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Manuel Gomez Rodriguez
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2020 – today
- 2024
[j16]Stratis Tsirtsis
, Behzad Tabibian, Moein Khajehnejad, Adish Singla, Bernhard Schölkopf, Manuel Gomez-Rodriguez:
Optimal Decision Making Under Strategic Behavior. Manag. Sci. 70(12): 8506-8519 (2024)- [c58]Eleni Straitouri, Manuel Gomez Rodriguez:
Designing Decision Support Systems using Counterfactual Prediction Sets. ICML 2024 - [i66]Ivi Chatzi, Eleni Straitouri, Suhas Thejaswi, Manuel Gomez Rodriguez:
Prediction-Powered Ranking of Large Language Models. CoRR abs/2402.17826 (2024) - [i65]Giovanni De Toni, Nastaran Okati, Suhas Thejaswi, Eleni Straitouri, Manuel Gomez-Rodriguez:
Towards Human-AI Complementarity with Predictions Sets. CoRR abs/2405.17544 (2024) - [i64]Eleni Straitouri, Suhas Thejaswi, Manuel Gomez Rodriguez:
Controlling Counterfactual Harm in Decision Support Systems Based on Prediction Sets. CoRR abs/2406.06671 (2024) - [i63]Seungeon Lee, Nina Corvelo Benz, Suhas Thejaswi, Manuel Gomez-Rodriguez:
Matchings, Predictions and Counterfactual Harm in Refugee Resettlement Processes. CoRR abs/2407.13052 (2024) - [i62]Ivi Chatzi, Nina Corvelo Benz, Eleni Straitouri, Stratis Tsirtsis, Manuel Gomez-Rodriguez:
Counterfactual Token Generation in Large Language Models. CoRR abs/2409.17027 (2024) - 2023
- [c57]Nastaran Okati, Stratis Tsirtsis, Manuel Gomez Rodriguez:
On the Within-Group Fairness of Screening Classifiers. ICML 2023: 26495-26516 - [c56]Eleni Straitouri, Lequn Wang, Nastaran Okati, Manuel Gomez Rodriguez:
Improving Expert Predictions with Conformal Prediction. ICML 2023: 32633-32653 - [e5]Danai Koutra, Claudia Plant, Manuel Gomez-Rodriguez, Elena Baralis, Francesco Bonchi:
Machine Learning and Knowledge Discovery in Databases: Research Track - European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023, Proceedings, Part I. Lecture Notes in Computer Science 14169, Springer 2023, ISBN 978-3-031-43411-2 [contents] - [e4]Danai Koutra, Claudia Plant, Manuel Gomez Rodriguez, Elena Baralis, Francesco Bonchi:
Machine Learning and Knowledge Discovery in Databases: Research Track - European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023, Proceedings, Part II. Lecture Notes in Computer Science 14170, Springer 2023, ISBN 978-3-031-43414-3 [contents] - [e3]Danai Koutra, Claudia Plant, Manuel Gomez Rodriguez, Elena Baralis, Francesco Bonchi:
Machine Learning and Knowledge Discovery in Databases: Research Track - European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023, Proceedings, Part III. Lecture Notes in Computer Science 14171, Springer 2023, ISBN 978-3-031-43417-4 [contents] - [e2]Danai Koutra, Claudia Plant, Manuel Gomez Rodriguez, Elena Baralis, Francesco Bonchi:
Machine Learning and Knowledge Discovery in Databases: Research Track - European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023, Proceedings, Part IV. Lecture Notes in Computer Science 14172, Springer 2023, ISBN 978-3-031-43420-4 [contents] - [e1]Danai Koutra, Claudia Plant, Manuel Gomez Rodriguez, Elena Baralis, Francesco Bonchi:
Machine Learning and Knowledge Discovery in Databases: Research Track - European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023, Proceedings, Part V. Lecture Notes in Computer Science 14173, Springer 2023, ISBN 978-3-031-43423-5 [contents] - [i61]Nastaran Okati, Stratis Tsirtsis, Manuel Gomez Rodriguez:
On the Within-Group Discrimination of Screening Classifiers. CoRR abs/2302.00025 (2023) - [i60]Nina L. Corvelo Benz, Manuel Gomez Rodriguez:
