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Differentiable Learning Under Triage


Mar 16, 2021
Nastaran Okati, Abir De, Manuel Gomez-Rodriguez


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Large-scale randomized experiment reveals machine learning helps people learn and remember more effectively


Oct 09, 2020
Utkarsh Upadhyay, Graham Lancashire, Christoph Moser, Manuel Gomez-Rodriguez


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Classification Under Human Assistance


Jun 21, 2020
Abir De, Nastaran Okati, Ali Zarezade, Manuel Gomez-Rodriguez


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


Apr 24, 2020
Lars Lorch, William Trouleau, Stratis Tsirtsis, Aron Szanto, Bernhard Schölkopf, Manuel Gomez-Rodriguez

* Refined model; includes effective reproduction number; includes narrowcasting; more citations; minor changes/fixes 

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Decisions, Counterfactual Explanations and Strategic Behavior


Feb 11, 2020
Stratis Tsirtsis, Manuel Gomez-Rodriguez


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Learning to Switch Between Machines and Humans


Feb 11, 2020
Vahid Balazadeh Meresht, Abir De, Adish Singla, Manuel Gomez-Rodriguez


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Can A User Anticipate What Her Followers Want?


Sep 19, 2019
Abir De, Adish Singla, Utkarsh Upadhyay, Manuel Gomez-Rodriguez

* Fixed some typos 

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Regression Under Human Assistance


Sep 18, 2019
Abir De, Paramita Koley, Niloy Ganguly, Manuel Gomez-Rodriguez

* Fixed minor typos 

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Can A User Guess What Her Followers Want?


Sep 01, 2019
Abir De, Adish Singla, Utkarsh Upadhyay, Manuel Gomez-Rodriguez


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Optimal Decision Making Under Strategic Behavior


May 22, 2019
Moein Khajehnejad, Behzad Tabibian, Bernhard Schölkopf, Adish Singla, Manuel Gomez-Rodriguez


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Improving Consequential Decision Making under Imperfect Predictions


Feb 08, 2019
Niki Kilbertus, Manuel Gomez-Rodriguez, Bernhard Schölkopf, Krikamol Muandet, Isabel Valera


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On the Network Visibility Problem


Nov 19, 2018
Khashayar Gatmiry, Manuel Gomez-Rodriguez


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Deep Reinforcement Learning of Marked Temporal Point Processes


Nov 06, 2018
Utkarsh Upadhyay, Abir De, Manuel Gomez-Rodriguez

* To appear in Proceedings of the 32nd Conference on Neural Information Processing Systems (NIPS 2018) 

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Stochastic Optimal Control of Epidemic Processes in Networks


Oct 30, 2018
Lars Lorch, Abir De, Samir Bhatt, William Trouleau, Utkarsh Upadhyay, Manuel Gomez-Rodriguez


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Designing Random Graph Models Using Variational Autoencoders With Applications to Chemical Design


May 23, 2018
Bidisha Samanta, Abir De, Niloy Ganguly, Manuel Gomez-Rodriguez


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Optimizing Human Learning


Mar 10, 2018
Behzad Tabibian, Utkarsh Upadhyay, Abir De, Ali Zarezade, Bernhard Schoelkopf, Manuel Gomez-Rodriguez


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On the Complexity of Opinions and Online Discussions


Feb 19, 2018
Utkarsh Upadhyay, Abir De, Aasish Pappu, Manuel Gomez-Rodriguez


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Steering Social Activity: A Stochastic Optimal Control Point Of View


Feb 19, 2018
Ali Zarezade, Abir De, Utkarsh Upadhyay, Hamid R. Rabiee, Manuel Gomez-Rodriguez

* To appear in JMLR 2018. arXiv admin note: substantial text overlap with arXiv:1610.05773, arXiv:1703.02059 

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Leveraging the Crowd to Detect and Reduce the Spread of Fake News and Misinformation


Nov 27, 2017
Jooyeon Kim, Behzad Tabibian, Alice Oh, Bernhard Schoelkopf, Manuel Gomez-Rodriguez

* To appear at the 11th ACM International Conference on Web Search and Data Mining (WSDM 2018) 

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Distilling Information Reliability and Source Trustworthiness from Digital Traces


Apr 02, 2017
Behzad Tabibian, Isabel Valera, Mehrdad Farajtabar, Le Song, Bernhard Schölkopf, Manuel Gomez-Rodriguez

* Accepted at 26th World Wide Web conference (WWW-17) 

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Scalable Influence Maximization for Multiple Products in Continuous-Time Diffusion Networks


Jan 29, 2017
Nan Du, Yingyu Liang, Maria-Florina Balcan, Manuel Gomez-Rodriguez, Hongyuan Zha, Le Song

* 45 pages, to appear in Journal of Machine Learning Research. arXiv admin note: substantial text overlap with arXiv:1312.2164, arXiv:1311.3669 

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Uncovering the Dynamics of Crowdlearning and the Value of Knowledge


Dec 14, 2016
Utkarsh Upadhyay, Isabel Valera, Manuel Gomez-Rodriguez

* To appear in Tenth ACM International conference on Web Search and Data Mining (WSDM) in 2017 

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Smart broadcasting: Do you want to be seen?


May 22, 2016
Mohammad Reza Karimi, Erfan Tavakoli, Mehrdad Farajtabar, Le Song, Manuel Gomez-Rodriguez

* To appear in Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), San Francisco (CA, USA), 2016 

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Estimating Diffusion Network Structures: Recovery Conditions, Sample Complexity & Soft-thresholding Algorithm


May 12, 2014
Hadi Daneshmand, Manuel Gomez-Rodriguez, Le Song, Bernhard Schoelkopf

* To appear in the 31st International Conference on Machine Learning (ICML), 2014 

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Inferring Networks of Diffusion and Influence


Oct 23, 2011
Manuel Gomez-Rodriguez, Jure Leskovec, Andreas Krause

* Short version appeared in ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2010. Long version submitted to ACM Transactions on Knowledge Discovery from Data (TKDD) 

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