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Yijun Dong
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Simpler is better: a comparative study of randomized pivoting algorithms for CUR and interpolative decompositions
Y Dong, PG Martinsson
Advances in Computational Mathematics 49 (4), 66, 2023
39*2023
Sample efficiency of data augmentation consistency regularization
S Yang, Y Dong, R Ward, IS Dhillon, S Sanghavi, Q Lei
International Conference on Artificial Intelligence and Statistics, 3825-3853, 2023
232023
Robust blockwise random pivoting: Fast and accurate adaptive interpolative decomposition
Y Dong, C Chen, PG Martinsson, K Pearce
arXiv preprint arXiv:2309.16002, 2023
72023
Adaptive parallelizable algorithms for interpolative decompositions via partially pivoted LU
K Pearce, C Chen, Y Dong, PG Martinsson
Numerical Linear Algebra with Applications 32 (1), e70002, 2025
22025
Sketchy Moment Matching: Toward Fast and Provable Data Selection for Finetuning
Y Dong, H Phan, X Pan, Q Lei
Advances in Neural Information Processing Systems, 2024
22024
Cluster-aware semi-supervised learning: relational knowledge distillation provably learns clustering
Y Dong, K Miller, Q Lei, R Ward
Advances in Neural Information Processing Systems 36, 2023
22023
Quantifying biofilm formation of Sinorhizobium meliloti bacterial strains in microfluidic platforms by measuring the diffusion coefficient of polystyrene beads
C Cheng, Y Dong, M Dorian, F Kamili, E Seitaridou
Open Journal of Biophysics 7 (3), 157-173, 2017
22017
Efficient bounds and estimates for canonical angles in randomized subspace approximations
Y Dong, PG Martinsson, Y Nakatsukasa
SIAM Journal on Matrix Analysis and Applications 45 (4), 1978-2006, 2024
12024
Greedy Output Approximation: Towards Efficient Structured Pruning for LLMs Without Retraining
J Li, Y Dong, Q Lei
arXiv preprint arXiv:2407.19126, 2024
12024
Adaptively Weighted Data Augmentation Consistency Regularization for Robust Optimization under Concept Shift
Y Dong, Y Xie, R Ward
International Conference on Machine Learning, 2023
12023
Randomly Pivoted V-optimal Design: Fast Data Selection under Low Intrinsic Dimension
Y Dong, X Pan, H Phan, Q Lei
Workshop on Machine Learning and Compression, NeurIPS 2024, 2024
2024
Randomized Dimension Reduction with Statistical Guarantees
Y Dong
University of Texas at Austin, 2023
2023
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