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Katelyn Gao
Katelyn Gao
Intel Labs
Verified email at intel.com
Title
Cited by
Cited by
Year
Assessing generalization in deep reinforcement learning
C Packer, K Gao, J Kos, P Krähenbühl, V Koltun, D Song
arXiv preprint arXiv:1810.12282, 2018
2122018
Efficient moment calculations for variance components in large unbalanced crossed random effects models
K Gao, A Owen
302017
Modeling and optimization trade-off in meta-learning
K Gao, O Sener
Advances in Neural Information Processing Systems 33, 11154-11165, 2020
262020
Estimation and inference for very large linear mixed effects models
K Gao, AB Owen
Statistica Sinica 30 (4), 2020
20*2020
Scalable estimation and inference for massive linear mixed models with crossed random effects
K Gao
Stanford University, 2017
162017
Generalizing gaussian smoothing for random search
K Gao, O Sener
International Conference on Machine Learning, 7077-7101, 2022
82022
Online one-class SVMs with active-set optimization for data streams
K Gao
2015 IEEE 14th International Conference on Machine Learning and Applications …, 2015
42015
Confidence Intervals for Algorithmic Leveraging in Linear Regression
K Gao
arXiv preprint arXiv:1606.01473, 2016
2*2016
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Articles 1–8