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Found 8 papers, 1 papers with code
Maximizing Influence with Graph Neural Networks
Finding the seed set that maximizes the influence spread over a network is a well-known NP-hard problem.
Predicting conversions in display advertising based on URL embeddings
Online display advertising is growing rapidly in recent years thanks to the automation of the ad buying process.
Randomised Bayesian Least-Squares Policy Iteration
We introduce Bayesian least-squares policy iteration (BLSPI), an off-policy, model-free, policy iteration algorithm that uses the Bayesian least-squares temporal-difference (BLSTD) learning algorithm to evaluate policies.
Orthogonal Matching Pursuit for Text Classification
In text classification, the problem of overfitting arises due to the high dimensionality, making regularization essential.
Adaptive Submodular Influence Maximization with Myopic Feedback
This paper examines the problem of adaptive influence maximization in social networks.
Social and Information Networks
A Bayesian Ensemble Regression Framework on the Angry Birds Game
This has the advantage to establish an informative feature space and modify the task of game playing to a regression analysis problem.
Cover Tree Bayesian Reinforcement Learning
This paper proposes an online tree-based Bayesian approach for reinforcement learning.
ABC Reinforcement Learning
This paper introduces a simple, general framework for likelihood-free Bayesian reinforcement learning, through Approximate Bayesian Computation (ABC).
