Mike Gartrell

According to our database, Mike Gartrell authored at least 35 papers between 2008 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Differentially Private Gradient Flow based on the Sliced Wasserstein Distance for Non-Parametric Generative Modeling.

Ilana Sebag, Muni Sreenivas Pydi, Jean-Yves Franceschi, Alain Rakotomamonjy, Mike Gartrell, Jamal Atif, Alexandre Allauzen

CoRR, 2023

Evaluating the Generalization Property of Prefix-based Methods for Data-to-text Generation.

Clarine Vongpaseut, Alberto Lumbreras, Mike Gartrell, Patrick Gallinari

Proceedings of the Actes de CORIA-TALN 2023. Actes de la 30e Conférence sur le Traitement Automatique des Langues Naturelles, TALN 2023 - Volume 2 : travaux de recherche originaux, 2023

Unifying GANs and Score-Based Diffusion as Generative Particle Models.

Jean-Yves Franceschi, Mike Gartrell, Ludovic Dos Santos, Thibaut Issenhuth, Emmanuel de Bézenac, Mickaël Chen, Alain Rakotomamonjy

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning from Multiple Sources for Data-to-Text and Text-to-Data.

Song Duong, Alberto Lumbreras, Mike Gartrell, Patrick Gallinari

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Scalable MCMC Sampling for Nonsymmetric Determinantal Point Processes.

Insu Han, Mike Gartrell, Elvis Dohmatob, Amin Karbasi

Proceedings of the International Conference on Machine Learning, 2022

Scalable Sampling for Nonsymmetric Determinantal Point Processes.

Insu Han, Mike Gartrell, Jennifer Gillenwater, Elvis Dohmatob, Amin Karbasi

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Combining Reward and Rank Signals for Slate Recommendation.

Imad Aouali, Sergey Ivanov, Mike Gartrell, David Rohde, Flavian Vasile, Victor Zaytsev, Diego Legrand

CoRR, 2021

Bayesian Causal Inference for Real World Interactive Systems.

Nicolas Chopin, Mike Gartrell, Dawen Liang, Alberto Lumbreras, David Rohde, Yixin Wang

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Scalable Learning and MAP Inference for Nonsymmetric Determinantal Point Processes.

Mike Gartrell, Insu Han, Elvis Dohmatob, Jennifer Gillenwater, Victor-Emmanuel Brunel

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Wasserstein Learning of Determinantal Point Processes.

Lucas Anquetil, Mike Gartrell, Alain Rakotomamonjy, Ugo Tanielian, Clément Calauzènes

CoRR, 2020

2019

GEVR: An Event Venue Recommendation System for Groups of Mobile Users.

Jason Shuo Zhang, Mike Gartrell, Richard Han, Qin Lv, Shivakant Mishra

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2019

Embedding models for recommendation under contextual constraints.

Syrine Krichene, Mike Gartrell, Clément Calauzènes

CoRR, 2019

Learning Nonsymmetric Determinantal Point Processes.

Mike Gartrell, Victor-Emmanuel Brunel, Elvis Dohmatob, Syrine Krichene

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Tensorized Determinantal Point Processes for Recommendation.

Romain Warlop, Jérémie Mary, Mike Gartrell

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Learning Determinantal Point Processes by Corrective Negative Sampling.

Zelda Mariet, Mike Gartrell, Suvrit Sra

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Deep Determinantal Point Processes.

Mike Gartrell, Elvis Dohmatob

CoRR, 2018

Basket Completion with Multi-task Determinantal Point Processes.

Romain Warlop, Jérémie Mary, Mike Gartrell

CoRR, 2018

Adversarial Training of Word2Vec for Basket Completion.

Ugo Tanielian, Mike Gartrell, Flavian Vasile

CoRR, 2018

Learning Determinantal Point Processes by Sampling Inferred Negatives.

Zelda Mariet, Mike Gartrell, Suvrit Sra

CoRR, 2018

2017

Understanding Group Event Scheduling via the OutWithFriendz Mobile Application.

Shuo Zhang, Khaled Alanezi, Mike Gartrell, Richard Han, Qin Lv, Shivakant Mishra

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2017

Low-Rank Factorization of Determinantal Point Processes.

Mike Gartrell, Ulrich Paquet, Noam Koenigstein

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Group-based Latent Dirichlet Allocation (Group-LDA): Effective audience detection for books in online social media.

Peng Zhang, Hansu Gu, Mike Gartrell, Tun Lu, Dayi Yang, Xianghua Ding, Ning Gu

Knowl. Based Syst., 2016

The Bayesian Low-Rank Determinantal Point Process Mixture Model.

Mike Gartrell, Ulrich Paquet, Noam Koenigstein

CoRR, 2016

Low-Rank Factorization of Determinantal Point Processes for Recommendation.

Mike Gartrell, Ulrich Paquet, Noam Koenigstein

CoRR, 2016

Bayesian Low-Rank Determinantal Point Processes.

Mike Gartrell, Ulrich Paquet, Noam Koenigstein

Proceedings of the 10th ACM Conference on Recommender Systems, 2016

2015

Supporting Healthy Grocery Shopping via Mobile Augmented Reality.

Junho Ahn, James Williamson, Mike Gartrell, Richard Han, Qin Lv, Shivakant Mishra

ACM Trans. Multim. Comput. Commun. Appl., 2015

2014

A large-scale exploration of group viewing patterns.

Allison June-Barlow Chaney, Mike Gartrell, Jake M. Hofman, John Guiver, Noam Koenigstein, Pushmeet Kohli, Ulrich Paquet

Proceedings of the ACM International Conference on Interactive Experiences for TV and Online Video, 2014

2013

AnchorMF: towards effective event context identification.

Hansu Gu, Mike Gartrell, Liang Zhang, Qin Lv, Dirk Grunwald

Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

2012

q-Anon: practical anonymity for social networks.

Aaron Beach, Mike Gartrell, Richard Han

Int. J. Soc. Comput. Cyber Phys. Syst., 2012

2010

Fusing mobile, sensor, and social data to fully enable context-aware computing.

Aaron Beach, Mike Gartrell, Xinyu Xing, Richard Han, Qin Lv, Shivakant Mishra, Karim Seada

Proceedings of the Eleventh Workshop on Mobile Computing Systems and Applications, 2010

q-Anon: Rethinking Anonymity for Social Networks.

Aaron Beach, Mike Gartrell, Richard Han

Proceedings of the 2010 IEEE Second International Conference on Social Computing, 2010

Social-K: Real-time K-anonymity guarantees for social network applications.

Aaron Beach, Mike Gartrell, Richard Han

Proceedings of the Eigth Annual IEEE International Conference on Pervasive Computing and Communications, 2010

Enhancing group recommendation by incorporating social relationship interactions.

Mike Gartrell, Xinyu Xing, Qin Lv, Aaron Beach, Richard Han, Shivakant Mishra, Karim Seada

Proceedings of the 2010 International ACM SIGGROUP Conference on Supporting Group Work, 2010

2009

Solutions to Security and Privacy Issues in Mobile Social Networking.

Aaron Beach, Mike Gartrell, Richard Han

Proceedings of the 12th IEEE International Conference on Computational Science and Engineering, 2009

2008

WhozThat? evolving an ecosystem for context-aware mobile social networks.

Aaron Beach, Mike Gartrell, Sirisha Akkala, Jack Elston, John Kelley, Keisuke Nishimoto, Baishakhi Ray, Sergei Razgulin, Karthik Sundaresan, Bonnie Surendar, Michael Terada, Richard Han

IEEE Netw., 2008