102 citations · 295 across the 17 of their papers we have counts for
6 papers · 1 filter
ML-EXray: Visibility into ML Deployment on the Edge
Hang Qiu, Ioanna Vavelidou, Jian Li +5
Benefiting from expanding cloud infrastructure, deep neural networks (DNNs) today have increasingly high performance when trained in the cloud. Researchers spend months of effort c…
Reinforcement Learning for Finite-Horizon Restless Multi-Armed Multi-Action Bandits
Guojun Xiong, Jian Li, Rahul Singh
We study a finite-horizon restless multi-armed bandit problem with multiple actions, dubbed R(MA)^2B. The state of each arm evolves according to a controlled Markov decision proces…
Unsupervised Open-Domain Question Answering
Pengfei Zhu, Xiaoguang Li, Jian Li +1
Open-domain Question Answering (ODQA) has achieved significant results in terms of supervised learning manner. However, data annotation cannot also be irresistible for its huge dem…
Multi-token Markov Game with Switching Costs
Jian Li, Daogao Liu
We study a general Markov game with metric switching costs: in each round, the player adaptively chooses one of several Markov chains to advance with the objective of minimizing th…
On the quantization of recurrent neural networks
Jian Li, Raziel Alvarez
Integer quantization of neural networks can be defined as the approximation of the high precision computation of the canonical neural network formulation, using reduced integer pre…
Learning Augmented Index Policy for Optimal Service Placement at the Network Edge
Guojun Xiong, Rahul Singh, Jian Li
We consider the problem of service placement at the network edge, in which a decision maker has to choose between services to host at the edge to satisfy the demands of custome…