Matthew Staib

According to our database, Matthew Staib authored at least 7 papers between 2016 and 2020.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2020

Inorganic Materials Synthesis Planning with Literature-Trained Neural Networks.

Edward Kim, Zach Jensen, Alexander van Grootel, Kevin Huang, Matthew Staib, Sheshera Mysore, Haw-Shiuan Chang, Emma Strubell, Andrew McCallum, Stefanie Jegelka, Elsa Olivetti

J. Chem. Inf. Model., 2020

2019

Distributionally Robust Optimization and Generalization in Kernel Methods.

Matthew Staib, Stefanie Jegelka

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Escaping Saddle Points with Adaptive Gradient Methods.

Matthew Staib, Sashank J. Reddi, Satyen Kale, Sanjiv Kumar, Suvrit Sra

Proceedings of the 36th International Conference on Machine Learning, 2019

Distributionally Robust Submodular Maximization.

Matthew Staib, Bryan Wilder, Stefanie Jegelka

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2017

Parallel Streaming Wasserstein Barycenters.

Matthew Staib, Sebastian Claici, Justin Solomon, Stefanie Jegelka

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Robust Budget Allocation via Continuous Submodular Functions.

Matthew Staib, Stefanie Jegelka

Proceedings of the 34th International Conference on Machine Learning, 2017

2016

Improving Survey Aggregation with Sparsely Represented Signals.

Tianlin Shi, Forest Agostinelli, Matthew Staib, David P. Wipf, Thomas Moscibroda

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016