Ameet Talwalkar
Ameet Talwalkar
CMU and Determined AI
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Geciteerd door
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Foundations of Machine Learning
M Mohri, A Rostamizadeh, A Talwalkar
Cambridge, MA: MIT Press, 2018
Mllib: Machine learning in apache spark
X Meng, J Bradley, B Yavuz, E Sparks, S Venkataraman, D Liu, ...
The Journal of Machine Learning Research 17 (1), 1235-1241, 2016
Hyperband: A novel bandit-based approach to hyperparameter optimization
L Li, K Jamieson, G DeSalvo, A Rostamizadeh, A Talwalkar
arXiv preprint arXiv:1603.06560, 2016
Federated learning: Challenges, methods, and future directions
T Li, AK Sahu, A Talwalkar, V Smith
IEEE Signal Processing Magazine 37 (3), 50-60, 2020
A large-scale evaluation of computational protein function prediction
P Radivojac, WT Clark, TR Oron, AM Schnoes, T Wittkop, A Sokolov, ...
Nature methods 10 (3), 221-227, 2013
Federated multi-task learning
V Smith, CK Chiang, M Sanjabi, A Talwalkar
arXiv preprint arXiv:1705.10467, 2017
Federated optimization in heterogeneous networks
T Li, AK Sahu, M Zaheer, M Sanjabi, A Talwalkar, V Smith
arXiv preprint arXiv:1812.06127, 2018
MLbase: A Distributed Machine-learning System.
T Kraska, A Talwalkar, JC Duchi, R Griffith, MJ Franklin, MI Jordan
Cidr 1, 2-1, 2013
Sampling methods for the Nyström method
S Kumar, M Mohri, A Talwalkar
The Journal of Machine Learning Research 13 (1), 981-1006, 2012
A scalable bootstrap for massive data
A Kleiner, A Talwalkar, P Sarkar, MI Jordan
Journal of the Royal Statistical Society, Series B, 2013
Random search and reproducibility for neural architecture search
L Li, A Talwalkar
Uncertainty in artificial intelligence, 367-377, 2020
Non-stochastic best arm identification and hyperparameter optimization
K Jamieson, A Talwalkar
Artificial Intelligence and Statistics, 240-248, 2016
Leaf: A benchmark for federated settings
S Caldas, SMK Duddu, P Wu, T Li, J Konečný, HB McMahan, V Smith, ...
arXiv preprint arXiv:1812.01097, 2018
Large-scale manifold learning
A Talwalkar, S Kumar, H Rowley
2008 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2008
Divide-and-Conquer Matrix Factorization
LW Mackey, A Talwalkar, MI Jordan
NIPS, 1134-1142, 2011
MLI: An API for distributed machine learning
ER Sparks, A Talwalkar, V Smith, J Kottalam, X Pan, J Gonzalez, ...
2013 IEEE 13th International Conference on Data Mining, 1187-1192, 2013
Knowing when you're wrong: building fast and reliable approximate query processing systems
S Agarwal, H Milner, A Kleiner, A Talwalkar, M Jordan, S Madden, ...
Proceedings of the 2014 ACM SIGMOD international conference on Management of …, 2014
Joint link prediction and attribute inference using a social-attribute network
NZ Gong, A Talwalkar, L Mackey, L Huang, ECR Shin, E Stefanov, ER Shi, ...
ACM Transactions on Intelligent Systems and Technology (TIST) 5 (2), 27, 2014
Ensemble nystrom method
S Kumar, M Mohri, A Talwalkar
Neural Information Processing Systems, 2009
The big data bootstrap
A Kleiner, A Talwalkar, P Sarkar, M Jordan
International Conference on Machine Learning (ICML), 2012
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