Xi Liu

Affiliations:
  • Texas A&M University, Department of Electrical and Computer Engineering, College Station, TX, USA


According to our database1, Xi Liu authored at least 29 papers between 2015 and 2023.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Q-Pensieve: Boosting Sample Efficiency of Multi-Objective RL Through Memory Sharing of Q-Snapshots.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Coordinate Ascent for Off-Policy RL with Global Convergence Guarantees.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022
Learning from Few Samples: Transformation-Invariant SVMs with Composition and Locality at Multiple Scales.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
Learning from Small Samples: Transformation-Invariant SVMs with Composition and Locality at Multiple Scales.
CoRR, 2021

Escaping from zero gradient: Revisiting action-constrained reinforcement learning via Frank-Wolfe policy optimization.
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Reinforced Few-Shot Acquisition Function Learning for Bayesian Optimization.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Reward Biased Maximum Likelihood Estimation for Reinforcement Learning.
Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021

Reward-Biased Maximum Likelihood Estimation for Linear Stochastic Bandits.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Micro- and macro-level churn analysis of large-scale mobile games.
Knowl. Inf. Syst., 2020

Developing Multi-Task Recommendations with Long-Term Rewards via Policy Distilled Reinforcement Learning.
CoRR, 2020

Fresher content or smoother playback?: a brownian-approximation framework for scheduling real-time wireless video streams.
Proceedings of the Mobihoc '20: The Twenty-first ACM International Symposium on Theory, 2020

Exploration Through Reward Biasing: Reward-Biased Maximum Likelihood Estimation for Stochastic Multi-Armed Bandits.
Proceedings of the 37th International Conference on Machine Learning, 2020

Context-aware Deep Representation Learning for Geo-spatiotemporal Analysis.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

2019
Fresher Content or Smoother Playback? A Brownian-Approximation Framework for Real-Time Video Delivery in Wireless Networks.
CoRR, 2019

Bandit Learning Through Biased Maximum Likelihood Estimation.
CoRR, 2019

Iterative Discriminant Tensor Factorization for Behavior Comparison in Massive Open Online Courses.
Proceedings of the World Wide Web Conference, 2019

Real-Time Streaming Graph Embedding Through Local Actions.
Proceedings of the Companion of The 2019 World Wide Web Conference, 2019

FacIt: Factorizing Tensors into Interpretable and Scrutinizable Patterns.
Proceedings of the 30th IEEE Visualization Conference, 2019

Stay With Me: Lifetime Maximization Through Heteroscedastic Linear Bandits With Reneging.
Proceedings of the 36th International Conference on Machine Learning, 2019

A Dynamic Neural Network Model for Click-Through Rate Prediction in Real-Time Bidding.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Piecewise Stationary Modeling of Random Processes Over Graphs With an Application to Traffic Prediction.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018
Streaming Network Embedding through Local Actions.
CoRR, 2018

Heteroscedastic Bandits with Reneging.
CoRR, 2018

A Semi-Supervised and Inductive Embedding Model for Churn Prediction of Large-Scale Mobile Games.
Proceedings of the IEEE International Conference on Data Mining, 2018

Safe Intersection Management for Mixed Transportation Systems with Human-Driven and Autonomous Vehicles.
Proceedings of the 56th Annual Allerton Conference on Communication, 2018

2017
Delay-Optimal Scheduling for Queueing Systems with Switching Overhead.
CoRR, 2017

Throughput-Optimal Scheduling for Multi-Hop Networked Transportation Systems With Switch-Over Delay.
Proceedings of the 18th ACM International Symposium on Mobile Ad Hoc Networking and Computing, 2017

2016
Towards safety of transportation systems with a mixture of automated and human-driven vehicles.
Proceedings of the 8th International Conference on Communication Systems and Networks, 2016

2015
Towards provably safe mixed transportation systems with human-driven and automated vehicles.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015


  Loading...