Gomez-Rodriguez, Manuel

23 publications

CLeaR 2025 Counterfactual Token Generation in Large Language Models Ivi Chatzi, Nina L. Corvelo Benz, Eleni Straitouri, Stratis Tsirtsis, Manuel Gomez-Rodriguez

CLeaR 2025 Matchings, Predictions and Counterfactual Harm in Refugee Resettlement Processes Seungeon Lee, Nina L. Corvelo Benz, Suhas Thejaswi, Manuel Gomez-Rodriguez

ICML 2024 Designing Decision Support Systems Using Counterfactual Prediction Sets Eleni Straitouri, Manuel Gomez Rodriguez

NeurIPS 2024 Towards Human-AI Complementarity with Prediction Sets Giovanni De Toni, Nastaran Okati, Suhas Thejaswi, Eleni Straitouri, Manuel Gomez-Rodriguez

ICML 2023 Improving Expert Predictions with Conformal Prediction Eleni Straitouri, Lequn Wang, Nastaran Okati, Manuel Gomez Rodriguez

ECML-PKDD 2023 Machine Learning and Knowledge Discovery in Databases: Research Track - European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023, Proceedings, Part I Danai Koutra, Claudia Plant, Manuel Gomez-Rodriguez, Elena Baralis, Francesco Bonchi

ICML 2023 On the Within-Group Fairness of Screening Classifiers Nastaran Okati, Stratis Tsirtsis, Manuel Gomez Rodriguez

UAI 2022 Counterfactual Inference of Second Opinions Nina L. Corvelo Benz, Manuel Gomez Rodriguez

JMLR 2020 NEVAE: A Deep Generative Model for Molecular Graphs Bidisha Samanta, Abir De, Gourhari Jana, Vicenç Gómez, Pratim Chattaraj, Niloy Ganguly, Manuel Gomez-Rodriguez

UAI 2020 On the Design of Consequential Ranking Algorithms Behzad Tabibian, Vicenç Gómez, Abir De, Bernhard Schölkopf, Manuel Gomez Rodriguez

AAAI 2020 Regression Under Human Assistance Abir De, Paramita Koley, Niloy Ganguly, Manuel Gomez-Rodriguez

JMLR 2019 Fairness Constraints: A Flexible Approach for Fair Classification Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez-Rodriguez, Krishna P. Gummadi

JMLR 2017 COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Evolution Mehrdad Farajtabar, Yichen Wang, Manuel Gomez-Rodriguez, Shuang Li, Hongyuan Zha, Le Song

AISTATS 2017 Fairness Constraints: Mechanisms for Fair Classification Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez-Rodriguez, Krishna P. Gummadi

JMLR 2017 Scalable Influence Maximization for Multiple Products in Continuous-Time Diffusion Networks Nan Du, Yingyu Liang, Maria-Florina Balcan, Manuel Gomez-Rodriguez, Hongyuan Zha, Le Song

JMLR 2016 Estimating Diffusion Networks: Recovery Conditions, Sample Complexity and Soft-Thresholding Algorithm Manuel Gomez-Rodriguez, Le Song, Hadi Daneshm, Bernhard Schölkopf

AISTATS 2015 Back to the past: Source Identification in Diffusion Networks from Partially Observed Cascades Mehrdad Farajtabar, Manuel Gomez-Rodriguez, Mohammad Zamani, Nan Du, Hongyuan Zha, Le Song

ICML 2014 Estimating Diffusion Network Structures: Recovery Conditions, Sample Complexity & Soft-Thresholding Algorithm Hadi Daneshmand, Manuel Gomez-Rodriguez, Le Song, Bernhard Schoelkopf

COLT 2014 Open Problem: Finding Good Cascade Sampling Processes for the Network Inference Problem Manuel Gomez-Rodriguez, Le Song, Bernhard Schölkopf

ICML 2013 Modeling Information Propagation with Survival Theory Manuel Gomez-Rodriguez, Jure Leskovec, Bernhard Schölkopf

ICML 2012 Influence Maximization in Continuous Time Diffusion Networks Manuel Gomez-Rodriguez, Bernhard Schölkopf

ICML 2012 Submodular Inference of Diffusion Networks from Multiple Trees Manuel Gomez-Rodriguez, Bernhard Schölkopf

ICML 2011 Uncovering the Temporal Dynamics of Diffusion Networks Manuel Gomez-Rodriguez, David Balduzzi, Bernhard Schölkopf