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Christos Thrampoulidis
Christos Thrampoulidis
Assistant Professor, University of British Columbia, ECE Department
Verified email at ucsb.edu - Homepage
Title
Cited by
Cited by
Year
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
2662018
Regularized linear regression: A precise analysis of the estimation error
C Thrampoulidis, S Oymak, B Hassibi
Conference on Learning Theory, 1683-1709, 2015
225*2015
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
1822022
The squared-error of generalized lasso: A precise analysis
S Oymak, C Thrampoulidis, B Hassibi
2013 51st Annual Allerton Conference on Communication, Control, and …, 2013
1452013
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
1242015
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
1222015
Linear stochastic bandits under safety constraints
S Amani, M Alizadeh, C Thrampoulidis
Advances in Neural Information Processing Systems, 9256-9266, 2019
1172019
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
882018
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
842018
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
812021
Analytic study of double descent in binary classification: The impact of loss
GR Kini, C Thrampoulidis
2020 IEEE International Symposium on Information Theory (ISIT), 2527-2532, 2020
722020
Using unknown occluders to recover hidden scenes
AB Yedidia, M Baradad, C Thrampoulidis, WT Freeman, GW Wornell
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
692019
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
662018
Fednest: Federated bilevel, minimax, and compositional optimization
DA Tarzanagh, M Li, C Thrampoulidis, S Oymak
International Conference on Machine Learning, 21146-21179, 2022
622022
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
542021
Phase retrieval via linear programming: Fundamental limits and algorithmic improvements
O Dhifallah, C Thrampoulidis, YM Lu
2017 55th Annual Allerton Conference on Communication, Control, and …, 2017
532017
Imbalance trouble: Revisiting neural-collapse geometry
C Thrampoulidis, GR Kini, V Vakilian, T Behnia
Advances in Neural Information Processing Systems 35, 27225-27238, 2022
522022
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
522019
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
512021
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
512020
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