357 citations · 681 across the 28 of their papers we have counts for
4 papers · 1 filter
Uncertainty in Extreme Multi-label Classification
Jyun-Yu Jiang, Wei-Cheng Chang, Jiong Zhong +2
Uncertainty quantification is one of the most crucial tasks to obtain trustworthy and reliable machine learning models for decision making. However, most research in this domain ha…
ELIAS: End-to-End Learning to Index and Search in Large Output Spaces
Nilesh Gupta, Patrick H. Chen, Hsiang-Fu Yu +2
Extreme multi-label classification (XMC) is a popular framework for solving many real-world problems that require accurate prediction from a very large number of potential output c…
FINGER: Fast Inference for Graph-based Approximate Nearest Neighbor Search
Patrick H. Chen, Chang Wei-cheng, Yu Hsiang-fu +2
Approximate K-Nearest Neighbor Search (AKNNS) has now become ubiquitous in modern applications, for example, as a fast search procedure with two tower deep learning models. Graph-b…
Accelerating Primal-dual Methods for Regularized Markov Decision Processes
Haoya Li, Hsiang-fu Yu, Lexing Ying +1
Entropy regularized Markov decision processes have been widely used in reinforcement learning. This paper is concerned with the primal-dual formulation of the entropy regularized p…