Second-order methods for L1 regularized problems in machine learning. - Samantha Hansen; Jorge Nocedal (ICASSP, 2012)

Newton-Based Optimization for Nonnegative Tensor Factorizations - Samantha Hansen; Todd D. Plantenga; Tamara G. Kolda (CoRR, 2013)

Newton-based optimization for Kullback-Leibler nonnegative tensor factorizations. - Samantha Hansen; Todd D. Plantenga; Tamara G. Kolda (Optim. Methods Softw., 2015)

Using Deep Q-Learning to Control Optimization Hyperparameters. - Samantha Hansen (CoRR, 2016)

Explore, exploit, and explain: personalizing explainable recommendations with bandits. - James McInerney; Benjamin Lacker; Samantha Hansen; Karl Higley; Hugues Bouchard; Alois Gruson; Rishabh Mehrotra (RecSys, 2018)

Large-scale user modeling with recurrent neural networks for music discovery on multiple time scales. - Cedric De Boom; Rohan Agrawal; Samantha Hansen; Esh Kumar; Romain Yon; Ching-Wei Chen; Thomas Demeester; Bart Dhoedt (Multim. Tools Appl., 2018)

Offline Evaluation to Make Decisions About PlaylistRecommendation Algorithms. - Alois Gruson; Praveen Chandar; Christophe Charbuillet; James McInerney; Samantha Hansen; Damien Tardieu; Ben Carterette (WSDM, 2019)