Human-Aligned Calibration for AI-Assisted Decision Making. CoRR abs/2306.00074 (2023) - [i59]Eleni Straitouri, Manuel Gomez Rodriguez:
Designing Decision Support Systems Using Counterfactual Prediction Sets. CoRR abs/2306.03928 (2023) - [i58]Stratis Tsirtsis, Manuel Gomez-Rodriguez:
Finding Counterfactually Optimal Action Sequences in Continuous State Spaces. CoRR abs/2306.03929 (2023) - 2022
- [j15]Stratis Tsirtsis, Abir De, Lars Lorch, Manuel Gomez-Rodriguez:
Pooled testing of traced contacts under superspreading dynamics. PLoS Comput. Biol. 18(3) (2022) - [j14]Vahid Balazadeh Meresht, Abir De, Adish Singla, Manuel Gomez Rodriguez:
Learning to Switch Among Agents in a Team. Trans. Mach. Learn. Res. 2022 (2022) - [j13]Khashayar Gatmiry, Manuel Gomez-Rodriguez:
The Network Visibility Problem. ACM Trans. Inf. Syst. 40(2): 22:1-22:42 (2022) - [j12]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): 25:1-25:28 (2022) - [c55]Lequn Wang, Thorsten Joachims, Manuel Gomez Rodriguez:
Improving Screening Processes via Calibrated Subset Selection. ICML 2022: 22702-22726 - [c54]Kimia Noorbakhsh, Manuel Gomez-Rodriguez:
Counterfactual Temporal Point Processes. NeurIPS 2022 - [c53]Nina L. Corvelo Benz, Manuel Gomez Rodriguez:
Counterfactual inference of second Opinions. UAI 2022: 453-463 - [i57]Eleni Straitouri, Lequn Wang, Nastaran Okati, Manuel Gomez Rodriguez:
Provably Improving Expert Predictions with Conformal Prediction. CoRR abs/2201.12006 (2022) - [i56]Lequn Wang, Thorsten Joachims, Manuel Gomez Rodriguez:
Improving Screening Processes via Calibrated Subset Selection. CoRR abs/2202.01147 (2022) - [i55]Nina Corvelo Benz, Manuel Gomez Rodriguez:
Counterfactual Inference of Second Opinions. CoRR abs/2203.08653 (2022) - 2021
- [c52]Abir De, Nastaran Okati, Ali Zarezade, Manuel Gomez Rodriguez:
Classification Under Human Assistance. AAAI 2021: 5905-5913 - [c51]Nastaran Okati, Abir De, Manuel Gomez-Rodriguez:
Differentiable Learning Under Triage. NeurIPS 2021: 9140-9151 - [i54]Nastaran Okati, Abir De, Manuel Gomez-Rodriguez:
Differentiable Learning Under Triage. CoRR abs/2103.08902 (2021) - [i53]Stratis Tsirtsis, Abir De, Lars Lorch, Manuel Gomez-Rodriguez:
Group Testing under Superspreading Dynamics. CoRR abs/2106.15988 (2021) - [i52]Stratis Tsirtsis, Abir De, Manuel Gomez-Rodriguez:
Counterfactual Explanations in Sequential Decision Making Under Uncertainty. CoRR abs/2107.02776 (2021) - [i51]Eleni Straitouri, Adish Singla, Vahid Balazadeh Meresht, Manuel Gomez-Rodriguez:
Reinforcement Learning Under Algorithmic Triage. CoRR abs/2109.11328 (2021) - [i50]Kimia Noorbakhsh, Manuel Gomez Rodriguez:
Counterfactual Temporal Point Processes. CoRR abs/2111.07603 (2021) - 2020
- [j11]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: 114:1-114:33 (2020) - [j10]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) - [c50]Abir De, Paramita Koley, Niloy Ganguly, Manuel Gomez-Rodriguez:
Regression under Human Assistance. AAAI 2020: 2611-2620 - [c49]Niki Kilbertus, Manuel Gomez Rodriguez, Bernhard Schölkopf, Krikamol Muandet, Isabel Valera:
Fair Decisions Despite Imperfect Predictions. AISTATS 2020: 277-287 - [c48]Stratis Tsirtsis, Manuel Gomez Rodriguez:
Decisions, Counterfactual Explanations and Strategic Behavior. NeurIPS 2020 - [c47]Behzad Tabibian, Vicenç Gómez, Abir De, Bernhard Schölkopf, Manuel Gomez Rodriguez:
On the design of consequential ranking algorithms. UAI 2020: 171-180 - [c46]Abir De, Adish Singla, Utkarsh Upadhyay, Manuel Gomez-Rodriguez:
Can A User Guess What Her Followers Want? WSDM 2020: 142-150 - [i49]Vahid Balazadeh Meresht, Abir De, Adish Singla, Manuel Gomez-Rodriguez:
