3 citations · 6 across the 3 of their papers we have counts for
3 papers
cs.LG2023
Contextual Conservative Q-Learning for Offline Reinforcement Learning
Ke Jiang, Jiayu Yao, Xiaoyang Tan
Offline reinforcement learning learns an effective policy on offline datasets without online interaction, and it attracts persistent research attention due to its potential of prac…
cs.LG2016★ 3 cited
Combinatorial Topic Models using Small-Variance Asymptotics
Ke Jiang, Suvrit Sra, Brian Kulis
Topic models have emerged as fundamental tools in unsupervised machine learning. Most modern topic modeling algorithms take a probabilistic view and derive inference algorithms bas…
cs.CV2014★ 3 cited
Revisiting Kernelized Locality-Sensitive Hashing for Improved Large-Scale Image Retrieval
Ke Jiang, Qichao Que, Brian Kulis
We present a simple but powerful reinterpretation of kernelized locality-sensitive hashing (KLSH), a general and popular method developed in the vision community for performing app…