Maximilian Lam
Maximilian Lam
Verified email at g.harvard.edu - Homepage
Title
Cited by
Cited by
Year
Speeding up distributed machine learning using codes
K Lee, M Lam, R Pedarsani, D Papailiopoulos, K Ramchandran
IEEE Transactions on Information Theory 64 (3), 1514-1529, 2017
3942017
Gradient diversity: a key ingredient for scalable distributed learning
D Yin, A Pananjady, M Lam, D Papailiopoulos, K Ramchandran, P Bartlett
Proceedings of the 21th International Conference on Artificial Intelligence …, 2017
53*2017
Cyclades: Conflict-free asynchronous machine learning
X Pan, M Lam, S Tu, D Papailiopoulos, C Zhang, MI Jordan, ...
Advances in Neural Information Processing Systems, 2568-2576, 2016
512016
Word2bits-quantized word vectors
M Lam
arXiv preprint arXiv:1803.05651, 2018
172018
Cataloging the visible universe through Bayesian inference in Julia at petascale
J Regier, K Fischer, K Pamnany, A Noack, J Revels, M Lam, S Howard, ...
Journal of Parallel and Distributed Computing 127, 89-104, 2019
11*2019
Benchmarking TinyML Systems: Challenges and Direction
CR Banbury, VJ Reddi, M Lam, W Fu, A Fazel, J Holleman, X Huang, ...
arXiv preprint arXiv:2003.04821, 2020
92020
Exploring the Utility of Developer Exhaust
J Zhang, M Lam, S Wang, P Varma, L Nardi, K Olukotun, C Ré
Proceedings of the Second Workshop on Data Management for End-To-End Machine …, 2018
12018
Quantized Neural Network Inference with Precision Batching
M Lam, Z Yedidia, C Banbury, VJ Reddi
arXiv preprint arXiv:2003.00822, 2020
2020
Quantized Reinforcement Learning (QUARL)
S Krishnan, S Chitlangia, M Lam, Z Wan, A Faust, VJ Reddi
arXiv preprint arXiv:1910.01055, 2019
2019
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Articles 1–9