Gintare Karolina Dziugaite
Gintare Karolina Dziugaite
Research Scientist, Element AI
Verified email at elementai.com - Homepage
Title
Cited by
Cited by
Year
Training generative neural networks via maximum mean discrepancy optimization
GK Dziugaite, DM Roy, Z Ghahramani
arXiv preprint arXiv:1505.03906, 2015
3162015
Computing nonvacuous generalization bounds for deep (stochastic) neural networks with many more parameters than training data
GK Dziugaite, DM Roy
arXiv preprint arXiv:1703.11008, 2017
2372017
A study of the effect of jpg compression on adversarial images
GK Dziugaite, Z Ghahramani, DM Roy
arXiv preprint arXiv:1608.00853, 2016
1582016
Neural network matrix factorization
GK Dziugaite, DM Roy
arXiv preprint arXiv:1511.06443, 2015
84*2015
Data-dependent PAC-Bayes priors via differential privacy
GK Dziugaite, DM Roy
Advances in Neural Information Processing Systems, 8430-8441, 2018
452018
The lottery ticket hypothesis at scale
J Frankle, GK Dziugaite, DM Roy, M Carbin
arXiv preprint arXiv:1903.01611 8, 2019
41*2019
Entropy-SGD optimizes the prior of a PAC-Bayes bound: Data-dependent PAC-Bayes priors via differential privacy
GK Dziugaite, DM Roy
28*2018
Requiem for the max rule?
WJ Ma, S Shen, G Dziugaite, R van den Berg
Vision Research 116, 179-193, 2015
252015
Information-Theoretic Generalization Bounds for SGLD via Data-Dependent Estimates
J Negrea, M Haghifam, GK Dziugaite, A Khisti, DM Roy
Advances in Neural Information Processing Systems, 11015-11025, 2019
172019
Roy, and Michael Carbin. The lottery ticket hypothesis at scale
J Frankle, GK Dziugaite, M Daniel
arXiv preprint arXiv:1903.01611 2, 3, 2019
152019
Linear mode connectivity and the lottery ticket hypothesis
J Frankle, GK Dziugaite, DM Roy, M Carbin
arXiv preprint arXiv:1912.05671, 2019
132019
Stabilizing the lottery ticket hypothesis
J Frankle, GK Dziugaite, DM Roy, M Carbin
arXiv preprint arXiv:1903.01611, 2019
132019
Roy, and Michael Carbin. 2019. Stabilizing the lottery ticket hypothesis
J Frankle, GK Dziugaite, M Daniel
arXiv preprint arXiv:1903.01611, 0
8
Sharpened Generalization Bounds based on Conditional Mutual Information and an Application to Noisy, Iterative Algorithms
M Haghifam, J Negrea, A Khisti, DM Roy, GK Dziugaite
arXiv preprint arXiv:2004.12983, 2020
42020
Revisiting Generalization for Deep Learning: PAC-Bayes, Flat Minima, and Generative Models
GK Dziugaite
University of Cambridge, 2020
32020
On the role of data in PAC-Bayes bounds
GK Dziugaite, K Hsu, W Gharbieh, DM Roy
arXiv preprint arXiv:2006.10929, 2020
32020
RelatIF: Identifying Explanatory Training Examples via Relative Influence
E Barshan, ME Brunet, GK Dziugaite
arXiv preprint arXiv:2003.11630, 2020
32020
Stochastic neural network with kronecker flow
CW Huang, A Touati, P Vincent, GK Dziugaite, A Lacoste, A Courville
International Conference on Artificial Intelligence and Statistics, 4184-4194, 2020
12020
In Defense of Uniform Convergence: Generalization via derandomization with an application to interpolating predictors
J Negrea, GK Dziugaite, DM Roy
arXiv preprint arXiv:1912.04265, 2019
12019
On the Information Complexity of Proper Learners for VC Classes in the Realizable Case
M Haghifam, GK Dziugaite, S Moran, DM Roy
arXiv preprint arXiv:2011.02970, 2020
2020
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