Learning to Switch Between Machines and Humans. CoRR abs/2002.04258 (2020) - [i48]Stratis Tsirtsis, Manuel Gomez-Rodriguez:
Decisions, Counterfactual Explanations and Strategic Behavior. CoRR abs/2002.04333 (2020) - [i47]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 abs/2004.07641 (2020) - [i46]Abir De, Nastaran Okati, Ali Zarezade, Manuel Gomez-Rodriguez:
Classification Under Human Assistance. CoRR abs/2006.11845 (2020) - [i45]Utkarsh Upadhyay, Graham Lancashire, Christoph Moser, Manuel Gomez-Rodriguez:
Large-scale randomized experiment reveals machine learning helps people learn and remember more effectively. CoRR abs/2010.04430 (2020) - [i44]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 abs/2011.08069 (2020)
2010 – 2019
- 2019
- [j9]Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez-Rodriguez, Krishna P. Gummadi:
Fairness Constraints: A Flexible Approach for Fair Classification. J. Mach. Learn. Res. 20: 75:1-75:42 (2019) - [c45]Bidisha Samanta, Abir De, Gourhari Jana, Pratim Kumar Chattaraj, Niloy Ganguly, Manuel Gomez Rodriguez:
NeVAE: A Deep Generative Model for Molecular Graphs. AAAI 2019: 1110-1117 - [c44]Anette Hunziker, Yuxin Chen, Oisin Mac Aodha, Manuel Gomez Rodriguez, Andreas Krause, Pietro Perona, Yisong Yue, Adish Singla:
Teaching Multiple Concepts to a Forgetful Learner. NeurIPS 2019: 4050-4060 - [c43]Utkarsh Upadhyay, Abir De, Aasish Pappu, Manuel Gomez-Rodriguez:
On the Complexity of Opinions and Online Discussions. WSDM 2019: 258-266 - [i43]Niki Kilbertus, Manuel Gomez-Rodriguez, Bernhard Schölkopf, Krikamol Muandet, Isabel Valera:
Improving Consequential Decision Making under Imperfect Predictions. CoRR abs/1902.02979 (2019) - [i42]Behzad Tabibian, Vicenç Gómez, Abir De, Bernhard Schölkopf, Manuel Gomez Rodriguez:
Consequential Ranking Algorithms and Long-term Welfare. CoRR abs/1905.05305 (2019) - [i41]Moein Khajehnejad, Behzad Tabibian, Bernhard Schölkopf, Adish Singla, Manuel Gomez-Rodriguez:
Optimal Decision Making Under Strategic Behavior. CoRR abs/1905.09239 (2019) - [i40]Abir De, Adish Singla, Utkarsh Upadhyay, Manuel Gomez-Rodriguez:
Can A User Anticipate What Her Followers Want? CoRR abs/1909.00440 (2019) - [i39]Abir De, Paramita Koley, Niloy Ganguly, Manuel Gomez-Rodriguez:
Regression Under Human Assistance. CoRR abs/1909.02963 (2019) - 2018
- [c42]Isabel Valera, Adish Singla, Manuel Gomez Rodriguez:
Enhancing the Accuracy and Fairness of Human Decision Making. NeurIPS 2018: 1774-1783 - [c41]Utkarsh Upadhyay, Abir De, Manuel Gomez Rodriguez:
Deep Reinforcement Learning of Marked Temporal Point Processes. NeurIPS 2018: 3172-3182 - [c40]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: 324-332 - [c39]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: 473-477 - [c38]Sebastian Tschiatschek, Adish Singla, Manuel Gomez-Rodriguez, Arpit Merchant, Andreas Krause:
Fake News Detection in Social Networks via Crowd Signals. WWW (Companion Volume) 2018: 517-524 - [c37]Tomasz Kusmierczyk, Manuel Gomez-Rodriguez:
On the Causal Effect of Badges. WWW 2018: 659-668 - [i38]Bidisha Samanta, Abir De, Niloy Ganguly, Manuel Gomez-Rodriguez:
Designing Random Graph Models Using Variational Autoencoders With Applications to Chemical Design. CoRR abs/1802.05283 (2018) - [i37]Utkarsh Upadhyay, Abir De, Aasish Pappu, Manuel Gomez-Rodriguez:
On the Complexity of Opinions and Online Discussions. CoRR abs/1802.06807 (2018) - [i36]Ali Zarezade, Abir De, Utkarsh Upadhyay, Hamid R. Rabiee, Manuel Gomez-Rodriguez:
