Jane H. Lee

According to our database, Jane H. Lee authored at least 8 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Efficient Statistics With Unknown Truncation, Polynomial Time Algorithms, Beyond Gaussians.

Jane H. Lee, Anay Mehrotra, Manolis Zampetakis

CoRR, 2024

2023

Learning Exponential Families from Truncated Samples.

Jane H. Lee, Andre Wibisono, Emmanouil Zampetakis

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Exact Gradient Computation for Spiking Neural Networks via Forward Propagation.

Jane H. Lee, Saeid Haghighatshoar, Amin Karbasi

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Exact Gradient Computation for Spiking Neural Networks Through Forward Propagation.

Jane H. Lee, Saeid Haghighatshoar, Amin Karbasi

CoRR, 2022

2021

The rural-urban stress divide: Obtaining geographical insights through Twitter.

Kokil Jaidka, Sharath Chandra Guntuku, Jane H. Lee, Zhengyi Luo, Anneke Buffone, Lyle H. Ungar

Comput. Hum. Behav., 2021

Learning from Noisy Labels with No Change to the Training Process.

Mingyuan Zhang, Jane H. Lee, Shivani Agarwal

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

A Group-Theoretic Framework for Data Augmentation.

Shuxiao Chen, Edgar Dobriban, Jane H. Lee

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Invariance reduces Variance: Understanding Data Augmentation in Deep Learning and Beyond.

Shuxiao Chen, Edgar Dobriban, Jane H. Lee

CoRR, 2019