Xi Liu

40 papers A* 9A 2B 2Misc 1Journal 19Unranked 7
YearRankTypeTitle / Venue / Authors
2025 J jnl
Enhancing Offline Model-Based RL via Active Model Selection: A Bayesian Optimization Perspective.
CoRR
Yu-Wei Yang, Yun-Ming Chan, Wei Hung, Xi Liu, Ping-Chun Hsieh
2023 A conf
Coordinate Ascent for Off-Policy RL with Global Convergence Guarantees.
AISTATS
Hsin-En Su, Yen-Ju Chen, Ping-Chun Hsieh, Xi Liu
2023 A* conf
Q-Pensieve: Boosting Sample Efficiency of Multi-Objective RL Through Memory Sharing of Q-Snapshots.
ICLR
Wei Hung, Bo-Kai Huang, Ping-Chun Hsieh, Xi Liu
2022 J jnl
Coordinate Ascent for Off-Policy RL with Global Convergence Guarantees.
CoRR
Hsin-En Su, Yen-Ju Chen, Ping-Chun Hsieh, Xi Liu
2022 A* conf
Learning from Few Samples: Transformation-Invariant SVMs with Composition and Locality at Multiple Scales.
NeurIPS
Tao Liu, P. R. Kumar, Ruida Zhou, Xi Liu
2022 J jnl
Q-Pensieve: Boosting Sample Efficiency of Multi-Objective RL Through Memory Sharing of Q-Snapshots.
CoRR
Wei Hung, Bo-Kai Huang, Ping-Chun Hsieh, Xi Liu
2021 J jnl
Escaping from Zero Gradient: Revisiting Action-Constrained Reinforcement Learning via Frank-Wolfe Policy Optimization.
CoRR
Jyun-Li Lin, Wei Hung, Shang-Hsuan Yang, Ping-Chun Hsieh, Xi Liu
2021 A conf
Escaping from zero gradient: Revisiting action-constrained reinforcement learning via Frank-Wolfe policy optimization.
UAI
Jyun-Li Lin, Wei Hung, Shang-Hsuan Yang, Ping-Chun Hsieh, Xi Liu
2021 J jnl
Learning from Small Samples: Transformation-Invariant SVMs with Composition and Locality at Multiple Scales.
CoRR
Tao Liu, P. R. Kumar, Xi Liu
2021 A* conf
Reinforced Few-Shot Acquisition Function Learning for Bayesian Optimization.
NeurIPS
Bing-Jing Hsieh, Ping-Chun Hsieh, Xi Liu
2021 J jnl
Reinforced Few-Shot Acquisition Function Learning for Bayesian Optimization.
CoRR
Bing-Jing Hsieh, Ping-Chun Hsieh, Xi Liu
2021 — conf
Reward Biased Maximum Likelihood Estimation for Reinforcement Learning.
L4DC
Akshay Mete, Rahul Singh, Xi Liu, P. R. Kumar
2021 A* conf
Reward-Biased Maximum Likelihood Estimation for Linear Stochastic Bandits.
AAAI
Yu-Heng Hung, Ping-Chun Hsieh, Xi Liu, P. R. Kumar
2020 A* conf
Context-aware Deep Representation Learning for Geo-spatiotemporal Analysis.
ICDM
Hanzi Mao, Xi Liu, Nick Duffield, Hao Yuan, Shuiwang Ji, Binayak P. Mohanty
2020 J jnl
Developing Multi-Task Recommendations with Long-Term Rewards via Policy Distilled Reinforcement Learning.
CoRR
Xi Liu, Li Li, Ping-Chun Hsieh, Muhe Xie, Yong Ge, Rui Chen
2020 A* conf
Exploration Through Reward Biasing: Reward-Biased Maximum Likelihood Estimation for Stochastic Multi-Armed Bandits.
ICML
Xi Liu, Ping-Chun Hsieh, Yu-Heng Hung, Anirban Bhattacharya, P. R. Kumar
2020 B conf
Fresher content or smoother playback?: a brownian-approximation framework for scheduling real-time wireless video streams.
MobiHoc
Ping-Chun Hsieh, Xi Liu, I-Hong Hou
2020 J jnl
Micro- and macro-level churn analysis of large-scale mobile games.
Knowl. Inf. Syst.
Xi Liu, Muhe Xie, Xidao Wen, Rui Chen, Yong Ge, Nick Duffield, Na Wang
2020 J jnl
Reward-Biased Maximum Likelihood Estimation for Linear Stochastic Bandits.
CoRR
Yu-Heng Hung, Ping-Chun Hsieh, Xi Liu, P. R. Kumar
2019 — conf
A Dynamic Neural Network Model for Click-Through Rate Prediction in Real-Time Bidding.
