1 citations · 1 across the 9 of their papers we have counts for
4 papers · 1 filter
Auto-bidding in real-time auctions via Oracle Imitation Learning (OIL)
Alberto Silvio Chiappa, Briti Gangopadhyay, Zhao Wang +1
Online advertising has become one of the most successful business models of the internet era. Impression opportunities are typically allocated through real-time auctions, where adv…
OKG: On-the-Fly Keyword Generation in Sponsored Search Advertising
Zhao Wang, Briti Gangopadhyay, Mengjie Zhao +1
Current keyword decision-making in sponsored search advertising relies on large, static datasets, limiting the ability to automatically set up keywords and adapt to real-time KPI m…
Augmenting Offline RL with Unlabeled Data
Zhao Wang, Briti Gangopadhyay, Jia-Fong Yeh +1
Recent advancements in offline Reinforcement Learning (Offline RL) have led to an increased focus on methods based on conservative policy updates to address the Out-of-Distribution…
Integrating Domain Knowledge for handling Limited Data in Offline RL
Briti Gangopadhyay, Zhao Wang, Jia-Fong Yeh +1
With the ability to learn from static datasets, Offline Reinforcement Learning (RL) emerges as a compelling avenue for real-world applications. However, state-of-the-art offline RL…