Edgar Dobriban
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
18
Venues
9
Active years
2020–2026
Best venue rank
A*
Where they publish
Papers
18 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | KDD | Efficiently Learning Branching Networks for Multitask Algorithmic Reasoning. | Dongyue Li, Zhenshuo Zhang, Minxuan Duan, Edgar Dobriban, Hongyang R. Zhang |
| 2025 | NAACL | Evaluating the Performance of Large Language Models via Debates. | Behrad Moniri, Hamed Hassani, Edgar Dobriban |
| 2024 | EMNLP | Uncertainty in Language Models: Assessment through Rank-Calibration. | Xinmeng Huang, Shuo Li, Mengxin Yu, Matteo Sesia, Hamed Hassani, Insup Lee, Osbert Bastani, Edgar Dobriban |
| 2024 | ICLR | PAC Prediction Sets Under Label Shift. | Wenwen Si, Sangdon Park, Insup Lee, Edgar Dobriban, Osbert Bastani |
| 2024 | ICML | A Theory of Non-Linear Feature Learning with One Gradient Step in Two-Layer Neural Networks. | Behrad Moniri, Donghwan Lee, Hamed Hassani, Edgar Dobriban |
| 2023 | ICLR | SE(3)-Equivariant Attention Networks for Shape Reconstruction in Function Space. | Evangelos Chatzipantazis, Stefanos Pertigkiozoglou, Edgar Dobriban, Kostas Daniilidis |
| 2023 | ICML | Demystifying Disagreement-on-the-Line in High Dimensions. | Donghwan Lee, Behrad Moniri, Xinmeng Huang, Edgar Dobriban, Hamed Hassani |
| 2023 | Interspeech | Automatically Predicting Perceived Conversation Quality in a Pediatric Sample Enriched for Autism. | Yahan Yang, Sunghye Cho, Maxine Covello, Azia Knox, Osbert Bastani, James Weimer, Edgar Dobriban, Robert T. Schultz, Insup Lee, Julia Parish-Morris |
| 2022 | AAAI | iDECODe: In-Distribution Equivariance for Conformal Out-of-Distribution Detection. | Ramneet Kaur, Susmit Jha, Anirban Roy, Sangdon Park, Edgar Dobriban, Oleg Sokolsky, Insup Lee |
| 2022 | CoRL | Exploring with Sticky Mittens: Reinforcement Learning with Expert Interventions via Option Templates. | Souradeep Dutta, Kaustubh Sridhar, Osbert Bastani, Edgar Dobriban, James Weimer, Insup Lee, Julia Parish-Morris |
| 2022 | ICLR | PAC Prediction Sets Under Covariate Shift. | Sangdon Park, Edgar Dobriban, Insup Lee, Osbert Bastani |
| 2022 | ICML | Unified Fourier-based Kernel and Nonlinearity Design for Equivariant Networks on Homogeneous Spaces. | Yinshuang Xu, Jiahui Lei, Edgar Dobriban, Kostas Daniilidis |
| 2022 | KDD | PAC-Wrap: Semi-Supervised PAC Anomaly Detection. | Shuo Li, Xiayan Ji, Edgar Dobriban, Oleg Sokolsky, Insup Lee |
| 2021 | COLT | Sparse sketches with small inversion bias. | Michal Derezinski, Zhenyu Liao, Edgar Dobriban, Michael W. Mahoney |
| 2020 | ICLR | Ridge Regression: Structure, Cross-Validation, and Sketching. | Sifan Liu, Edgar Dobriban |
| 2020 | ICML | The Implicit Regularization of Stochastic Gradient Flow for Least Squares. | Alnur Ali, Edgar Dobriban, Ryan J. Tibshirani |
| 2020 | ICML | One-shot Distributed Ridge Regression in High Dimensions. | Yue Sheng, Edgar Dobriban |
| 2020 | ICML | DeltaGrad: Rapid retraining of machine learning models. | Yinjun Wu, Edgar Dobriban, Susan B. Davidson |