Austin Goddard

According to our database, Austin Goddard authored at least 5 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Mining Invariance from Nonlinear Multi-Environment Data: Binary Classification.

Austin Goddard, Kang Du, Yu Xiang

Proceedings of the IEEE International Symposium on Information Theory, 2024

2023

Error Probability Bounds for Invariant Causal Prediction via Multiple Access Channels.

Austin Goddard, Yu Xiang, Ilya Soloveychik

Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023

2022

Lower Bounds on the Error Probability for Invariant Causal Prediction.

Austin Goddard, Yu Xiang, Ilya Soloveychik

Proceedings of the 32nd IEEE International Workshop on Machine Learning for Signal Processing, 2022

2021

A Subsampling-Based Method for Causal Discovery on Discrete Data.

Austin Goddard, Yu Xiang

Proceedings of the IEEE Statistical Signal Processing Workshop, 2021

2020

On the Robustness of Causal Discovery with Additive Noise Models on Discrete Data.

Kang Du, Austin Goddard, Yu Xiang

Proceedings of the Data Compression Conference, 2020