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Found 6 papers, 0 papers with code
A Graphical Point Process Framework for Understanding Removal Effects in Multi-Touch Attribution
Marketers employ various online advertising channels to reach customers, and they are particularly interested in attribution for measuring the degree to which individual touchpoints contribute to an eventual conversion.
Causal Bandits with Unknown Graph Structure
In causal bandit problems, the action set consists of interventions on variables of a causal graph.
Causal Markov Decision Processes: Learning Good Interventions Efficiently
We introduce causal Markov Decision Processes (C-MDPs), a new formalism for sequential decision making which combines the standard MDP formulation with causal structures over state transition and reward functions.
Decision Making Problems with Funnel Structure: A Multi-Task Learning Approach with Application to Email Marketing Campaigns
We analyze both the prediction error and the regret of our algorithms.
Low-Rank Generalized Linear Bandit Problems
To get around the computational intractability of covering based approaches, we propose an efficient algorithm by extending the "Explore-Subspace-Then-Refine" algorithm of~\citet{jun2019bilinear}.
Regret Analysis of Bandit Problems with Causal Background Knowledge
For example, we observe that even with a few hundreds of iterations, the regret of causal algorithms is less than that of standard algorithms by a factor of three.
