Dillon, Joshua

8 publications

AISTATS 2021 Automatic Differentiation Variational Inference with Mixtures Warren Morningstar, Sharad Vikram, Cusuh Ham, Andrew Gallagher, Joshua Dillon

AISTATS 2021 Density of States Estimation for Out of Distribution Detection Warren Morningstar, Cusuh Ham, Andrew Gallagher, Balaji Lakshminarayanan, Alex Alemi, Joshua Dillon

ICML 2020 The K-Tied Normal Distribution: A Compact Parameterization of Gaussian Mean Field Posteriors in Bayesian Neural Networks Jakub Swiatkowski, Kevin Roth, Bastiaan Veeling, Linh Tran, Joshua Dillon, Jasper Snoek, Stephan Mandt, Tim Salimans, Rodolphe Jenatton, Sebastian Nowozin

NeurIPS 2019 Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift Yaniv Ovadia, Emily Fertig, Jie Ren, Zachary Nado, D. Sculley, Sebastian Nowozin, Joshua Dillon, Balaji Lakshminarayanan, Jasper Snoek

NeurIPS 2019 Likelihood Ratios for Out-of-Distribution Detection Jie Ren, Peter J. Liu, Emily Fertig, Jasper Snoek, Ryan Poplin, Mark Depristo, Joshua Dillon, Balaji Lakshminarayanan

ICML 2018 Fixing a Broken ELBO Alexander Alemi, Ben Poole, Ian Fischer, Joshua Dillon, Rif A. Saurous, Kevin Murphy

AISTATS 2009 Statistical and Computational Tradeoffs in Stochastic Composite Likelihood Joshua Dillon, Guy Lebanon

JMLR 2007 The Locally Weighted Bag of Words Framework for Document Representation Guy Lebanon, Yi Mao, Joshua Dillon