no code implementations • 18 Apr 2024 • Soonwoo Kwon, Jonathan Roth
We consider Bayes and Empirical Bayes (EB) approaches for dealing with violations of parallel trends.
no code implementations • 17 Apr 2024 • Soonwoo Kwon, Jonathan Roth
Economists are often interested in the mechanisms by which a particular treatment affects an outcome.
no code implementations • 15 Mar 2024 • Jin-Young Kim, Hyojun Go, Soonwoo Kwon, Hyun-Gyoon Kim
By organizing timesteps or noise levels into clusters and training models with descending orders of difficulty, we facilitate an order-aware training regime, progressing from easier to harder denoising tasks, thereby deviating from the conventional approach of training diffusion models simultaneously across all timesteps.
no code implementations • 24 Aug 2023 • Soonwoo Kwon
Shrinkage methods are frequently used to estimate fixed effects to reduce the noisiness of the least squares estimators.
1 code implementation • 23 Aug 2023 • Soonwoo Kwon, Sojung Kim, SeungHyun Lee, Jin-Young Kim, Suyeong An, Kyuseok Kim
Indeed, when naively training the diagnostic model using CAT response data, we observe that item profiles deviate significantly from the ground-truth.
no code implementations • 7 Jun 2023 • Jin-Young Kim, Soonwoo Kwon, Hyojun Go, Yunsung Lee, Seungtaek Choi
Self-supervised contrastive learning (CL) has achieved state-of-the-art performance in representation learning by minimizing the distance between positive pairs while maximizing that of negative ones.
1 code implementation • 10 Oct 2022 • Kyung Ho Park, Hyunhee Chung, Soonwoo Kwon
Under various image recognition tasks in the real world car-sharing platform, our study illustrates how we established the proposed system and lessons learned from this journey as follows.
no code implementations • 7 Oct 2022 • Jungbae Park, Jinyoung Kim, Soonwoo Kwon, Sang Wan Lee
Knowledge tracing and dropout prediction are crucial for online education to estimate students' knowledge states or to prevent dropout rates.
no code implementations • 29 Dec 2020 • Timothy B. Armstrong, Michal Kolesár, Soonwoo Kwon
We consider inference on a scalar regression coefficient under a constraint on the magnitude of the control coefficients.