1 code implementation • 20 Feb 2023 • Renato Berlinghieri, Brian L. Trippe, David R. Burt, Ryan Giordano, Kaushik Srinivasan, Tamay Özgökmen, Junfei Xia, Tamara Broderick
Given sparse observations of buoy velocities, oceanographers are interested in reconstructing ocean currents away from the buoys and identifying divergences in a current vector field.
1 code implementation • 5 Feb 2023 • Jason Yim, Brian L. Trippe, Valentin De Bortoli, Emile Mathieu, Arnaud Doucet, Regina Barzilay, Tommi Jaakkola
The design of novel protein structures remains a challenge in protein engineering for applications across biomedicine and chemistry.
1 code implementation • 8 Jun 2022 • Brian L. Trippe, Jason Yim, Doug Tischer, David Baker, Tamara Broderick, Regina Barzilay, Tommi Jaakkola
Construction of a scaffold structure that supports a desired motif, conferring protein function, shows promise for the design of vaccines and enzymes.
1 code implementation • 23 Feb 2022 • Tin D. Nguyen, Brian L. Trippe, Tamara Broderick
In MCMC samplers of continuous random variables, Markov chain couplings can overcome bias.
no code implementations • NeurIPS 2021 • Brian L. Trippe, Hilary K. Finucane, Tamara Broderick
While standard practice is to model regression parameters (effects) as (1) exchangeable across datasets and (2) correlated to differing degrees across covariates, we show that this approach exhibits poor statistical performance when the number of covariates exceeds the number of datasets.
no code implementations • 17 May 2019 • Brian L. Trippe, Jonathan H. Huggins, Raj Agrawal, Tamara Broderick
Due to the ease of modern data collection, applied statisticians often have access to a large set of covariates that they wish to relate to some observed outcome.
no code implementations • 14 Feb 2018 • Brian L. Trippe, Richard E. Turner
Modeling complex conditional distributions is critical in a variety of settings.