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** Selected Updates **

• May 2024: Improving Instruction Following in Language Models through Proxy-Based Uncertainty Estimation has been accepted to International Conference on Machine Learning (ICML) 2024!

• April 2024: Started as a Sr. Applied Scientist at Amazon Web Services (AWS).

• December 2023: Selected as a top reviewer of NeurIPS 2023.

• September 2023: Awarded the Gold Prize in the 2023 Samsung Best Paper Award, an accolade across the Samsung conglomerate, including Samsung Electronics and Samsung SDS, for innovating the Bayesian deep active learning framework.

• July 2023: Unsupervised Accuracy Estimation of Deep Visual Models using Domain-Adaptive Adversarial Perturbation without Source Samples has been accepted to International Conference on Computer Vision (ICCV) 2023!

• January 2023: Active Learning in Bayesian Neural Networks with Balanced Entropy Learning Principle has been accepted with notable-top-25% to International Conference on Learning Representations (ICLR) 2023! [Slides]

• June 2022: I'm very excited to present the paper - Analytic Mutual Information in Bayesian Neural Networks at IEEE International Symposium on Information Theory.

  • I served as a session chair for Machine Learning for Communications and Coding I.

• May 2021: Entropy Inequalities for Sums in Prime Cyclic Groups has been accepted for publication in SIAM Journal on Discrete Mathematics.

• December 2020: On the Steady State of Continuous Time Stochastic Opinion Dynamics with Power Law Confidence has been published in Journal of Applied Probability.

• October 2019: Majorization and Rényi Entropy Inequalities via Sperner Theory has been published in Discrete Mathematics.

Hello (안녕하세요/in Korean). I am a Sr. Applied Scientist at Amazon Web Services. Before that, I was a Sr. Staff Research Scientist at Samsung SDS Research America and worked at Moody's Analytics, San Francisco. I was a Simons Postdoctoral Fellow and a Lecturer at The University of Texas at Austin from September 2015 to August 2017. 

Name : Jae Oh Woo (Korean - 우재오)

At UT Austin, I was jointly affiliated with Simons Center on Communication, Information and Network Mathematics in Department of Mathematics, and Wireless Networking & Communications Group in Department of Electrical and Computer Engineering. 

I finished Ph.D. in Applied Mathematics Program at Yale University and B.S. in Mathematics at Korea Advanced Institute of Science and Technology (KAIST).