Shijian Li | DeepAI

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Featured Co-authors

Wei Wang
492 publications
Li Zhang
240 publications
Longbing Cao
46 publications
Zhao Li
36 publications
Tian Guo
35 publications
Gang Pan
35 publications
Pablo Samuel Castro
27 publications
Hongyang Chen
20 publications
Oren Mangoubi
17 publications
Yuxuan Chen
17 publications
Long Yang
16 publications

∙ 06/15/2021

Thompson Sampling for Unimodal Bandits

In this paper, we propose a Thompson Sampling algorithm for unimodal ban...

0 Long Yang, et al. ∙

∙ 04/22/2021

Optimize Neural Fictitious Self-Play in Regret Minimization Thinking

Optimization of deep learning algorithms to approach Nash Equilibrium re...

5 Yuxuan Chen, et al. ∙

∙ 04/16/2021

Sync-Switch: Hybrid Parameter Synchronization for Distributed Deep Learning

Stochastic Gradient Descent (SGD) has become the de facto way to train d...

17 Shijian Li, et al. ∙

∙ 04/07/2020

Characterizing and Modeling Distributed Training with Transient Cloud GPU Servers

Cloud GPU servers have become the de facto way for deep learning practit...

0 Shijian Li, et al. ∙

∙ 12/05/2019

Perseus: Characterizing Performance and Cost of Multi-Tenant Serving for CNN Models

Deep learning models are increasingly used for end-user applications, su...

0 Matthew LeMay, et al. ∙

∙ 07/31/2019

Inverse Reinforcement Learning with Multiple Ranked Experts

We consider the problem of learning to behave optimally in a Markov Deci...

5 Pablo Samuel Castro, et al. ∙

∙ 07/01/2019

FiDi-RL: Incorporating Deep Reinforcement Learning with Finite-Difference Policy Search for Efficient Learning of Continuous Control

In recent years significant progress has been made in dealing with chall...

5 Longxiang Shi, et al. ∙

∙ 05/17/2019

TBQ(σ): Improving Efficiency of Trace Utilization for Off-Policy Reinforcement Learning

Off-policy reinforcement learning with eligibility traces is challenging...

0 Longxiang Shi, et al. ∙

∙ 03/22/2019

Monte Carlo Neural Fictitious Self-Play: Achieve Approximate Nash equilibrium of Imperfect-Information Games

Researchers on artificial intelligence have achieved human-level intelli...

24 Li Zhang, et al. ∙

∙ 03/22/2019

Monte Carlo Neural Fictitious Self-Play: Approach to Approximate Nash equilibrium of Imperfect-Information Games

Researchers on artificial intelligence have achieved human-level intelli...

0 Li Zhang, et al. ∙

∙ 02/28/2019

Speeding up Deep Learning with Transient Servers

Distributed training frameworks, like TensorFlow, have been proposed as ...

0 Shijian Li, et al. ∙

∙ 02/25/2019

Field-aware Neural Factorization Machine for Click-Through Rate Prediction

Recommendation systems and computing advertisements have gradually enter...

8 Li Zhang, et al. ∙

∙ 02/21/2018

Algorithmic Collusion in Cournot Duopoly Market: Evidence from Experimental Economics

Algorithmic collusion is an emerging concept in current artificial intel...

0 Nan Zhou, et al. ∙

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