Mike Gartrell

46 papers A* 8A 4B 1Misc 1Journal 27Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
Computing Wasserstein Barycenters through Gradient Flows.
CoRR
Eduardo Fernandes Montesuma, Yassir Bendou, Mike Gartrell
2025 J jnl
Differentially Private Gradient Flow based on the Sliced Wasserstein Distance.
Trans. Mach. Learn. Res.
Ilana Sebag, Muni Sreenivas Pydi, Jean-Yves Franceschi, Alain Rakotomamonjy, Mike Gartrell, Jamal Atif, Alexandre Allauzen
2025 J jnl
ReBaPL: Repulsive Bayesian Prompt Learning.
CoRR
Yassir Bendou, Omar Ezzahir, Eduardo Fernandes Montesuma, Gabriel Mahuas, Victoria Shevchenko, Mike Gartrell
2023 J jnl
Differentially Private Gradient Flow based on the Sliced Wasserstein Distance for Non-Parametric Generative Modeling.
CoRR
Ilana Sebag, Muni Sreenivas Pydi, Jean-Yves Franceschi, Alain Rakotomamonjy, Mike Gartrell, Jamal Atif, Alexandre Allauzen
2023 — conf
Evaluating the Generalization Property of Prefix-based Methods for Data-to-text Generation.
CORIA-TALN (2)
Clarine Vongpaseut, Alberto Lumbreras, Mike Gartrell, Patrick Gallinari
2023 A conf
Learning from Multiple Sources for Data-to-Text and Text-to-Data.
AISTATS
Song Duong, Alberto Lumbreras, Mike Gartrell, Patrick Gallinari
2023 J jnl
Learning from Multiple Sources for Data-to-Text and Text-to-Data.
CoRR
Song Duong, Alberto Lumbreras, Mike Gartrell, Patrick Gallinari
2023 A* conf
Unifying GANs and Score-Based Diffusion as Generative Particle Models.
NeurIPS
Jean-Yves Franceschi, Mike Gartrell, Ludovic Dos Santos, Thibaut Issenhuth, Emmanuel de Bézenac, Mickaël Chen, Alain Rakotomamonjy
2023 J jnl
Unifying GANs and Score-Based Diffusion as Generative Particle Models.
CoRR
Jean-Yves Franceschi, Mike Gartrell, Ludovic Dos Santos, Thibaut Issenhuth, Emmanuel de Bézenac, Mickaël Chen, Alain Rakotomamonjy
2022 A* conf
Scalable MCMC Sampling for Nonsymmetric Determinantal Point Processes.
ICML
Insu Han, Mike Gartrell, Elvis Dohmatob, Amin Karbasi
2022 J jnl
Scalable MCMC Sampling for Nonsymmetric Determinantal Point Processes.
CoRR
Insu Han, Mike Gartrell, Elvis Dohmatob, Amin Karbasi
2022 A* conf
Scalable Sampling for Nonsymmetric Determinantal Point Processes.
ICLR
Insu Han, Mike Gartrell, Jennifer Gillenwater, Elvis Dohmatob, Amin Karbasi
2022 J jnl
Scalable Sampling for Nonsymmetric Determinantal Point Processes.
CoRR
Insu Han, Mike Gartrell, Jennifer Gillenwater, Elvis Dohmatob, Amin Karbasi
2021 A* conf
Bayesian Causal Inference for Real World Interactive Systems.
KDD
Nicolas Chopin, Mike Gartrell, Dawen Liang, Alberto Lumbreras, David Rohde, Yixin Wang
2021 J jnl
Combining Reward and Rank Signals for Slate Recommendation.
CoRR
Imad Aouali, Sergey Ivanov, Mike Gartrell, David Rohde, Flavian Vasile, Victor Zaytsev, Diego Legrand
2021 A* conf
Scalable Learning and MAP Inference for Nonsymmetric Determinantal Point Processes.
ICLR
Mike Gartrell, Insu Han, Elvis Dohmatob, Jennifer Gillenwater, Victor-Emmanuel Brunel
2020 J jnl
Scalable Learning and MAP Inference for Nonsymmetric Determinantal Point Processes.
CoRR
Mike Gartrell, Insu Han, Elvis Dohmatob, Jennifer Gillenwater, Victor-Emmanuel Brunel
2020 J jnl
Wasserstein Learning of Determinantal Point Processes.
CoRR
Lucas Anquetil, Mike Gartrell, Alain Rakotomamonjy, Ugo Tanielian, Clément Calauzènes
2019 J jnl
Embedding models for recommendation under contextual constraints.
CoRR
Syrine Krichene, Mike Gartrell, Clément Calauzènes
2019 J jnl
GEVR: An Event Venue Recommendation System for Groups of Mobile Users.
CoRR
Jason Shuo Zhang, Mike Gartrell, Richard Han, Qin Lv, Shivakant Mishra
2019 J jnl
GEVR: An Event Venue Recommendation System for Groups of Mobile Users.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.
