Cunningham, John

11 publications

ICML 2022 Preconditioning for Scalable Gaussian Process Hyperparameter Optimization Jonathan Wenger, Geoff Pleiss, Philipp Hennig, John Cunningham, Jacob Gardner

ICML 2022 Scaling Structured Inference with Randomization Yao Fu, John Cunningham, Mirella Lapata

AISTATS 2021 Hierarchical Inducing Point Gaussian Process for Inter-Domian Observations Luhuan Wu, Andrew Miller, Lauren Anderson, Geoff Pleiss, David Blei, John Cunningham

ICML 2020 The Continuous Categorical: A Novel Simplex-Valued Exponential Family Elliott Gordon-Rodriguez, Gabriel Loaiza-Ganem, John Cunningham

AISTATS 2019 Calibrating Deep Convolutional Gaussian Processes Gia-Lac Tran, Edwin V. Bonilla, John Cunningham, Pietro Michiardi, Maurizio Filippone

ICML 2019 Discriminative Regularization for Latent Variable Models with Applications to Electrocardiography Andrew Miller, Ziad Obermeyer, John Cunningham, Sendhil Mullainathan

ICML 2016 Preconditioning Kernel Matrices Kurt Cutajar, Michael Osborne, John Cunningham, Maurizio Filippone

ICML 2016 Slice Sampling on Hamiltonian Trajectories Benjamin Bloem-Reddy, John Cunningham

ICML 2014 Bayesian Optimization with Inequality Constraints Jacob Gardner, Matt Kusner, Zhixiang, Kilian Weinberger, John Cunningham

ICML 2013 Scaling Multidimensional Gaussian Processes Using Projected Additive Approximations Elad Gilboa, Yunus Saatçi, John Cunningham, Elad Gilboa

AISTATS 2012 Gaussian Processes for Time-Marked Time-Series Data John Cunningham, Zoubin Ghahramani, Carl Rasmussen