Guaranteed Scalable Learning of Latent Tree Models
The Conference on Uncertainty in Articial Intelligence (UAI), 2019
F. Huang, N. UN, I. Perros, R. Chen, J. Sun, A. Anandkumar
F. Huang, N. UN, I. Perros, R. Chen, J. Sun, A. Anandkumar
Efficiently Improving the Robustness of RL Agents against Strongest Adversaries
In Workshop on Safe and Robust Control of Uncertain Systems (SafeRL), Oral, NeurIPS 2021, 2021
Yongyuan Liang and Yanchao Sun and Ruijie Zheng and Furong Huang
Yongyuan Liang and Yanchao Sun and Ruijie Zheng and Furong Huang
A Closer Look at Distribution Shifts and Out-of-Distribution Generalization on Graphs
In Workshop on Distribution Shifts: Connecting Methods and Applications (DistShift), Spotlight, NeurIPS 2021, 2021
Mucong Ding and Kezhi Kong and Jiuhai Chen and John Kirchenbauer and Micah Goldblum and David Wipf and Furong Huang and Tom Goldstein
Mucong Ding and Kezhi Kong and Jiuhai Chen and John Kirchenbauer and Micah Goldblum and David Wipf and Furong Huang and Tom Goldstein
Comfetch: Federated Learning of Large Networks on Memory-Constrained Clients via Sketching
In Workshop on Trustable, Verifiable and Auditable Federated Learning, AAAI 2022, 2022
Tahseen Rabbani and Brandon Feng and Yifan Yang and Arjun Rajkumar and Amitabh Varshney and Furong Huang
Tahseen Rabbani and Brandon Feng and Yifan Yang and Arjun Rajkumar and Amitabh Varshney and Furong Huang
When Detection Tools Collide: On the Impact of Watermarking on AI-Generated Text Detectors
In 4th Workshop on Towards Knowledgeable Foundation Models (KnowFM), ACL 2026, 2026
Michael-Andrei Panaitescu-Liess and Yigitcan Kaya and Fiza Mulla and Anirudh Satheesh and Furong Huang
Michael-Andrei Panaitescu-Liess and Yigitcan Kaya and Fiza Mulla and Anirudh Satheesh and Furong Huang
Scalable Latent Tree Model and its Application to Health Analytics
Machine Learning in Healthcare NIPS Workshop 2015, arXiv:1406.4566 cs.LG, 2015
Huang, Furong and UN, Niranjan and Perros, Joachim and Chen, Robert and Sun, Jimeng and Anandkumar, Anima
Huang, Furong and UN, Niranjan and Perros, Joachim and Chen, Robert and Sun, Jimeng and Anandkumar, Anima
Unsupervised learning of transcriptional regulatory networks via latent tree graphical models
arXiv preprint arXiv:1609.06335, 2016
Gitter, Anthony and Huang, Furong and Valluvan, Ragupathyraj and Fraenkel, Ernest and Anandkumar, Animashree
Gitter, Anthony and Huang, Furong and Valluvan, Ragupathyraj and Fraenkel, Ernest and Anandkumar, Animashree
Learning deep resnet blocks sequentially using boosting theory
ICML 2018, arXiv preprint arXiv:1706.04964, 2018
Huang, Furong and Ash, Jordan and Langford, John and Schapire, Robert
Huang, Furong and Ash, Jordan and Langford, John and Schapire, Robert
Online tensor methods for learning latent variable models
Journal of Machine Learning Research, 16: 2797—2835, 2015
Huang, Furong and Niranjan, UN and Hakeem, Mohammad Umar and Anandkumar, Animashree
Huang, Furong and Niranjan, UN and Hakeem, Mohammad Umar and Anandkumar, Animashree
Fast detection of overlapping communities via online tensor methods/Online Tensor Methods for Learning Latent Variable Models
JMLR, 2014
Huang, Furong and Niranjan, UN and Hakeem, Mohammad Umar and Anandkumar, Animashree
Huang, Furong and Niranjan, UN and Hakeem, Mohammad Umar and Anandkumar, Animashree