| 2023 | AISTATS | Learning from Multiple Sources for Data-to-Text and Text-to-Data. | Song Duong, Alberto Lumbreras, Mike Gartrell, Patrick Gallinari |
| 2022 | ICLR | Scalable Sampling for Nonsymmetric Determinantal Point Processes. | Insu Han, Mike Gartrell, Jennifer Gillenwater, Elvis Dohmatob, Amin Karbasi |
| 2022 | ICML | Scalable MCMC Sampling for Nonsymmetric Determinantal Point Processes. | Insu Han, Mike Gartrell, Elvis Dohmatob, Amin Karbasi |
| 2021 | ICLR | Scalable Learning and MAP Inference for Nonsymmetric Determinantal Point Processes. | Mike Gartrell, Insu Han, Elvis Dohmatob, Jennifer Gillenwater, Victor-Emmanuel Brunel |
| 2021 | KDD | Bayesian Causal Inference for Real World Interactive Systems. | Nicolas Chopin, Mike Gartrell, Dawen Liang, Alberto Lumbreras, David Rohde, Yixin Wang |
| 2019 | AISTATS | Learning Determinantal Point Processes by Corrective Negative Sampling. | Zelda Mariet, Mike Gartrell, Suvrit Sra |
| 2019 | KDD | Tensorized Determinantal Point Processes for Recommendation. | Romain Warlop, Jrmie Mary, Mike Gartrell |
| 2017 | AAAI | Low-Rank Factorization of Determinantal Point Processes. | Mike Gartrell, Ulrich Paquet, Noam Koenigstein |
| 2016 | RecSys | Bayesian Low-Rank Determinantal Point Processes. | Mike Gartrell, Ulrich Paquet, Noam Koenigstein |
| 2013 | CIKM | AnchorMF: towards effective event context identification. | Hansu Gu, Mike Gartrell, Liang Zhang, Qin Lv, Dirk Grunwald |
| 2010 | Group | Enhancing group recommendation by incorporating social relationship interactions. | Mike Gartrell, Xinyu Xing, Qin Lv, Aaron Beach, Richard Han, Shivakant Mishra, Karim Seada |
| 2010 | PERCOM | Social-K: Real-time K-anonymity guarantees for social network applications. | Aaron Beach, Mike Gartrell, Richard Han |