Artikelen met mandaten voor openbare toegang - Christos ThrampoulidisMeer informatie
Nergens beschikbaar: 3
Benign overfitting in binary classification of gaussian mixtures
K Wang, C Thrampoulidis
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
Mandaten: US National Science Foundation
Phase transitions for one-vs-one and one-vs-all linear separability in multiclass gaussian mixtures
GR Kini, C Thrampoulidis
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
Mandaten: US National Science Foundation
On Weighted Cross-Entropy for Label-Imbalanced Separable Data: An Algorithmic-Stability Study
P Deora, C Thrampoulidis
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023
Mandaten: US National Science Foundation, Natural Sciences and Engineering Research …
Ergens beschikbaar: 44
Precise Error Analysis of Regularized -Estimators in High Dimensions
C Thrampoulidis, E Abbasi, B Hassibi
IEEE Transactions on Information Theory 64 (8), 5592-5628, 2018
Mandaten: US National Science Foundation, US Department of Defense, US National …
A model of double descent for high-dimensional binary linear classification
Z Deng, A Kammoun, C Thrampoulidis
Information and Inference: A Journal of the IMA 11 (2), 435-495, 2022
Mandaten: US National Science Foundation
Optimal placement of distributed energy storage in power networks
C Thrampoulidis, S Bose, B Hassibi
IEEE Transactions on Automatic Control 61 (2), 416-429, 2015
Mandaten: US Department of Energy
Lasso with non-linear measurements is equivalent to one with linear measurements
C Thrampoulidis, E Abbasi, B Hassibi
Advances in Neural Information Processing Systems 28, 2015
Mandaten: US National Aeronautics and Space Administration
Linear stochastic bandits under safety constraints
S Amani, M Alizadeh, C Thrampoulidis
Advances in Neural Information Processing Systems, 9256-9266, 2019
Mandaten: US National Science Foundation
Label-imbalanced and group-sensitive classification under overparameterization
GR Kini, O Paraskevas, S Oymak, C Thrampoulidis
Advances in Neural Information Processing Systems 34, 18970-18983, 2021
Mandaten: US National Science Foundation, Natural Sciences and Engineering Research …
Revealing hidden scenes by photon-efficient occlusion-based opportunistic active imaging
F Xu, G Shulkind, C Thrampoulidis, JH Shapiro, A Torralba, FNC Wong, ...
Optics express 26 (8), 9945-9962, 2018
Mandaten: US Department of Defense
Exploiting occlusion in non-line-of-sight active imaging
C Thrampoulidis, G Shulkind, F Xu, WT Freeman, JH Shapiro, A Torralba, ...
IEEE Transactions on Computational Imaging 4 (3), 419-431, 2018
Mandaten: US National Science Foundation, US Department of Defense
Fednest: Federated bilevel, minimax, and compositional optimization
DA Tarzanagh, M Li, C Thrampoulidis, S Oymak
International Conference on Machine Learning, 21146-21179, 2022
Mandaten: US National Science Foundation, US Department of Defense, Natural Sciences …
Symbol error rate performance of box-relaxation decoders in massive mimo
C Thrampoulidis, W Xu, B Hassibi
IEEE Transactions on Signal Processing 66 (13), 3377-3392, 2018
Mandaten: US National Science Foundation, US Department of Defense
Imbalance trouble: Revisiting neural-collapse geometry
C Thrampoulidis, GR Kini, V Vakilian, T Behnia
Advances in Neural Information Processing Systems 35, 27225-27238, 2022
Mandaten: Natural Sciences and Engineering Research Council of Canada
Autobalance: Optimized loss functions for imbalanced data
M Li, X Zhang, C Thrampoulidis, J Chen, S Oymak
Advances in Neural Information Processing Systems 34, 3163-3177, 2021
Mandaten: US National Science Foundation, US Department of Defense
Benign overfitting in multiclass classification: All roads lead to interpolation
K Wang, V Muthukumar, C Thrampoulidis
Advances in Neural Information Processing Systems 34, 24164-24179, 2021
Mandaten: US National Science Foundation
Provable benefits of overparameterization in model compression: From double descent to pruning neural networks
X Chang, Y Li, S Oymak, C Thrampoulidis
Proceedings of the AAAI Conference on Artificial Intelligence 35 (8), 6974-6983, 2021
Mandaten: US National Science Foundation
Improved bounds on Gaussian MAC and sparse regression via Gaussian inequalities
I Zadik, Y Polyanskiy, C Thrampoulidis
2019 IEEE International Symposium on Information Theory (ISIT), 430-434, 2019
Mandaten: US National Science Foundation
Theoretical insights into multiclass classification: A high-dimensional asymptotic view
C Thrampoulidis, S Oymak, M Soltanolkotabi
Advances in Neural Information Processing Systems 33, 8907-8920, 2020
Mandaten: US National Science Foundation, US Department of Defense
On the role of attention in prompt-tuning
S Oymak, AS Rawat, M Soltanolkotabi, C Thrampoulidis
International Conference on Machine Learning, 26724-26768, 2023
Mandaten: US National Science Foundation, US Department of Defense, Natural Sciences …
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