Teng, Shang-Hua

11 publications

ALT 2025 Proper Learnability and the Role of Unlabeled Data Julian Asilis, Siddartha Devic, Shaddin Dughmi, Vatsal Sharan, Shang-Hua Teng

NeurIPS 2024 ALPINE: Unveiling the Planning Capability of Autoregressive Learning in Language Models Siwei Wang, Yifei Shen, Shi Feng, Haoran Sun, Shang-Hua Teng, Wei Chen

COLT 2024 Open Problem: Can Local Regularization Learn All Multiclass Problems? Julian Asilis, Siddartha Devic, Shaddin Dughmi, Vatsal Sharan, Shang-Hua Teng

COLT 2024 Regularization and Optimal Multiclass Learning Julian Asilis, Siddartha Devic, Shaddin Dughmi, Vatsal Sharan, Shang-Hua Teng

NeurIPS 2024 Transductive Learning Is Compact Julian Asilis, Siddartha Devic, Shaddin Dughmi, Vatsal Sharan, Shang-Hua Teng

AAAI 2021 Computational Analyses of the Electoral College: Campaigning Is Hard but Approximately Manageable Sina Dehghani, Hamed Saleh, Saeed Seddighin, Shang-Hua Teng

COLT 2015 Efficient Sampling for Gaussian Graphical Models via Spectral Sparsification Dehua Cheng, Yu Cheng, Yan Liu, Richard Peng, Shang-Hua Teng

JMLR 2012 Active Clustering of Biological Sequences Konstantin Voevodski, Maria-Florina Balcan, Heiko Röglin, Shang-Hua Teng, Yu Xia

CVPR 2012 Power SVM: Generalization with Exemplar Classification Uncertainty Weiyu Zhang, Stella X. Yu, Shang-Hua Teng

UAI 2010 Efficient Clustering with Limited Distance Information Konstantin Voevodski, Maria-Florina Balcan, Heiko Röglin, Shang-Hua Teng, Yu Xia

ALT 2009 Agnostic Clustering Maria-Florina Balcan, Heiko Röglin, Shang-Hua Teng