Sheldon, Daniel R.

13 publications

NeurIPS 2022 Kernel Interpolation with Sparse Grids Mohit Yadav, Daniel R. Sheldon, Cameron Musco

NeurIPS 2021 Relaxed Marginal Consistency for Differentially Private Query Answering Ryan McKenna, Siddhant Pradhan, Daniel R. Sheldon, Gerome Miklau

NeurIPS 2020 Advances in Black-Box VI: Normalizing Flows, Importance Weighting, and Optimization Abhinav Agrawal, Daniel R. Sheldon, Justin Domke

NeurIPS 2020 Permute-and-Flip: A New Mechanism for Differentially Private Selection Ryan McKenna, Daniel R. Sheldon

NeurIPS 2019 Differentially Private Bayesian Linear Regression Garrett Bernstein, Daniel R. Sheldon

NeurIPS 2019 Divide and Couple: Using Monte Carlo Variational Objectives for Posterior Approximation Justin Domke, Daniel R. Sheldon

NeurIPS 2018 Differentially Private Bayesian Inference for Exponential Families Garrett Bernstein, Daniel R. Sheldon

NeurIPS 2018 Importance Weighting and Variational Inference Justin Domke, Daniel R. Sheldon

NeurIPS 2018 Inferring Latent Velocities from Weather Radar Data Using Gaussian Processes Rico Angell, Daniel R. Sheldon

NeurIPS 2016 Probabilistic Inference with Generating Functions for Poisson Latent Variable Models Kevin Winner, Daniel R. Sheldon

NeurIPS 2014 Stochastic Network Design in Bidirected Trees Xiaojian Wu, Daniel R. Sheldon, Shlomo Zilberstein

NeurIPS 2011 Collective Graphical Models Daniel R. Sheldon, Thomas G. Dietterich

NeurIPS 2007 Collective Inference on Markov Models for Modeling Bird Migration M.a. S. Elmohamed, Dexter Kozen, Daniel R. Sheldon