Improving Survey Aggregation with Sparsely Represented Signals. - Tianlin Shi; Forest Agostinelli; Matthew Staib; David P. Wipf; Thomas Moscibroda (KDD, 2016)

Robust Budget Allocation via Continuous Submodular Functions. - Matthew Staib; Stefanie Jegelka (ICML, 2017)

Parallel Streaming Wasserstein Barycenters. - Matthew Staib; Sebastian Claici; Justin Solomon 001; Stefanie Jegelka (NIPS, 2017)

Distributionally Robust Submodular Maximization. - Matthew Staib; Bryan Wilder; Stefanie Jegelka (AISTATS, 2019)

Escaping Saddle Points with Adaptive Gradient Methods. - Matthew Staib; Sashank J. Reddi; Satyen Kale; Sanjiv Kumar; Suvrit Sra (ICML, 2019)

Distributionally Robust Optimization and Generalization in Kernel Methods. - Matthew Staib; Stefanie Jegelka (NeurIPS, 2019)

Inorganic Materials Synthesis Planning with Literature-Trained Neural Networks. - Edward Kim 004; Zach Jensen; Alexander van Grootel; Kevin Huang 004; Matthew Staib; Sheshera Mysore; Haw-Shiuan Chang; Emma Strubell; Andrew McCallum; Stefanie Jegelka; Elsa A. Olivetti (J. Chem. Inf. Model., 2020)