Beatson, Alex

8 publications

ICLR 2021 Randomized Automatic Differentiation Deniz Oktay, Nick McGreivy, Joshua Aduol, Alex Beatson, Ryan P Adams

ICML 2020 Amortized Finite Element Analysis for Fast PDE-Constrained Optimization Tianju Xue, Alex Beatson, Sigrid Adriaenssens, Ryan Adams

ICLRW 2020 Amortized Finite Element Analysis for Fast PDE-Constrained Optimization Tianju Xue, Alex Beatson, Sigrid Adriaenssens, Ryan P. Adams

NeurIPS 2020 Learning Composable Energy Surrogates for PDE Order Reduction Alex Beatson, Jordan Ash, Geoffrey Roeder, Tianju Xue, Ryan P. Adams

ICLR 2020 SUMO: Unbiased Estimation of Log Marginal Probability for Latent Variable Models Yucen Luo, Alex Beatson, Mohammad Norouzi, Jun Zhu, David Duvenaud, Ryan P. Adams, Ricky T. Q. Chen

ICLR 2019 Amortized Bayesian Meta-Learning Sachin Ravi, Alex Beatson

ICML 2019 Efficient Optimization of Loops and Limits with Randomized Telescoping Sums Alex Beatson, Ryan P Adams

NeurIPS 2016 Blind Attacks on Machine Learners Alex Beatson, Zhaoran Wang, Han Liu