XuanLong Nguyen
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
21
Venues
10
Active years
2000–2023
Best venue rank
A*
Where they publish
Papers
21 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2023 | ICML | On Excess Mass Behavior in Gaussian Mixture Models with Orlicz-Wasserstein Distances. | Aritra Guha, Nhat Ho, XuanLong Nguyen |
| 2023 | ICML | Interpolation for Robust Learning: Data Augmentation on Wasserstein Geodesics. | Jiacheng Zhu, Jielin Qiu, Aritra Guha, Zhuolin Yang, XuanLong Nguyen, Bo Li, Ding Zhao |
| 2023 | UAI | Scalable nonparametric Bayesian learning for dynamic velocity fields. | Sunrit Chakraborty, Aritra Guha, Rayleigh Lei, XuanLong Nguyen |
| 2020 | AISTATS | Rk-means: Fast Clustering for Relational Data. | Ryan R. Curtin, Benjamin Moseley, Hung Q. Ngo, XuanLong Nguyen, Dan Olteanu, Maximilian Schleich |
| 2019 | ICML | Dirichlet Simplex Nest and Geometric Inference. | Mikhail Yurochkin, Aritra Guha, Yuekai Sun, XuanLong Nguyen |
| 2019 | PODS | On Functional Aggregate Queries with Additive Inequalities. | Mahmoud Abo Khamis, Ryan R. Curtin, Benjamin Moseley, Hung Q. Ngo, XuanLong Nguyen, Dan Olteanu, Maximilian Schleich |
| 2019 | SIGMOD | A Layered Aggregate Engine for Analytics Workloads. | Maximilian Schleich, Dan Olteanu, Mahmoud Abo Khamis, Hung Q. Ngo, XuanLong Nguyen |
| 2018 | PODS | In-Database Learning with Sparse Tensors. | Mahmoud Abo Khamis, Hung Q. Ngo, XuanLong Nguyen, Dan Olteanu, Maximilian Schleich |
| 2018 | SIGMOD | AC/DC: In-Database Learning Thunderstruck. | Mahmoud Abo Khamis, Hung Q. Ngo, XuanLong Nguyen, Dan Olteanu, Maximilian Schleich |
| 2017 | ICML | Multilevel Clustering via Wasserstein Means. | Nhat Ho, XuanLong Nguyen, Mikhail Yurochkin, Hung Hai Bui, Viet Huynh, Dinh Q. Phung |
| 2016 | UAI | Scalable Nonparametric Bayesian Multilevel Clustering. | Viet Huynh, Dinh Q. Phung, Svetha Venkatesh, XuanLong Nguyen, Matthew D. Hoffman, Hung Hai Bui |
| 2015 | PAKDD | Learning Conditional Latent Structures from Multiple Data Sources. | Viet Huynh, Dinh Q. Phung, XuanLong Nguyen, Svetha Venkatesh, Hung Hai Bui |
| 2014 | ICML | Bayesian Nonparametric Multilevel Clustering with Group-Level Contexts. | Tien-Vu Nguyen, Dinh Quoc Phung, XuanLong Nguyen, Svetha Venkatesh, Hung Bui |
| 2014 | ICML | Understanding the Limiting Factors of Topic Modeling via Posterior Contraction Analysis. | Jian Tang, Zhaoshi Meng, XuanLong Nguyen, Qiaozhu Mei, Ming Zhang |
| 2012 | ISIT | Message-passing sequential detection of multiple change points in networks. | XuanLong Nguyen, Arash A. Amini, Ram Rajagopal |
| 2007 | INFOCOM | Communication-Efficient Online Detection of Network-Wide Anomalies. | Ling Huang, XuanLong Nguyen, Minos N. Garofalakis, Joseph M. Hellerstein, Michael I. Jordan, Anthony D. Joseph, Nina Taft |
| 2007 | ISIT | Nonparametric estimation of the likelihood ratio and divergence functionals. | XuanLong Nguyen, Martin J. Wainwright, Michael I. Jordan |
| 2006 | ISIT | On optimal quantization rules for sequential decision problems. | XuanLong Nguyen, Martin J. Wainwright, Michael I. Jordan |
| 2004 | ICML | Decentralized detection and classification using kernel methods. | XuanLong Nguyen, Martin J. Wainwright, Michael I. Jordan |
| 2001 | IJCAI | Reviving Partial Order Planning. | XuanLong Nguyen, Subbarao Kambhampati |
| 2000 | AAAI | Extracting Effective and Admissible State Space Heuristics from the Planning Graph. | XuanLong Nguyen, Subbarao Kambhampati |