics in Social Networks. NIPS (2016)
Manuel Gomez-Rodriguez, Le Song, Hadi Daneshmand, Bernhard Schölkopf
Estimating Diffusion Networks: Recovery Conditions, Sample Complexity and Soft-thresholding Algorithm. J. Mach. Learn. Res. 17 (2016)
Behzad Tabibian, Isabel Valera, Mehrdad Farajtabar, Le Song, Bernhard Schölkopf, Manuel Gomez-Rodriguez
Distilling Information Reliability and Source Trustworthiness from Digital Traces. CoRR (2016)
Charalampos Mavroforakis, Isabel Valera, Manuel Gomez-Rodriguez
Modeling the Dynamics of Online Learning Activity. CoRR (2016)
Mahmoudreza Babaei, Przemyslaw A. Grabowicz, Isabel Valera, Krishna P. Gummadi, Manuel Gomez-Rodriguez
On the Efficiency of the Information Networks in Social Media. CoRR (2016)
Manuel Gomez-Rodriguez, Le Song, Nan Du, Hongyuan Zha, Bernhard Schölkopf
Influence Estimation and Maximization in Continuous-Time Diffusion Networks. ACM Trans. Inf. Syst. 34 (2) (2016)
Nan Du, Hanjun Dai, Rakshit Trivedi, Utkarsh Upadhyay, Manuel Gomez-Rodriguez, Le Song
Recurrent Marked Temporal Point Processes: Embedding Event History to Vector. KDD (2016)
Nan Du, Yingyu Liang, Maria-Florina Balcan, Manuel Gomez-Rodriguez, Hongyuan Zha, Le Song
Scalable Influence Maximization for Multiple Products in Continuous-Time Diffusion Networks. CoRR (2016)
Mohammad Reza Karimi, Erfan Tavakoli, Mehrdad Farajtabar, Le Song, Manuel Gomez-Rodriguez
Smart Broadcasting: Do You Want to be Seen? KDD (2016)
Mahmoudreza Babaei, Przemyslaw A. Grabowicz, Isabel Valera, Krishna P. Gummadi, Manuel Gomez-Rodriguez
On the Efficiency of the Information Networks in Social Media. WSDM (2016)
Manuel Gomez-Rodriguez, Le Song
Diffusion in Social and Information Networks: Research Problems, Probabilistic Models and Machine Learning Methods. KDD (2015)
Mehrdad Farajtabar, Yichen Wang, Manuel Gomez-Rodriguez, Shuang Li, Hongyuan Zha, Le Song
COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Co-evolution. NIPS (2015)
Mahmoudreza Babaei, Przemyslaw A. Grabowicz, Isabel Valera, Manuel Gomez-Rodriguez
On the Users' Efficiency in the Twitter Information Network. ICWSM (2015)
Mehrdad Farajtabar, Manuel Gomez-Rodriguez, Yichen Wang, Shuang Li, Hongyuan Zha, Le Song
Co-evolutionary Dynamics of Information Diffusion and Network Structure. WWW (Companion Volume) (2015)
Mehrdad Farajtabar, Yichen Wang, Manuel Gomez-Rodriguez, Shuang Li, Hongyuan Zha, Le Song
COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Co-evolution. CoRR (2015)
Abir De, Isabel Valera, Niloy Ganguly, Sourangshu Bhattacharya, Manuel Gomez-Rodriguez
Modeling Opinion Dynamics in Diffusion Networks. CoRR (2015)
Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez-Rodriguez, Krishna P. Gummadi
Fairness Constraints: A Mechanism for Fair Classification. CoRR (2015)
Mehrdad Farajtabar, Manuel Gomez-Rodriguez, Nan Du, Mohammad Zamani, Hongyuan Zha, Le Song
Back to the Past: Source Identification in Diffusion Networks from Partially Observed Cascades. CoRR (2015)
Mehrdad Farajtabar, Manuel Gomez-Rodriguez, Mohammad Zamani, Nan Du, Hongyuan Zha, Le Song
Back to the Past: Source Identification in Diffusion Networks from Partially Observed Cascades. AISTATS (2015)
Manuel Gomez-Rodriguez, Le Song
Diffusion in Social and Information Metworks: Research Problems; Probabilistic Models & Machine Learning Methods. WWW (Companion Volume) (2015)
Isabel Valera, Manuel Gomez-Rodriguez
Modeling Adoption and Usage of Competing Products. ICDM (2015)
Mehrdad Farajtabar, Nan Du, Manuel Gomez-Rodriguez, Isabel Valera, Hongyuan Zha, Le Song
Shaping Social Activity by Incentivizing Users. CoRR (2014)
Peng Cui, Fei Wang, Hanghang Tong, Manuel Gomez-Rodriguez
1st workshop on diffusion networks and cascade analytics. WSDM (2014)
Manuel Gomez-Rodriguez, Jure Leskovec
Visualizing information networks: the 2011 Fukushima earthquake. AI Matters 1 (1) (2014)
Manuel Gomez-Rodriguez, Krishna P. Gummadi, Bernhard Schölkopf
Quantifying Information Overload in Social Media and Its Impact on Social Contagions. ICWSM (2014)
Isabel Valera, Manuel Gomez-Rodriguez, Krishna P. Gummadi
Modeling Diffusion of Competing Products and Conventions in Social Media. CoRR (2014)
Mehrdad Farajtabar, Nan Du, Manuel Gomez-Rodriguez, Isabel Valera, Hongyuan Zha, Le Song
Shaping Social Activity by Incentivizing Users. NIPS (2014)
Hadi Daneshmand, Manuel Gomez-Rodriguez, Le Song, Bernhard Schölkopf
Estimating Diffusion Network Structures: Recovery Conditions, Sample Complexity & Soft-thresholding Algorithm. CoRR (2014)
Manuel Gomez-Rodriguez, Le Song, Bernhard Schölkopf
Open Problem: Finding Good Cascade Sampling Processes for the Network Inference Problem. COLT (2014)
Hadi Daneshmand, Manuel Gomez-Rodriguez, Le Song, Bernhard Schölkopf
Estimating Diffusion Network Structures: Recovery Conditions, Sample Complexity & Soft-thresholding Algorithm. ICML (2014)
Manuel Gomez-Rodriguez, Jure Leskovec, David Balduzzi, Bernhard Schölkopf
Uncovering the structure and temporal dynamics of information propagation. Netw. Sci. 2 (1) (2014)
Manuel Gomez-Rodriguez, Krishna P. Gummadi, Bernhard Schölkopf
Quantifying Information Overload in Social Media and its Impact on Social Contagions. CoRR (2014)
Manuel Gomez-Rodriguez, Jure Leskovec, Bernhard Schölkopf
Modeling Information Propagation with Survival Theory. ICML (3) (2013)
Nan Du, Le Song, Manuel Gomez-Rodriguez, Hongyuan Zha
Scalable Influence Estimation in Continuous-Time Diffusion Networks. CoRR (2013)
Manuel Gomez-Rodriguez, Jure Leskovec, Bernhard Schölkopf
Modeling Information Propagation with Survival Theory CoRR (2013)
Nan Du, Le Song, Manuel Gomez-Rodriguez, Hongyuan Zha
Scalable Influence Estimation in Continuous-Time Diffusion Networks. NIPS (2013)

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Publication Activity (10 Years)

Top Topics

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Manuel Gomez-Rodriguez