Прати
Kristjan Greenewald
Kristjan Greenewald
Research Scientist, MIT-IBM Watson AI Lab, IBM Research
Верификована је имејл адреса на ibm.com - Почетна страница
Наслов
Навело
Навело
Година
Bayesian nonparametric federated learning of neural networks
M Yurochkin, M Agarwal, S Ghosh, K Greenewald, N Hoang, Y Khazaeni
International conference on machine learning, 7252-7261, 2019
8782019
The computational limits of deep learning
NC Thompson, K Greenewald, K Lee, GF Manso
arXiv preprint arXiv:2007.05558 10, 2020
8272020
Personalized heartsteps: A reinforcement learning algorithm for optimizing physical activity
P Liao, K Greenewald, P Klasnja, S Murphy
Proceedings of the ACM on interactive, mobile, wearable and ubiquitous …, 2020
2052020
Deep learning's diminishing returns: The cost of improvement is becoming unsustainable
NC Thompson, K Greenewald, K Lee, GF Manso
ieee Spectrum 58 (10), 50-55, 2021
1812021
Estimating information flow in deep neural networks
Z Goldfeld, E Berg, K Greenewald, I Melnyk, N Nguyen, B Kingsbury, ...
arXiv preprint arXiv:1810.05728, 2018
1762018
Convergence of smoothed empirical measures with applications to entropy estimation
Z Goldfeld, K Greenewald, J Niles-Weed, Y Polyanskiy
IEEE Transactions on Information Theory 66 (7), 4368-4391, 2020
86*2020
Action centered contextual bandits
K Greenewald, A Tewari, S Murphy, P Klasnja
Advances in neural information processing systems 30, 2017
642017
Identifiability guarantees for causal disentanglement from soft interventions
J Zhang, K Greenewald, C Squires, A Srivastava, K Shanmugam, C Uhler
Advances in Neural Information Processing Systems 36, 50254-50292, 2023
622023
Tensor graphical lasso (TeraLasso)
K Greenewald, S Zhou, A Hero III
Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2019
552019
Sliced mutual information: A scalable measure of statistical dependence
Z Goldfeld, K Greenewald
Advances in Neural Information Processing Systems 34, 17567-17578, 2021
502021
Sample efficient active learning of causal trees
K Greenewald, D Katz, K Shanmugam, S Magliacane, M Kocaoglu, ...
Advances in Neural Information Processing Systems 32, 2019
472019
Robust kronecker product PCA for spatio-temporal covariance estimation
K Greenewald, AO Hero
IEEE Transactions on Signal Processing 63 (23), 6368-6378, 2015
472015
Gaussian-smoothed optimal transport: Metric structure and statistical efficiency
Z Goldfeld, K Greenewald
International Conference on Artificial Intelligence and Statistics, 3327-3337, 2020
392020
Statistical model aggregation via parameter matching
M Yurochkin, M Agarwal, S Ghosh, K Greenewald, N Hoang
Advances in neural information processing systems 32, 2019
392019
Active structure learning of causal DAGs via directed clique trees
C Squires, S Magliacane, K Greenewald, D Katz, M Kocaoglu, ...
Advances in Neural Information Processing Systems 33, 21500-21511, 2020
382020
Improving convergence of divergence functional ensemble estimators
KR Moon, K Sricharan, K Greenewald, AO Hero
2016 IEEE International Symposium on Information Theory (ISIT), 1133-1137, 2016
342016
Measuring generalization with optimal transport
CY Chuang, Y Mroueh, K Greenewald, A Torralba, S Jegelka
Advances in neural information processing systems 34, 8294-8306, 2021
322021
Asymmetry in low-rank adapters of foundation models
J Zhu, K Greenewald, K Nadjahi, HSDO Borde, RB Gabrielsson, ...
arXiv preprint arXiv:2402.16842, 2024
292024
Ensemble estimation of information divergence
KR Moon, K Sricharan, K Greenewald, AO Hero III
Entropy 20 (8), 560, 2018
292018
Kronecker sum decompositions of space-time data
K Greenewald, T Tsiligkaridis, AO Hero
2013 5th IEEE International Workshop on Computational Advances in Multi …, 2013
282013
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