Flaxman, Seth R.

7 publications

AAAI 2023 Seq2Seq Surrogates of Epidemic Models to Facilitate Bayesian Inference Giovanni Charles, Timothy M. Wolock, Peter Winskill, Azra C. Ghani, Samir Bhatt, Seth R. Flaxman

AISTATS 2018 AdaGeo: Adaptive Geometric Learning for Optimization and Sampling Gabriele Abbati, Alessandra Tosi, Michael A. Osborne, Seth R. Flaxman

AISTATS 2018 Bayesian Approaches to Distribution Regression Ho Chung Leon Law, Danica J. Sutherland, Dino Sejdinovic, Seth R. Flaxman

UAI 2017 Feature-to-Feature Regression for a Two-Step Conditional Independence Test Qinyi Zhang, Sarah Filippi, Seth R. Flaxman, Dino Sejdinovic

AISTATS 2017 Poisson Intensity Estimation with Reproducing Kernels Seth R. Flaxman, Yee Whye Teh, Dino Sejdinovic

UAI 2016 Bayesian Learning of Kernel Embeddings Seth R. Flaxman, Dino Sejdinovic, John P. Cunningham, Sarah Filippi

AISTATS 2016 Scalable Gaussian Processes for Characterizing Multidimensional Change Surfaces William Herlands, Andrew Gordon Wilson, Hannes Nickisch, Seth R. Flaxman, Daniel B. Neill, Wilbert Van Panhuis, Eric P. Xing