IEEE BigData
Xianshan Qu, Li Li, Xi Liu, Rui Chen, Yong Ge, Soo-Hyun Choi
2019 J jnl
Bandit Learning Through Biased Maximum Likelihood Estimation.
CoRR
Xi Liu, Ping-Chun Hsieh, Anirban Bhattacharya, P. R. Kumar
2019 — conf
FacIt: Factorizing Tensors into Interpretable and Scrutinizable Patterns.
IEEE VIS (Short Papers)
Xidao Wen, Konstantinos Pelechrinis, Yu-Ru Lin, Xi Liu, Yongsu Ahn, Nan Cao
2019 J jnl
Fresher Content or Smoother Playback? A Brownian-Approximation Framework for Real-Time Video Delivery in Wireless Networks.
CoRR
Ping-Chun Hsieh, Xi Liu, I-Hong Hou
2019 A* conf
Iterative Discriminant Tensor Factorization for Behavior Comparison in Massive Open Online Courses.
WWW
Xidao Wen, Yu-Ru Lin, Xi Liu, Peter Brusilovsky, Jordan Barria-Pineda
2019 J jnl
Micro- and Macro-Level Churn Analysis of Large-Scale Mobile Games.
CoRR
Xi Liu, Muhe Xie, Xidao Wen, Rui Chen, Yong Ge, Nick Duffield, Na Wang
2019 — conf
Piecewise Stationary Modeling of Random Processes Over Graphs With an Application to Traffic Prediction.
IEEE BigData
Arman Hasanzadeh, Xi Liu, Nick Duffield, Krishna R. Narayanan
2019 — conf
Real-Time Streaming Graph Embedding Through Local Actions.
WWW (Companion Volume)
Xi Liu, Ping-Chun Hsieh, Nick Duffield, Rui Chen, Muhe Xie, Xidao Wen
2019 A* conf
Stay With Me: Lifetime Maximization Through Heteroscedastic Linear Bandits With Reneging.
ICML
Ping-Chun Hsieh, Xi Liu, Anirban Bhattacharya, P. R. Kumar
2018 A* conf
A Semi-Supervised and Inductive Embedding Model for Churn Prediction of Large-Scale Mobile Games.
ICDM
Xi Liu, Muhe Xie, Xidao Wen, Rui Chen, Yong Ge, Nick Duffield, Na Wang
2018 J jnl
A Semi-Supervised and Inductive Embedding Model for Churn Prediction of Large-Scale Mobile Games.
CoRR
Xi Liu, Muhe Xie, Xidao Wen, Rui Chen, Yong Ge, Nick Duffield, Na Wang
2018 J jnl
Heteroscedastic Bandits with Reneging.
CoRR
Ping-Chun Hsieh, Xi Liu, Anirban Bhattacharya, P. R. Kumar
2018 — conf
Safe Intersection Management for Mixed Transportation Systems with Human-Driven and Autonomous Vehicles.
Allerton
Xi Liu, Ping-Chun Hsieh, P. R. Kumar
2018 J jnl
Safe Intersection Management for Mixed Transportation Systems with Human-Driven and Autonomous Vehicles.
CoRR
Xi Liu, Ping-Chun Hsieh, P. R. Kumar
2018 J jnl
Streaming Network Embedding through Local Actions.
CoRR
Xi Liu, Ping-Chun Hsieh, Nick Duffield, Rui Chen, Muhe Xie, Xidao Wen
2018 J jnl
Towards Provably Safe Mixed Transportation Systems with Human-driven and Automated Vehicles.
CoRR
Xi Liu, Ke Ma, P. R. Kumar
2017 J jnl
Delay-Optimal Scheduling for Queueing Systems with Switching Overhead.
CoRR
Ping-Chun Hsieh, I-Hong Hou, Xi Liu
2017 B conf
Throughput-Optimal Scheduling for Multi-Hop Networked Transportation Systems With Switch-Over Delay.
MobiHoc
Ping-Chun Hsieh, Xi Liu, Jian Jiao, I-Hong Hou, Yunlong Zhang, P. R. Kumar
2017 J jnl
Throughput-Optimal Scheduling for Multi-Hop Networked Transportation Systems With Switch-Over Delay.
CoRR
Ping-Chun Hsieh, Xi Liu, Jian Jiao, I-Hong Hou, Yunlong Zhang, P. R. Kumar
2016 Misc conf
Towards safety of transportation systems with a mixture of automated and human-driven vehicles.
COMSNETS
Xi Liu, P. R. Kumar
2015 — conf
Towards provably safe mixed transportation systems with human-driven and automated vehicles.
CDC
Xi Liu, Ke Ma, P. R. Kumar