On the Use of Stochastic Hessian Information in Optimization Methods for Machine Learning. - Richard H. Byrd; Gillian M. Chin; Will Neveitt; Jorge Nocedal (SIAM J. Optim., 2011)

Sample size selection in optimization methods for machine learning. - Richard H. Byrd; Gillian M. Chin; Jorge Nocedal; Yuchen Wu (Math. Program., 2012)

Second Order Methods for Optimizing Convex Matrix Functions and Sparse Covariance Clustering. - Gillian M. Chin; Jorge Nocedal; Peder A. Olsen; Steven J. Rennie (IEEE Trans. Speech Audio Process., 2013)

A family of second-order methods for convex ℓ1-regularized optimization. - Richard H. Byrd; Gillian M. Chin; Jorge Nocedal; Figen Öztoprak (Math. Program., 2016)