Steering Social Activity: A Stochastic Optimal Control Point Of View. CoRR abs/1802.07244 (2018) - [i35]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 abs/1805.08322 (2018) - [i34]Utkarsh Upadhyay, Abir De, Manuel Gomez-Rodriguez:
Deep Reinforcement Learning of Marked Temporal Point Processes. CoRR abs/1805.09360 (2018) - [i33]Isabel Valera, Adish Singla, Manuel Gomez Rodriguez:
Enhancing the Accuracy and Fairness of Human Decision Making. CoRR abs/1805.10318 (2018) - [i32]Lars Lorch, Abir De, Samir Bhatt, William Trouleau, Utkarsh Upadhyay, Manuel Gomez-Rodriguez:
Stochastic Optimal Control of Epidemic Processes in Networks. CoRR abs/1810.13043 (2018) - [i31]Khashayar Gatmiry, Manuel Gomez-Rodriguez:
On the Network Visibility Problem. CoRR abs/1811.07863 (2018) - 2017
- [j8]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: 2:1-2:45 (2017) - [j7]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: 41:1-41:49 (2017) - [j6]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: 205:1-205:35 (2017) - [c36]Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez-Rodriguez, Krishna P. Gummadi:
Fairness Constraints: Mechanisms for Fair Classification. AISTATS 2017: 962-970 - [c35]Michael Backes, Manuel Gomez-Rodriguez, Praveen Manoharan, Bartlomiej Surma:
Reconciling Privacy and Utility in Continuous-Time Diffusion Networks. CSF 2017: 292-304 - [c34]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 - [c33]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: 229-239 - [c32]Martin Jankowiak, Manuel Gomez-Rodriguez:
Uncovering the Spatiotemporal Patterns of Collective Social Activity. SDM 2017: 822-830 - [c31]Ali Zarezade, Utkarsh Upadhyay, Hamid R. Rabiee, Manuel Gomez-Rodriguez:
RedQueen: An Online Algorithm for Smart Broadcasting in Social Networks. WSDM 2017: 51-60 - [c30]Utkarsh Upadhyay, Isabel Valera, Manuel Gomez-Rodriguez:
Uncovering the Dynamics of Crowdlearning and the Value of Knowledge. WSDM 2017: 61-70 - [c29]Behzad Tabibian, Isabel Valera, Mehrdad Farajtabar, Le Song, Bernhard Schölkopf, Manuel Gomez-Rodriguez:
Distilling Information Reliability and Source Trustworthiness from Digital Traces. WWW 2017: 847-855 - [c28]Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez-Rodriguez, Krishna P. Gummadi:
Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment. WWW 2017: 1171-1180 - [c27]Charalampos Mavroforakis, Isabel Valera, Manuel Gomez-Rodriguez:
Modeling the Dynamics of Learning Activity on the Web. WWW 2017: 1421-1430 - [c26]Manuel Gomez-Rodriguez:
Distilling Information Reliability and Source Trustworthiness from Digital Traces. WWW (Companion Volume) 2017: 1513 - [i30]Martin Jankowiak, Manuel Gomez-Rodriguez:
Uncovering the Spatiotemporal Patterns of Collective Social Activity. CoRR abs/1701.02740 (2017) - [i29]Ali Zarezade, Abir De, Hamid R. Rabiee, Manuel Gomez-Rodriguez:
Cheshire: An Online Algorithm for Activity Maximization in Social Networks. CoRR abs/1703.02059 (2017) - [i28]Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez-Rodriguez, Krishna P. Gummadi, Adrian Weller:
From Parity to Preference-based Notions of Fairness in Classification. CoRR abs/1707.00010 (2017) - [i27]Tomasz Kusmierczyk, Manuel Gomez-Rodriguez:
Harnessing Natural Experiments to Quantify the Causal Effect of Badges. CoRR abs/1707.08160 (2017) - [i26]Sebastian Tschiatschek, Adish Singla, Manuel Gomez-Rodriguez, Arpit Merchant, Andreas Krause:
Detecting Fake News in Social Networks via Crowdsourcing. CoRR abs/1711.09025 (2017) - [i25]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 abs/1711.09918 (2017) - [i24]Behzad Tabibian, Utkarsh Upadhyay, Abir De, Ali Zarezade, Bernhard Schölkopf, Manuel Gomez-Rodriguez:
