Search Results - "Lee, Chansoo"

Simulation of hydrogen diffusion along the axial direction in zirconium cladding tube during dry storage by Lee, Chansoo, Lee, Youho

“…This study presents an updated mHNGD (modified hydrogen nucleation-growth-dissolution) model by improving atomic fraction of solid solution hydrogen with the…”
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Development of a coupled fuel (GIFT) and thermal (COBRA-SFS) analysis code for dry storage analysis and its application for the spent fuel safety analyses by Lee, Chansoo, Lee, Youho

“…•An integrated dry storage analysis code was developed, enabling comprehensive simulations from reactor operation to extended dry storage.•Analysis of various…”
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Integral LOCA experiments to study FFRD behavior of high burnup nuclear fuels by Yook, Hyunwoo, Joung, Sunghoon, Lee, Chansoo, Lee, Youho

“…•Integral LOCA experiments using ZrO2 surrogate pellets were conducted to simulate FFRD behavior of high burnup fuels up to 94 GWd/MTU.•Cladding ballooning and…”
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Analysis of Perturbation Techniques in Online Learning by Lee, Chansoo

“…The most commonly used regularization technique in machine learning is to directly add a penalty function to the optimization objective. For example, L2…”
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Cubic irrationals and periodicity via a family of multi-dimensional continued fraction algorithms by Dasaratha, Krishna, Flapan, Laure, Garrity, Thomas, Lee, Chansoo, Mihaila, Cornelia, Neumann-Chun, Nicholas, Peluse, Sarah, Stoffregen, Matthew

“…We construct a countable family of multi-dimensional continued fraction algorithms, built out of five specific multidimensional continued fractions, and find a…”
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Position: Leverage Foundational Models for Black-Box Optimization by Song, Xingyou, Tian, Yingtao, Lange, Robert Tjarko, Lee, Chansoo, Tang, Yujin, Chen, Yutian

“…Undeniably, Large Language Models (LLMs) have stirred an extraordinary wave of innovation in the machine learning research domain, resulting in substantial…”
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Open Source Vizier: Distributed Infrastructure and API for Reliable and Flexible Blackbox Optimization by Song, Xingyou, Perel, Sagi, Lee, Chansoo, Kochanski, Greg, Golovin, Daniel

“…Vizier is the de-facto blackbox and hyperparameter optimization service across Google, having optimized some of Google's largest products and research efforts…”
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OmniPred: Language Models as Universal Regressors by Song, Xingyou, Li, Oscar, Lee, Chansoo, Yang, Bangding, Peng, Daiyi, Perel, Sagi, Chen, Yutian

“…Over the broad landscape of experimental design, regression has been a powerful tool to accurately predict the outcome metrics of a system or model given a set…”
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Predicting from Strings: Language Model Embeddings for Bayesian Optimization by Nguyen, Tung, Zhang, Qiuyi, Yang, Bangding, Lee, Chansoo, Bornschein, Jorg, Miao, Yingjie, Perel, Sagi, Chen, Yutian, Song, Xingyou

“…Bayesian Optimization is ubiquitous in the field of experimental design and blackbox optimization for improving search efficiency, but has been traditionally…”
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The Vizier Gaussian Process Bandit Algorithm by Song, Xingyou, Zhang, Qiuyi, Lee, Chansoo, Fertig, Emily, Huang, Tzu-Kuo, Belenki, Lior, Kochanski, Greg, Ariafar, Setareh, Vasudevan, Srinivas, Perel, Sagi, Golovin, Daniel

“…Google Vizier has performed millions of optimizations and accelerated numerous research and production systems at Google, demonstrating the success of Bayesian…”
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Task Selection for AutoML System Evaluation by Lorraine, Jonathan, Anderson, Nihesh, Lee, Chansoo, De Laroussilhe, Quentin, Hassen, Mehadi

“…Our goal is to assess if AutoML system changes - i.e., to the search space or hyperparameter optimization - will improve the final model's performance on…”
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Pre-training helps Bayesian optimization too by Wang, Zi, Dahl, George E, Swersky, Kevin, Lee, Chansoo, Mariet, Zelda, Nado, Zachary, Gilmer, Justin, Snoek, Jasper, Ghahramani, Zoubin

“…Bayesian optimization (BO) has become a popular strategy for global optimization of many expensive real-world functions. Contrary to a common belief that BO is…”
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Pre-trained Gaussian Processes for Bayesian Optimization by Wang, Zi, Dahl, George E, Swersky, Kevin, Lee, Chansoo, Nado, Zachary, Gilmer, Justin, Snoek, Jasper, Ghahramani, Zoubin

“…Journal of Machine Learning Research, 25(212):1-83, 2024. URL http://jmlr.org/papers/v25/23-0269.html Bayesian optimization (BO) has become a popular strategy…”
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Towards Learning Universal Hyperparameter Optimizers with Transformers by Chen, Yutian, Song, Xingyou, Lee, Chansoo, Wang, Zi, Zhang, Qiuyi, Dohan, David, Kawakami, Kazuya, Kochanski, Greg, Doucet, Arnaud, Ranzato, Marc'aurelio, Perel, Sagi, de Freitas, Nando

“…Meta-learning hyperparameter optimization (HPO) algorithms from prior experiments is a promising approach to improve optimization efficiency over objective…”
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Gradientless Descent: High-Dimensional Zeroth-Order Optimization by Golovin, Daniel, Karro, John, Kochanski, Greg, Lee, Chansoo, Song, Xingyou, Zhang, Qiuyi

“…ICLR 2020 Spotlight Zeroth-order optimization is the process of minimizing an objective $f(x)$, given oracle access to evaluations at adaptively chosen inputs…”
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Fighting Bandits with a New Kind of Smoothness by Abernethy, Jacob, Lee, Chansoo, Tewari, Ambuj

“…We define a novel family of algorithms for the adversarial multi-armed bandit problem, and provide a simple analysis technique based on convex smoothing. We…”
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Hardness of Online Sleeping Combinatorial Optimization Problems by Kale, Satyen, Lee, Chansoo, Pál, Dávid

“…We show that several online combinatorial optimization problems that admit efficient no-regret algorithms become computationally hard in the sleeping setting…”
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Spectral Smoothing via Random Matrix Perturbations by Abernethy, Jacob, Lee, Chansoo, Tewari, Ambuj

“…We consider stochastic smoothing of spectral functions of matrices using perturbations commonly studied in random matrix theory. We show that a spectral…”
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Online Learning via the Differential Privacy Lens by Abernethy, Jacob, Jung, Young Hun, Lee, Chansoo, McMillan, Audra, Tewari, Ambuj

“…In this paper, we use differential privacy as a lens to examine online learning in both full and partial information settings. The differential privacy…”
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Online Linear Optimization via Smoothing by Abernethy, Jacob, Lee, Chansoo, Sinha, Abhinav, Tewari, Ambuj

“…JMLR 2014 W&CP We present a new optimization-theoretic approach to analyzing Follow-the-Leader style algorithms, particularly in the setting where…”
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