Yu, Christina Lee
- Adaptive Discretization for Model-Based Reinforcement Learning
2020/07/01 by Sinclair, Sean R., Wang, Tianyu, Jain, Gauri +2 · 1 citation
#68Q32 #FOS: Computer and information sciences #I.2.6 #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Low-order outcomes and clustered designs: combining design and analysis for causal inference under network interference
2024/05/13 by Matthew Eichhorn, Samir Khan, Eichhorn, Matthew +5 · 2 citations
Computer Science · #Distributed Sensor Networks and Detection Algorithms #FOS: Computer and information sciences #FOS: Mathematics #Methodology (stat.ME) #Statistics Theory (math.ST)
- Overcoming the Long Horizon Barrier for Sample-Efficient Reinforcement Learning with Latent Low-Rank Structure
2022/06/07 by Tyler Sam, Yudong Chen, Sam, Tyler +3 · 1 citation
Computer Science · #Reinforcement Learning in Robotics #Machine Learning and Algorithms #Stochastic Gradient Optimization Techniques
- Artificial Replay: A Meta-Algorithm for Harnessing Historical Data in Bandits
2022/09/30 by Siddhartha Banerjee, Sean R. Sinclair, Banerjee, Siddhartha +7 · 1 citation
Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Data Stream Mining Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Mobile Crowdsensing and Crowdsourcing
- Clustered Switchback Designs for Experimentation Under Spatio-temporal Interference
2023/12/25 by Jia, Su, Kallus, Nathan, Yu, Christina Lee · 1 citation
#FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Statistics Theory (math.ST)
- Reducing Crowdsourcing to Graphon Estimation, Statistically
2017/03/23 by Devavrat Shah, Shah, Devavrat, Christina Lee Yu +1 · 1 citation
Computer Science · #FOS: Computer and information sciences #Machine Learning (stat.ML) #Machine Learning and Algorithms #Mobile Crowdsensing and Crowdsourcing #Optimization and Search Problems