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06/28/2023
Increasing Performance And Sample Efficiency With Model-agnostic Interactive Feature Attributions
Model-agnostic feature attributions can provide local insights in comple...
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06/19/2023
Explaining the Model and Feature Dependencies by Decomposition of the Shapley Value
Shapley values have become one of the go-to methods to explain complex m...
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03/09/2018
Valuing knowledge, information and agency in Multi-agent Reinforcement Learning: a case study in smart buildings
Increasing energy efficiency in buildings can reduce costs and emissions...
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10/15/2014
Complexity Issues and Randomization Strategies in Frank-Wolfe Algorithms for Machine Learning
Frank-Wolfe algorithms for convex minimization have recently gained cons...
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04/14/2014
Hybrid Conditional Gradient - Smoothing Algorithms with Applications to Sparse and Low Rank Regularization
We study a hybrid conditional gradient - smoothing algorithm (HCGS) for ...
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03/04/2014