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Beidi Chen
Beidi Chen
Verified email at stanford.edu
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Year
SLIDE: In Defense of Smart Algorithms over Hardware Acceleration for Large-scale Deep Learning Systems
B Chen, T Medini, J Farwell, S Gobriel, C Tai, A Shrivastava
Proceedings of Machine Learning and System 2, 291--306, 2020
842020
Analyzing log analysis: An empirical study of user log mining
S Alspaugh, B Chen, J Lin, A Ganapathi, M Hearst, R Katz
28th Large Installation System Administration Conference (LISA14), 62-77, 2014
592014
Angular visual hardness
B Chen, W Liu, Z Yu, J Kautz, A Shrivastava, A Garg, A Anandkumar
International Conference on Machine Learning, 1637-1648, 2020
382020
Fast and accurate stochastic gradient estimation
B Chen, Y Xu, A Shrivastava
Advances in Neural Information Processing Systems 32, 2019
36*2019
MONGOOSE: A learnable LSH framework for efficient neural network training
B Chen, Z Liu, B Peng, Z Xu, JL Li, T Dao, Z Song, A Shrivastava, C Re
International Conference on Learning Representations, 2021
302021
Unique entity estimation with application to the Syrian conflict
B Chen, A Shrivastava, RC Steorts
The Annals of Applied Statistics 12 (2), 1039-1067, 2018
302018
Sub-linear privacy-preserving near-neighbor search
MS Riazi, B Chen, A Shrivastava, D Wallach, F Koushanfar
arXiv preprint arXiv:1612.01835, 2016
24*2016
Densified winner take all (WTA) hashing for sparse datasets
B Chen, A Shrivastava
Uncertainty in artificial intelligence, 2018
19*2018
Scatterbrain: Unifying sparse and low-rank attention
B Chen, T Dao, E Winsor, Z Song, A Rudra, C Ré
Advances in Neural Information Processing Systems 34, 17413-17426, 2021
15*2021
Pixelated butterfly: Simple and efficient sparse training for neural network models
B Chen, T Dao, K Liang, J Yang, Z Song, A Rudra, C Re
arXiv preprint arXiv:2112.00029, 2021
152021
Locality sensitive teaching
Z Xu, B Chen, C Li, W Liu, L Song, Y Lin, A Shrivastava
Advances in Neural Information Processing Systems 34, 18049-18062, 2021
102021
Monarch: Expressive structured matrices for efficient and accurate training
T Dao, B Chen, NS Sohoni, A Desai, M Poli, J Grogan, A Liu, A Rao, ...
International Conference on Machine Learning, 4690-4721, 2022
92022
BearLoc: a composable distributed framework for indoor localization systems
K Chen, S He, B Chen, J Kolb, RH Katz, DE Culler
Proceedings of the 2015 Workshop on IoT challenges in Mobile and Industrial …, 2015
62015
HALOS: Hashing Large Output Space for Cheap Inference
Z Liu, Z Xu, A Ji, J Zhang, J Li, B Chen, A Shrivastava
Proceedings of Machine Learning and Systems 4, 110-125, 2022
5*2022
A tale of two efficient and informative negative sampling distributions
S Daghaghi, T Medini, N Meisburger, B Chen, M Zhao, A Shrivastava
International Conference on Machine Learning, 2319-2329, 2021
52021
SOLAR: Sparse Orthogonal Learned and Random Embeddings
T Medini, B Chen, A Shrivastava
International Conference on Learning Representations, 2021
42021
Decentralized training of foundation models in heterogeneous environments
B Yuan, Y He, JQ Davis, T Zhang, T Dao, B Chen, P Liang, C Re, C Zhang
arXiv preprint arXiv:2206.01288, 2022
32022
Fine-tuning language models over slow networks using activation compression with guarantees
J Wang, B Yuan, L Rimanic, Y He, T Dao, B Chen, C Re, C Zhang
arXiv preprint arXiv:2206.01299, 2022
22022
Satellite Images and Deep Learning to Identify Discrepancy in Mailing Addresses with Applications to Census 2020 in Houston
Z Xu, AB Ji, A Woods, B Chen, A Shrivastava
JSM Proceedings, Statistical Learning and Data Science Section. American …, 2021
12021
Fine-tuning Language Models over Slow Networks using Activation Quantization with Guarantees.
J Wang, B Yuan, L Rimanic, Y He, T Dao, B Chen, C Ré, Z Ce
Proceedings of the Thirty-sixth Conference on Neural Information Processing …, 2022
2022
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