Bryon Aragam
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
13
Venues
4
Active years
2019–2025
Best venue rank
A*
Where they publish
Papers
13 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICML | Dimension-Independent Rates for Structured Neural Density Estimation. | Robert A. Vandermeulen, Wai Ming Tai, Bryon Aragam |
| 2024 | AISTATS | Inconsistency of Cross-Validation for Structure Learning in Gaussian Graphical Models. | Zhao Lyu, Wai Ming Tai, Mladen Kolar, Bryon Aragam |
| 2024 | AISTATS | Optimal estimation of Gaussian (poly)trees. | Yuhao Wang, Ming Gao, Wai Ming Tai, Bryon Aragam, Arnab Bhattacharyya |
| 2024 | ICML | On the Origins of Linear Representations in Large Language Models. | Yibo Jiang, Goutham Rajendran, Pradeep Kumar Ravikumar, Bryon Aragam, Victor Veitch |
| 2023 | COLT | Tight Bounds on the Hardness of Learning Simple Nonparametric Mixtures. | Wai Ming Tai, Bryon Aragam |
| 2023 | ICML | Optimizing NOTEARS Objectives via Topological Swaps. | Chang Deng, Kevin Bello, Bryon Aragam, Pradeep Kumar Ravikumar |
| 2023 | ICML | Learning Mixtures of Gaussians with Censored Data. | Wai Ming Tai, Bryon Aragam |
| 2022 | AISTATS | On perfectness in Gaussian graphical models. | Arash A. Amini, Bryon Aragam, Qing Zhou |
| 2022 | AISTATS | Optimal estimation of Gaussian DAG models. | Ming Gao, Wai Ming Tai, Bryon Aragam |
| 2020 | AISTATS | DYNOTEARS: Structure Learning from Time-Series Data. | Roxana Pamfil, Nisara Sriwattanaworachai, Shaan Desai, Philip Pilgerstorfer, Konstantinos Georgatzis, Paul Beaumont, Bryon Aragam |
| 2020 | AISTATS | Learning Sparse Nonparametric DAGs. | Xun Zheng, Chen Dan, Bryon Aragam, Pradeep Ravikumar, Eric P. Xing |
| 2020 | UAI | Automated Dependence Plots. | David I. Inouye, Liu Leqi, Joon Sik Kim, Bryon Aragam, Pradeep Ravikumar |
| 2019 | ICML | Fault Tolerance in Iterative-Convergent Machine Learning. | Aurick Qiao, Bryon Aragam, Bingjing Zhang, Eric P. Xing |