Optimizing Human Learning. CoRR abs/1712.01856 (2017) - 2016
- [j5]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: 90:1-90:29 (2016) - [j4]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): 9:1-9:33 (2016) - [c25]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: 1555-1564 - [c24]Mohammad Reza Karimi, Erfan Tavakoli, Mehrdad Farajtabar, Le Song, Manuel Gomez-Rodriguez:
Smart Broadcasting: Do You Want to be Seen? KDD 2016: 1635-1644 - [c23]Abir De, Isabel Valera, Niloy Ganguly, Sourangshu Bhattacharya, Manuel Gomez-Rodriguez:
Learning and Forecasting Opinion Dynamics in Social Networks. NIPS 2016: 397-405 - [c22]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: 83-92 - [i23]Mahmoudreza Babaei, Przemyslaw A. Grabowicz, Isabel Valera, Krishna P. Gummadi, Manuel Gomez-Rodriguez:
On the Efficiency of the Information Networks in Social Media. CoRR abs/1603.04447 (2016) - [i22]Mohammad Reza Karimi, Erfan Tavakoli, Mehrdad Farajtabar, Le Song, Manuel Gomez-Rodriguez:
Smart broadcasting: Do you want to be seen? CoRR abs/1605.06855 (2016) - [i21]Ali Zarezade, Utkarsh Upadhyay, Hamid R. Rabiee, Manuel Gomez-Rodriguez:
RedQueen: An Online Algorithm for Smart Broadcasting in Social Networks. CoRR abs/1610.05773 (2016) - [i20]Charalampos Mavroforakis, Isabel Valera, Manuel Gomez-Rodriguez:
Modeling the Dynamics of Online Learning Activity. CoRR abs/1610.05775 (2016) - [i19]Behzad Tabibian, Isabel Valera, Mehrdad Farajtabar, Le Song, Bernhard Schölkopf, Manuel Gomez-Rodriguez:
Distilling Information Reliability and Source Trustworthiness from Digital Traces. CoRR abs/1610.07472 (2016) - [i18]Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez-Rodriguez, Krishna P. Gummadi:
Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment. CoRR abs/1610.08452 (2016) - [i17]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 abs/1612.02712 (2016) - [i16]Utkarsh Upadhyay, Isabel Valera, Manuel Gomez-Rodriguez:
Uncovering the Dynamics of Crowdlearning and the Value of Knowledge. CoRR abs/1612.04831 (2016) - 2015
- [c21]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 - [c20]Isabel Valera, Manuel Gomez-Rodriguez:
Modeling Adoption and Usage of Competing Products. ICDM 2015: 409-418 - [c19]Mahmoudreza Babaei, Przemyslaw A. Grabowicz, Isabel Valera, Manuel Gomez-Rodriguez:
On the Users' Efficiency in the Twitter Information Network. ICWSM 2015: 570-573 - [c18]Manuel Gomez-Rodriguez, Le Song:
Diffusion in Social and Information Networks: Research Problems, Probabilistic Models and Machine Learning Methods. KDD 2015: 2315-2316 - [c17]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: 1954-1962 - [c16]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: 619-620 - [c15]Manuel Gomez-Rodriguez, Le Song:
Diffusion in Social and Information Metworks: Research Problems; Probabilistic Models & Machine Learning Methods. WWW (Companion Volume) 2015: 1527-1528 - [i15]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 abs/1501.06582 (2015) - [i14]Abir De, Isabel Valera, Niloy Ganguly, Sourangshu Bhattacharya, Manuel Gomez-Rodriguez:
Modeling Opinion Dynamics in Diffusion Networks. CoRR abs/1506.05474 (2015) - [i13]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 abs/1507.02293 (2015) - [i12]Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez-Rodriguez, Krishna P. Gummadi:
Fairness Constraints: A Mechanism for Fair Classification. CoRR abs/1507.05259 (2015) - 2014
- [j3]Manuel Gomez-Rodriguez, Jure Leskovec:
Visualizing information networks: the 2011 Fukushima earthquake. AI Matters 1(1): 23-24 (2014) - [j2]