Sotabase

Career

· Associate Professor, University of British Columbia (UBC)2021–
· PostDoc Position, California Institute of Technology2016–2016
· PostDoc Position, Massachusetts Institute of Technology2016–
· Intern, iCelero2013–2013
· PhD Student, California Institute of Technology2012–
· Erasmus Program, Aalto University School of Science and Technology2009–2009
· Undergraduate Student, University of Patras2006–2011
· Adjunct Faculty, University of California, Santa Barbara
· Assistant Professor, University of California, Santa Barbara

Publications (53)

Precise Error Analysis of Regularized $M$ -Estimators in High Dimensions
IEEE Transactions on Information Theory · 2016
231
cited
Regularized Linear Regression: A Precise Analysis of the Estimation Error
Annual Conference Computational Learning Theory · 2015
191
cited
The squared-error of generalized LASSO: A precise analysis
Allerton Conference on Communication, Control, and Computing · 2013
133
cited
The LASSO with Non-linear Measurements is Equivalent to One With Linear Measurements
arXiv.org · 2015
120
cited
Label-Imbalanced and Group-Sensitive Classification under Overparameterization
Neural Information Processing Systems · 2021
113
cited
Optimal Placement of Distributed Energy Storage in Power Networks
IEEE Transactions on Automatic Control · 2013
106
cited
FEDNEST: Federated Bilevel, Minimax, and Compositional Optimization
International Conference on Machine Learning · 2022
85
cited
AutoBalance: Optimized Loss Functions for Imbalanced Data
Neural Information Processing Systems · 2022
82
cited
Revealing hidden scenes by photon-efficient occlusion-based opportunistic active imaging.
Optics Express · 2018
71
cited
Exploiting Occlusion in Non-Line-of-Sight Active Imaging
IEEE Transactions on Computational Imaging · 2017
70
cited
On the Role of Attention in Prompt-tuning
International Conference on Machine Learning · 2023
63
cited
Using Unknown Occluders to Recover Hidden Scenes
Computer Vision and Pattern Recognition · 2019
63
cited
Transformers as Support Vector Machines
arXiv.org · 2023
62
cited
Provable Benefits of Overparameterization in Model Compression: From Double Descent to Pruning Neural Networks
AAAI Conference on Artificial Intelligence · 2020
58
cited
Symbol Error Rate Performance of Box-Relaxation Decoders in Massive MIMO
IEEE Transactions on Signal Processing · 2017
55
cited
A Tight Version of the Gaussian min-max theorem in the Presence of Convexity
arXiv.org · 2014
46
cited
Theoretical Insights Into Multiclass Classification: A High-dimensional Asymptotic View
Neural Information Processing Systems · 2020
45
cited
The Generalized Lasso for Sub-Gaussian Measurements With Dithered Quantization
IEEE Transactions on Information Theory · 2018
35
cited
Ber analysis of the box relaxation for BPSK signal recovery
IEEE International Conference on Acoustics, Speech, and Signal Processing · 2015
31
cited
Asymptotically exact error analysis for the generalized equation-LASSO
International Symposium on Information Theory · 2015
26
cited
Sotabase
Christos Thrampoulidis | Researcher Profile | Sotabase | Sotabase