Daniel Jiang

The Power of Batching in Multiple Hypothesis Testing

Michael I. Jordan, Tijana Zrnic, Aaditya Ramdas, 2019, AISTATS.

On Noisy Evaluation in Federated Hyperparameter Tuning

Ameet S. Talwalkar, Daniel Jiang, Virginia Smith, 2022, arXiv.org.

Extreme Multi-label Learning for Semantic Matching in Product Search

Inderjit S. Dhillon, Kai Zhong, Hsiang-Fu Yu, 2021, KDD.

Multi-Armed Bandits and Reinforcement Learning: Advancing Decision Making in E-Commerce and Beyond

Daniel Jiang, Haipeng Luo, Yingfei Wang, 2021, KDD.

Enabling Efficiency-Precision Trade-offs for Label Trees in Extreme Classification

Tavor Z. Baharav, Daniel Jiang, I. Dhillon, 2021, CIKM.

On Noisy Evaluation in Federated Hyperparameter Tuning

Daniel Jiang, Virginia Smith, Pratiksha Thaker, 2022, ArXiv.