Daniel R. Sheldon

Publication Activity (10 Years)

Years Active: 2011-2022
Publications (10 Years): 9

Top Topics

Differentially Private

Top Venues

Publications

Mohit Yadav, Daniel R. Sheldon, Cameron Musco
Kernel Interpolation with Sparse Grids. NeurIPS (2022)
Ryan McKenna, Daniel R. Sheldon
Permute-and-Flip: A new mechanism for differentially private selection. NeurIPS (2020)
Abhinav Agrawal, Daniel R. Sheldon, Justin Domke
Advances in Black-Box VI: Normalizing Flows, Importance Weighting, and Optimization. NeurIPS (2020)
Justin Domke, Daniel R. Sheldon
Divide and Couple: Using Monte Carlo Variational Objectives for Posterior Approximation. NeurIPS (2019)
Garrett Bernstein, Daniel R. Sheldon
Differentially Private Bayesian Linear Regression. NeurIPS (2019)
Garrett Bernstein, Daniel R. Sheldon
Differentially Private Bayesian Inference for Exponential Families. NeurIPS (2018)
Rico Angell, Daniel R. Sheldon
Inferring Latent Velocities from Weather Radar Data using Gaussian Processes. NeurIPS (2018)
Justin Domke, Daniel R. Sheldon
Importance Weighting and Variational Inference. NeurIPS (2018)
Kevin Winner, Daniel R. Sheldon
Probabilistic Inference with Generating Functions for Poisson Latent Variable Models. NIPS (2016)
XiaoJian Wu, Daniel R. Sheldon, Shlomo Zilberstein
Stochastic Network Design in Bidirected Trees. NIPS (2014)
Daniel R. Sheldon, Andrew Farnsworth, Jed Irvine, Benjamin Van Doren, Kevin F. Webb, Thomas G. Dietterich, Steve Kelling
Approximate Bayesian Inference for Reconstructing Velocities of Migrating Birds from Weather Radar. AAAI (2013)
Thomas G. Dietterich, Ethan W. Dereszynski, Rebecca A. Hutchinson, Daniel R. Sheldon
Machine learning for computational sustainability. IGCC (2012)
Daniel R. Sheldon, Thomas G. Dietterich
Collective Graphical Models. NIPS (2011)