Austin Goddard

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 8

Top Topics

Causal Discovery

Top Venues

Publications

Austin Goddard, Kang Du, Yu Xiang
Mining Invariance from Nonlinear Multi-Environment Data: Binary Classification. CoRR (2024)
Austin Goddard, Yu Xiang, Ilya Soloveychik
Error Probability Bounds for Invariant Causal Prediction via Multiple Access Channels. CoRR (2023)
Austin Goddard, Yu Xiang, Ilya Soloveychik
Error Probability Bounds for Invariant Causal Prediction via Multiple Access Channels. ACSSC (2023)
Austin Goddard, Yu Xiang, Ilya Soloveychik
Lower Bounds on the Error Probability for Invariant Causal Prediction. MLSP (2022)
Austin Goddard, Yu Xiang, Ilya Soloveychik
Lower Bounds on the Error Probability for Invariant Causal Prediction. CoRR (2022)
Austin Goddard, Yu Xiang
A Subsampling-Based Method for Causal Discovery on Discrete Data. CoRR (2021)
Austin Goddard, Yu Xiang
A Subsampling-Based Method for Causal Discovery on Discrete Data. SSP (2021)
Kang Du, Austin Goddard, Yu Xiang
On the Robustness of Causal Discovery with Additive Noise Models on Discrete Data. DCC (2020)