id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
cana-6177	Saurabh Mittal	iROAS-Based Dynamic Bidding Strategy Using Multi-Armed Bandits in Retail Media Networks	2025	14	.pdf	application/pdf	5633	289	41	Techniques such as bootstrapped Thompson Sampling or Bayesian UCB with uncertainty penalization allow the bandit to act conservatively in the face of noisy data, gradually increasing exploration once confidence in iROAS values improves [5, 6,18]. This is where new developments in the stream processing systems and real-time causal inference algorithms have brought significant latency improvement among ad impressions and iROAS feedback to be integrated into the quick response system(s), such as MABs [8-10].	cache/cana-6177.pdf	txt/cana-6177.txt