Krishna Pillutla
Krishna Pillutla
Adresse e-mail validée de cs.washington.edu - Page d'accueil
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A markov chain theory approach to characterizing the minimax optimality of stochastic gradient descent (for least squares)
P Jain, SM Kakade, R Kidambi, P Netrapalli, VK Pillutla, A Sidford
arXiv preprint arXiv:1710.09430, 2017
112017
Data driven resource allocation for distributed learning
T Dick, M Li, VK Pillutla, C White, N Balcan, A Smola
Artificial Intelligence and Statistics, 662-671, 2017
112017
A smoother way to train structured prediction models
VK Pillutla, V Roulet, SM Kakade, Z Harchaoui
Advances in Neural Information Processing Systems 31, 2018
82018
Reconstructing cancer drug response networks using multitask learning
M Ruffalo, P Stojanov, VK Pillutla, R Varma, Z Bar-Joseph
BMC systems biology 11 (1), 1-15, 2017
62017
On Skewed Multi-dimensional Distributions: the FusionRP Model, Algorithms, and Discoveries
VK Pillutla, Z Fang, P Devineni, C Faloutsos, D Koutra, J Tang
Proceedings of the 2016 SIAM International Conference on Data Mining, 783-791, 2016
32016
Data Driven Resource Allocation for Distributed Machine Learning
VK Pillutla
Carnegie Mellon University Pittsburgh, PA, 2015
2015
Distributed Machine Learning: Iterative Convex Optimization Methods
VKK Pillutla
Indian Institute of Technology Bombay Mumbai 400076, India, 2014
2014
MS Theses by Author
SP BANGARU, DY CHUNG, SJ HAN, W HE, J JIN, A KARANDIKAR, ...
HARCHOL-BALTER, Mor CMU-CS-15-141, CMU-CS-15-141R HARKES, Jan CMU-CS-15-115 HAUPTMANN, Alex CMU-CS-15-103 HE, Wangzi CMU-CS-15-129
W HU, L JIANG, K JOSHI, A KARANDIKAR, SD KLEE, A KOMURAVELLI, ...
Using Multi-task Learning to Predict Signaling and Regulatory Pathways
VK Pillutla, R Varma, P Stojanov
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