Trevor D. Ruiz

According to our database, Trevor D. Ruiz authored at least 3 papers between 2018 and 2020.

Collaborative distances:

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

2020

Sparse and Low-bias Estimation of High Dimensional Vector Autoregressive Models.

Trevor D. Ruiz, Sharmodeep Bhattacharyya, Mahesh Balasubramanian, Kristofer E. Bouchard

Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020

Scaling of Union of Intersections for Inference of Granger Causal Networks from Observational Data.

Mahesh Balasubramanian, Trevor D. Ruiz, Brandon Cook, Prabhat, Sharmodeep Bhattacharyya, Aviral Shrivastava, Kristofer E. Bouchard

Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2020

2018

Optimizing the Union of Intersections LASSO (UoI_LASSO) and Vector Autoregressive (UoI_VAR) Algorithms for Improved Statistical Estimation at Scale.

Mahesh Balasubramanian, Trevor D. Ruiz, Brandon Cook, Sharmodeep Bhattacharyya, Prabhat, Aviral Shrivastava, Kristofer E. Bouchard

CoRR, 2018