1 citations · 1 across the 7 of their papers we have counts for
9 papers
Forecasting Clicks in Digital Advertising: Multimodal Inputs and Interpretable Outputs
Briti Gangopadhyay, Zhao Wang, Shingo Takamatsu
Forecasting click volume is a key task in digital advertising, influencing both revenue and campaign strategy. Traditional time series models rely solely on numerical data, often o…
Talk Structurally, Act Hierarchically: A Collaborative Framework for LLM Multi-Agent Systems
Zhao Wang, Sota Moriyama, Wei-Yao Wang +2
Recent advancements in LLM-based multi-agent (LLM-MA) systems have shown promise, yet significant challenges remain in managing communication and refinement when agents collaborate…
Adaptive Budget Optimization for Multichannel Advertising Using Combinatorial Bandits
Briti Gangopadhyay, Zhao Wang, Alberto Silvio Chiappa +1
Effective budget allocation is crucial for optimizing the performance of digital advertising campaigns. However, the development of practical budget allocation algorithms remain li…
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…