Άρθρα με εντολές δημόσιας πρόσβασης - Daniel HsuΜάθετε περισσότερα
Διαθέσιμο κάπου: 51
Reconciling modern machine-learning practice and the classical bias–variance trade-off
M Belkin, D Hsu, S Ma, S Mandal
Proceedings of the National Academy of Sciences 116 (32), 15849-15854, 2019
Εντολές: US National Science Foundation
Certified robustness to adversarial examples with differential privacy
M Lecuyer, V Atlidakis, R Geambasu, D Hsu, S Jana
arXiv preprint arXiv:1802.03471, 2018
Εντολές: US National Science Foundation, US Department of Defense
Two models of double descent for weak features
M Belkin, D Hsu, J Xu
SIAM Journal on Mathematics of Data Science 2 (4), 1167-1180, 2020
Εντολές: US National Science Foundation
Overfitting or perfect fitting? risk bounds for classification and regression rules that interpolate
M Belkin, DJ Hsu, P Mitra
Advances in neural information processing systems 31, 2018
Εντολές: US National Science Foundation
Classification vs regression in overparameterized regimes: Does the loss function matter?
V Muthukumar, A Narang, V Subramanian, M Belkin, D Hsu, A Sahai
Journal of Machine Learning Research 22 (222), 1-69, 2021
Εντολές: US National Science Foundation
Non-Gaussian information from weak lensing data via deep learning
A Gupta, JMZ Matilla, D Hsu, Z Haiman
Physical Review D 97 (10), 103515, 2018
Εντολές: US National Science Foundation
Contrastive learning, multi-view redundancy, and linear models
C Tosh, A Krishnamurthy, D Hsu
Algorithmic Learning Theory, 1179-1206, 2021
Εντολές: US National Science Foundation
Global analysis of expectation maximization for mixtures of two gaussians
J Xu, DJ Hsu, A Maleki
Advances in Neural Information Processing Systems 29, 2016
Εντολές: US National Science Foundation
Sample complexity bounds for differentially private learning
K Chaudhuri, D Hsu
COLT, LNCS, page To appear. Springer, 2011
Εντολές: US National Institutes of Health
Weak lensing cosmology with convolutional neural networks on noisy data
D Ribli, BÁ Pataki, JM Zorrilla Matilla, D Hsu, Z Haiman, I Csabai
Monthly Notices of the Royal Astronomical Society 490 (2), 1843-1860, 2019
Εντολές: US National Aeronautics and Space Administration, National Office for …
Linear regression without correspondence
DJ Hsu, K Shi, X Sun
Advances in Neural Information Processing Systems 30, 2017
Εντολές: US National Science Foundation
Kernel ridge vs. principal component regression: Minimax bounds and the qualification of regularization operators
LH Dicker, DP Foster, D Hsu
Εντολές: US National Science Foundation
Contrastive estimation reveals topic posterior information to linear models
C Tosh, A Krishnamurthy, D Hsu
Journal of Machine Learning Research 22 (281), 1-31, 2021
Εντολές: US National Science Foundation
Using a machine learning approach to determine the space group of a structure from the atomic pair distribution function
CH Liu, Y Tao, D Hsu, Q Du, SJL Billinge
Acta Crystallographica Section A: Foundations and Advances 75 (4), 633-643, 2019
Εντολές: US National Science Foundation, US Department of Energy
Leveraged volume sampling for linear regression
M Derezinski, MKK Warmuth, DJ Hsu
Advances in Neural Information Processing Systems 31, 2018
Εντολές: US National Science Foundation
Ensuring fairness beyond the training data
D Mandal, S Deng, S Jana, J Wing, DJ Hsu
Advances in neural information processing systems 33, 18445-18456, 2020
Εντολές: US National Science Foundation
Convergence rates for differentially private statistical estimation
K Chaudhuri, D Hsu
Proceedings of the... International Conference on Machine Learning …, 2012
Εντολές: US National Institutes of Health
Discovering foodborne illness in online restaurant reviews
T Effland, A Lawson, S Balter, K Devinney, V Reddy, HN Waechter, ...
Journal of the American Medical Informatics Association 25 (12), 1586-1592, 2018
Εντολές: US National Science Foundation
Bayesian decision-making under misspecified priors with applications to meta-learning
M Simchowitz, C Tosh, A Krishnamurthy, DJ Hsu, T Lykouris, M Dudik, ...
Advances in Neural Information Processing Systems 34, 26382-26394, 2021
Εντολές: US National Science Foundation
Teaching a black-box learner
S Dasgupta, D Hsu, S Poulis, X Zhu
International Conference on Machine Learning, 1547-1555, 2019
Εντολές: US National Science Foundation
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