Garrett Bernstein

According to our database, Garrett Bernstein authored at least 16 papers between 2013 and 2025.

Collaborative distances:

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

2025

Dark Ecology Dataset: Measurements of Aerial Biomass in US Weather Radar: Time Series Data from 1995-2022.

Daniel Sheldon, Kevin Winner, Iman Deznabi, Garrett Bernstein, Pankaj Bhambani, Tsung-Yu Lin, Peter Desmet, Adriaan M. Dokter, Kyle G. Horton, Cecilia Nilsson, Benjamin Van Doren, Andrew Farnsworth, Frank A. La Sorte, Subhransu Maji

Dataset, October, 2025

Dark Ecology Dataset: Measurements of Aerial Biomass in US Weather Radar: Vertical Profiles from 2020-2022.

Daniel Sheldon, Kevin Winner, Iman Deznabi, Garrett Bernstein, Pankaj Bhambani, Tsung-Yu Lin, Peter Desmet, Adriaan M. Dokter, Kyle G. Horton, Cecilia Nilsson, Benjamin Van Doren, Andrew Farnsworth, Frank A. La Sorte, Subhransu Maji

Dataset, October, 2025

Dark Ecology Dataset: Measurements of Aerial Biomass in US Weather Radar: Vertical Profiles from 2015-2019.

Daniel Sheldon, Kevin Winner, Iman Deznabi, Garrett Bernstein, Pankaj Bhambani, Tsung-Yu Lin, Peter Desmet, Adriaan M. Dokter, Kyle G. Horton, Cecilia Nilsson, Benjamin Van Doren, Andrew Farnsworth, Frank A. La Sorte, Subhransu Maji

Dataset, October, 2025

Dark Ecology Dataset: Measurements of Aerial Biomass in US Weather Radar: Vertical Profiles from 2010-2014.

Daniel Sheldon, Kevin Winner, Iman Deznabi, Garrett Bernstein, Pankaj Bhambani, Tsung-Yu Lin, Peter Desmet, Adriaan M. Dokter, Kyle G. Horton, Cecilia Nilsson, Benjamin Van Doren, Andrew Farnsworth, Frank A. La Sorte, Subhransu Maji

Dataset, October, 2025

Dark Ecology Dataset: Measurements of Aerial Biomass in US Weather Radar: Vertical Profiles from 2005-2009.

Daniel Sheldon, Kevin Winner, Iman Deznabi, Garrett Bernstein, Pankaj Bhambani, Tsung-Yu Lin, Peter Desmet, Adriaan M. Dokter, Kyle G. Horton, Cecilia Nilsson, Benjamin Van Doren, Andrew Farnsworth, Frank A. La Sorte, Subhransu Maji

Dataset, October, 2025

Dark Ecology Dataset: Measurements of Aerial Biomass in US Weather Radar: Vertical Profiles from 2000-2004.

Daniel Sheldon, Kevin Winner, Iman Deznabi, Garrett Bernstein, Pankaj Bhambani, Tsung-Yu Lin, Peter Desmet, Adriaan M. Dokter, Kyle G. Horton, Cecilia Nilsson, Benjamin Van Doren, Andrew Farnsworth, Frank A. La Sorte, Subhransu Maji

Dataset, October, 2025

Dark Ecology Dataset: Measurements of Aerial Biomass in US Weather Radar: Vertical Profiles from 1995-1999.

Daniel Sheldon, Kevin Winner, Iman Deznabi, Garrett Bernstein, Pankaj Bhambani, Tsung-Yu Lin, Peter Desmet, Adriaan M. Dokter, Kyle G. Horton, Cecilia Nilsson, Benjamin Van Doren, Andrew Farnsworth, Frank A. La Sorte, Subhransu Maji

Dataset, October, 2025

2019

Differentially Private Bayesian Linear Regression.

Garrett Bernstein, Daniel Sheldon

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

2018

Differentially Private Bayesian Inference for Exponential Families.

Garrett Bernstein, Daniel Sheldon

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

Differentially Private Learning of Undirected Graphical Models Using Collective Graphical Models.

Garrett Bernstein, Ryan McKenna, Tao Sun, Daniel Sheldon, Michael Hay, Gerome Miklau

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

2016

Consistently Estimating Markov Chains with Noisy Aggregate Data.

Garrett Bernstein, Daniel Sheldon

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

2015

Inference in a Partially Observed Queuing Model with Applications in Ecology.

Kevin Winner, Garrett Bernstein, Daniel Sheldon

Proceedings of the 32nd International Conference on Machine Learning, 2015

2014

Bayesian Discovery of Threat Networks.

Steven Thomas Smith, Edward K. Kao, Kenneth D. Senne, Garrett Bernstein, Scott Philips

IEEE Trans. Signal Process., 2014

Bayesian network detection using absorbing Markov chains.

Steven Thomas Smith, Edward K. Kao, Kenneth D. Senne, Garrett Bernstein

Proceedings of the IEEE International Conference on Acoustics, 2014

2013

Network Detection Theory and Performance

Steven Thomas Smith, Kenneth D. Senne, Scott Philips, Edward K. Kao, Garrett Bernstein

CoRR, 2013

Stochastic agent-based simulations of social networks.

Garrett Bernstein, Kyle O'Brien

Proceedings of the 46th Annual Simulation Symposium, 2013