Jason Shuo Zhang, Mike Gartrell, Richard Han, Qin Lv, Shivakant Mishra
2019 A conf
Learning Determinantal Point Processes by Corrective Negative Sampling.
AISTATS
Zelda Mariet, Mike Gartrell, Suvrit Sra
2019 A* conf
Learning Nonsymmetric Determinantal Point Processes.
NeurIPS
Mike Gartrell, Victor-Emmanuel Brunel, Elvis Dohmatob, Syrine Krichene
2019 J jnl
Learning Nonsymmetric Determinantal Point Processes.
CoRR
Mike Gartrell, Victor-Emmanuel Brunel, Elvis Dohmatob, Syrine Krichene
2019 A* conf
Tensorized Determinantal Point Processes for Recommendation.
KDD
Romain Warlop, Jérémie Mary, Mike Gartrell
2018 J jnl
Adversarial Training of Word2Vec for Basket Completion.
CoRR
Ugo Tanielian, Mike Gartrell, Flavian Vasile
2018 J jnl
Basket Completion with Multi-task Determinantal Point Processes.
CoRR
Romain Warlop, Jérémie Mary, Mike Gartrell
2018 J jnl
Deep Determinantal Point Processes.
CoRR
Mike Gartrell, Elvis Dohmatob
2018 J jnl
Learning Determinantal Point Processes by Sampling Inferred Negatives.
CoRR
Zelda Mariet, Mike Gartrell, Suvrit Sra
2017 A* conf
Low-Rank Factorization of Determinantal Point Processes.
AAAI
Mike Gartrell, Ulrich Paquet, Noam Koenigstein
2017 J jnl
Understanding Group Event Scheduling via the OutWithFriendz Mobile Application.
CoRR
Shuo Zhang, Khaled Alanezi, Mike Gartrell, Richard Han, Qin Lv, Shivakant Mishra
2017 J jnl
Understanding Group Event Scheduling via the OutWithFriendz Mobile Application.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.
Shuo Zhang, Khaled Alanezi, Mike Gartrell, Richard Han, Qin Lv, Shivakant Mishra
2016 A conf
Bayesian Low-Rank Determinantal Point Processes.
RecSys
Mike Gartrell, Ulrich Paquet, Noam Koenigstein
2016 J jnl
Group-based Latent Dirichlet Allocation (Group-LDA): Effective audience detection for books in online social media.
Knowl. Based Syst.
Peng Zhang, Hansu Gu, Mike Gartrell, Tun Lu, Dayi Yang, Xianghua Ding, Ning Gu
2016 J jnl
Low-Rank Factorization of Determinantal Point Processes for Recommendation.
CoRR
Mike Gartrell, Ulrich Paquet, Noam Koenigstein
2016 J jnl
The Bayesian Low-Rank Determinantal Point Process Mixture Model.
CoRR
Mike Gartrell, Ulrich Paquet, Noam Koenigstein
2015 J jnl
Supporting Healthy Grocery Shopping via Mobile Augmented Reality.
ACM Trans. Multim. Comput. Commun. Appl.
Junho Ahn, James Williamson, Mike Gartrell, Richard Han, Qin Lv, Shivakant Mishra
2014 — conf
A large-scale exploration of group viewing patterns.
TVX
Allison June-Barlow Chaney, Mike Gartrell, Jake M. Hofman, John Guiver, Noam Koenigstein, Pushmeet Kohli, Ulrich Paquet
2013 A conf
AnchorMF: towards effective event context identification.
CIKM
Hansu Gu, Mike Gartrell, Liang Zhang, Qin Lv, Dirk Grunwald
2012 J jnl
q-Anon: practical anonymity for social networks.
Int. J. Soc. Comput. Cyber Phys. Syst.
Aaron Beach, Mike Gartrell, Richard Han
2010 B conf
Enhancing group recommendation by incorporating social relationship interactions.
GROUP
Mike Gartrell, Xinyu Xing, Qin Lv, Aaron Beach, Richard Han, Shivakant Mishra, Karim Seada
2010 Misc conf
Fusing mobile, sensor, and social data to fully enable context-aware computing.
HotMobile
Aaron Beach, Mike Gartrell, Xinyu Xing, Richard Han, Qin Lv, Shivakant Mishra, Karim Seada
2010 — conf
Social-K: Real-time K-anonymity guarantees for social network applications.
PerCom Workshops
Aaron Beach, Mike Gartrell, Richard Han
2010 — conf
q-Anon: Rethinking Anonymity for Social Networks.
SocialCom/PASSAT
Aaron Beach, Mike Gartrell, Richard Han
2009 — conf
Solutions to Security and Privacy Issues in Mobile Social Networking.
CSE (4)
Aaron Beach, Mike Gartrell, Richard Han
2008 J jnl
WhozThat? evolving an ecosystem for context-aware mobile social networks.
IEEE Netw.
Aaron Beach, Mike Gartrell, Sirisha Akkala, Jack Elston, John Kelley, Keisuke Nishimoto, Baishakhi Ray, Sergei Razgulin, Karthik Sundaresan, Bonnie Surendar, Michael Terada, Richard Han