Justin Hong

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 4

Top Topics

Heterogeneous Environments

Machine Learning

Causal Relations

Top Venues

Publications

Mathieu Chevalley, Jacob Sackett-Sanders, Yusuf Roohani, Pascal Notin, Artemy Bakulin, Dariusz Brzezinski, Kaiwen Deng, Yuanfang Guan, Justin Hong, Michael Ibrahim, Wojciech Kotlowski, Marcin Kowiel, Panagiotis Misiakos, Achille Nazaret, Markus Püschel, Chris Wendler, Arash Mehrjou, Patrick Schwab
The CausalBench challenge: A machine learning contest for gene network inference from single-cell perturbation data. CoRR (2023)
Achille Nazaret, Justin Hong, Elham Azizi, David M. Blei
Stable Differentiable Causal Discovery. CoRR (2023)
Konstantinos Katsiapis, Abhijit Karmarkar, Ahmet Altay, Aleksandr Zaks, Neoklis Polyzotis, Anusha Ramesh, Ben Mathes, Gautam Vasudevan, Irene Giannoumis, Jarek Wilkiewicz, Jiri Simsa, Justin Hong, Mitchell Trott, Noé Lutz, Pavel A. Dournov, Robert Crowe, Sarah Sirajuddin, Tris Brian Warkentin, Zhitao Li
Towards ML Engineering: A Brief History Of TensorFlow Extended (TFX). CoRR (2020)
Avishek Ghosh, Justin Hong, Dong Yin, Kannan Ramchandran
Robust Federated Learning in a Heterogeneous Environment. CoRR (2019)