Chung, Youngseog

9 publications

TMLR 2025 Beyond Parameter Count: Implicit Bias in Soft Mixture of Experts Youngseog Chung, Dhruv Malik, Jeff Schneider, Yuanzhi Li, Aarti Singh

NeurIPS 2025 What Is Your Data Worth to GPT? LLM-Scale Data Valuation with Influence Functions Sang Keun Choe, Hwijeen Ahn, Juhan Bae, Kewen Zhao, Youngseog Chung, Adithya Pratapa, Willie Neiswanger, Emma Strubell, Teruko Mitamura, Jeff Schneider, Eduard Hovy, Roger Baker Grosse, Eric P. Xing

ICML 2024 Sampling-Based Multi-Dimensional Recalibration Youngseog Chung, Ian Char, Jeff Schneider

NeurIPSW 2023 Correlated Trajectory Uncertainty for Adaptive Sequential Decision Making Ian Char, Youngseog Chung, Rohan Shah, Willie Neiswanger, Jeff Schneider

L4DC 2023 Offline Model-Based Reinforcement Learning for Tokamak Control Ian Char, Joseph Abbate, Laszlo Bardoczi, Mark Boyer, Youngseog Chung, Rory Conlin, Keith Erickson, Viraj Mehta, Nathan Richner, Egemen Kolemen, Jeff Schneider

UAI 2023 Parity Calibration Youngseog Chung, Aaron Rumack, Chirag Gupta

NeurIPS 2021 Beyond Pinball Loss: Quantile Methods for Calibrated Uncertainty Quantification Youngseog Chung, Willie Neiswanger, Ian Char, Jeff G. Schneider

ICLRW 2020 Neural Dynamical Systems Viraj Mehta, Ian Char, Willie Neiswanger, Youngseog Chung, Andrew Oakleigh Nelson, Mark D Boyer, Egemen Kolemen, Jeff Schneider

NeurIPS 2019 Offline Contextual Bayesian Optimization Ian Char, Youngseog Chung, Willie Neiswanger, Kirthevasan Kandasamy, Andrew Oakleigh Nelson, Mark Boyer, Egemen Kolemen, Jeff Schneider