activity
20192021
most citedPENet: Object Detection using Points Estimation in Aerial Images

15 citations · 23 across the 4 of their papers we have counts for

collaborators

5 papers

cs.LG20211 cited

Non-asymptotic Confidence Intervals of Off-policy Evaluation: Primal and Dual Bounds

Yihao Feng, Ziyang Tang, Na Zhang +1

Off-policy evaluation (OPE) is the task of estimating the expected reward of a given policy based on offline data previously collected under different policies. Therefore, OPE is a…

cs.LG2020

Off-Policy Interval Estimation with Lipschitz Value Iteration

Ziyang Tang, Yihao Feng, Na Zhang +2

Off-policy evaluation provides an essential tool for evaluating the effects of different policies or treatments using only observed data. When applied to high-stakes scenarios such…

cs.LG20207 cited

Accountable Off-Policy Evaluation With Kernel Bellman Statistics

Yihao Feng, Tongzheng Ren, Ziyang Tang +1

We consider off-policy evaluation (OPE), which evaluates the performance of a new policy from observed data collected from previous experiments, without requiring the execution of…

cs.CV202015 cited

PENet: Object Detection using Points Estimation in Aerial Images

Ziyang Tang, Xiang Liu, Guangyu Shen +1

Aerial imagery has been increasingly adopted in mission-critical tasks, such as traffic surveillance, smart cities, and disaster assistance. However, identifying objects from aeria…

cs.LG2019

Multiple Learning for Regression in big data

Xiang Liu, Ziyang Tang, Huyunting Huang +2

Regression problems that have closed-form solutions are well understood and can be easily implemented when the dataset is small enough to be all loaded into the RAM. Challenges ari…