Automatic ad format selection via contextual bandits

By Liang Tang, Rómer Rosales, Ajit Singh, Deepak K. Agarwal. 2013

142 citations recorded by the source corpus.

Subfields: Management Science and Operations Research, Marketing

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Citations in the corpus

Counterfactual Estimation and Optimization of Click Metrics for Search Engines (2014, background): “by changing the policy (more often called\intervention"in the statistics literature). Such counterfactual methods have shown promise in a few important Web applications recently like advertising [5, 7, 19, 20, 30], content recommendation [22]. In this work, we formulate the problem in the conte”
Breaking the Curse of Horizon: Infinite-Horizon Off-Policy Estimation (2018, background): “This problem is of great practical importance in many application domains where deploying a new policy can be costly or risky, such as medical treatments [26], econometrics [13], recommender systems [19], education [23], Web search [18], advertising and marketing [4, 5, 38, 40].”
Towards Optimal Off-Policy Evaluation for Reinforcement Learning with Marginalized Importance Sampling (2019, background): “In many settings where RL algorithms have already been deployed, e.g., targeted advertising and marketing [Bottou et al., 2013; Tang et al., 2013; Chapelle et al., 2015; Theocharous et al., 2015; Thomas et al., 2017] or medical treatments [Murphy et al., 2001; Ernst et al., 2006; Raghu et al.,…”
Toward Predicting the Outcome of an A/B Experiment for Search Relevance (2015, methodology): “, [3, 7, 17, 21, 27]), using statistical tools from causal inference.”
An Information-Theoretic Analysis of Thompson Sampling (2014, methodology): “(2)Microsoft [16], Google analytics [27] and Linkedin [29] have used Thompson sampling.”
Convex Optimization: Algorithms and Complexity (2015, unknown): “…Observe outcome Yt and update Ppost 7: end for Recently, the TS algorithm has drawn considerable attention due to its state-of-the-art empirical performance [Scott, 2010, Chapelle and Li, 2011], which also led to its use in several industrial applications [Graepel et al., 2010, Tang et al., 2013].”
Counterfactual Estimation and Optimization of Click Metrics in Search Engines: A Case Study (2015, methodology): “Such counterfactual methods have shown promise in a few important Web applications recently [4, 5, 17, 18, 21, 29, 30, 25].”
Online Evaluation for Information Retrieval (2016, unknown): “, 2012], and advertising [Tang et al., 2013].”
Personalized Recommendation via Parameter-Free Contextual Bandits (2015, background): “This conclusion is also mentioned in the empirical studies of [5, 31].”