Empirical Likelihood for Contextual Bandits

NeurIPS, 2020.

Cited by: 0|Views4


We apply empirical likelihood techniques to contextual bandit policy value estimation, confidence intervals, and learning. We propose a tighter estimator for off-policy evaluation with improved statistical performance over previous proposals. Coupled with this estimator is a confidence interval which also improves over previous proposals....More



Get fulltext within 24h
Upload PDF

1.Your uploaded documents will be check within 24h, and coins will be credited to your account.

2.As the current system does not support cash withdrawal, you can add staff WeChat (AMxiaomai) to receive it as a red packet.

3.10 coins will be exchanged for 1 yuan.


Upload a single paper

for 5 coins

Wechat's Red Packet

Upload 50 articles

for 250 coins

Wechat's Red Packet

Upload 200 articles

for 1000 coins

Wechat's Red Packet

Upload 500 articles

for 2500 coins

Wechat's Red Packet

Upload 1000 articles

for 5000 coins

Wechat's Red Packet
Your rating :