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Christos Thrampoulidis
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2020 – today
- 2024
- [j13]Hossein Taheri, Christos Thrampoulidis:
Generalization and Stability of Interpolating Neural Networks with Minimal Width. J. Mach. Learn. Res. 25: 156:1-156:41 (2024) - [j12]Puneesh Deora, Rouzbeh Ghaderi, Hossein Taheri, Christos Thrampoulidis:
On the Optimization and Generalization of Multi-head Attention. Trans. Mach. Learn. Res. 2024 (2024) - [c72]Xuechen Zhang, Mingchen Li, Jiasi Chen, Christos Thrampoulidis, Samet Oymak:
Class-Attribute Priors: Adapting Optimization to Heterogeneity and Fairness Objective. AAAI 2024: 16890-16898 - [c71]Jaidev Gill, Vala Vakilian, Christos Thrampoulidis:
Engineering the Neural Collapse Geometry of Supervised-Contrastive Loss (Student Abstract). AAAI 2024: 23503-23505 - [c70]Wenlong Deng, Christos Thrampoulidis, Xiaoxiao Li:
Unlocking the Potential of Prompt-Tuning in Bridging Generalized and Personalized Federated Learning. CVPR 2024: 6087-6097 - [c69]Jaidev Gill, Vala Vakilian, Christos Thrampoulidis:
Engineering the Neural Collapse Geometry of Supervised-Contrastive Loss. ICASSP 2024: 7115-7119 - [c68]Sadegh Mahdavi, Renjie Liao, Christos Thrampoulidis:
Revisiting the Equivalence of In-Context Learning and Gradient Descent: The Impact of Data Distribution. ICASSP 2024: 7410-7414 - [c67]Puneesh Deora, Bhavya Vasudeva, Vatsal Sharan, Christos Thrampoulidis:
Fast Test Error Rates for Gradient-Based Algorithms on Separable Data. ICASSP 2024: 7440-7444 - [c66]Ganesh Ramachandra Kini, Vala Vakilian, Tina Behnia, Jaidev Gill, Christos Thrampoulidis:
Symmetric Neural-Collapse Representations with Supervised Contrastive Loss: The Impact of ReLU and Batching. ICLR 2024 - [c65]Sadegh Mahdavi, Renjie Liao, Christos Thrampoulidis:
Memorization Capacity of Multi-Head Attention in Transformers. ICLR 2024 - [c64]Tina Behnia, Christos Thrampoulidis:
Supervised Contrastive Representation Learning: Landscape Analysis with Unconstrained Features. ISIT 2024: 575-580 - [i67]Xuechen Zhang, Mingchen Li, Jiasi Chen, Christos Thrampoulidis, Samet Oymak:
Class-attribute Priors: Adapting Optimization to Heterogeneity and Fairness Objective. CoRR abs/2401.14343 (2024) - [i66]Bhavya Vasudeva, Puneesh Deora, Christos Thrampoulidis:
Implicit Bias and Fast Convergence Rates for Self-attention. CoRR abs/2402.05738 (2024) - [i65]Wenlong Deng, Blair Chen, Xiaoxiao Li, Christos Thrampoulidis:
Content Conditional Debiasing for Fair Text Embedding. CoRR abs/2402.14208 (2024) - [i64]Christos Thrampoulidis:
Implicit Bias of Next-Token Prediction. CoRR abs/2402.18551 (2024) - [i63]Tina Behnia, Christos Thrampoulidis:
Supervised Contrastive Representation Learning: Landscape Analysis with Unconstrained Features. CoRR abs/2402.18884 (2024) - [i62]Liam Madden, Curtis Fox, Christos Thrampoulidis:
Upper and lower memory capacity bounds of transformers for next-token prediction. CoRR abs/2405.13718 (2024) - [i61]Yize Zhao, Tina Behnia, Vala Vakilian, Christos Thrampoulidis:
Implicit Geometry of Next-token Prediction: From Language Sparsity Patterns to Model Representations. CoRR abs/2408.15417 (2024) - [i60]Wenlong Deng, Yize Zhao, Vala Vakilian, Minghui Chen, Xiaoxiao Li, Christos Thrampoulidis:
DARE the Extreme: Revisiting Delta-Parameter Pruning For Fine-Tuned Models. CoRR abs/2410.09344 (2024) - [i59]Hossein Taheri, Christos Thrampoulidis, Arya Mazumdar:
Sharper Guarantees for Learning Neural Network Classifiers with Gradient Methods. CoRR abs/2410.10024 (2024) - 2023
- [j11]Ke Wang
, Vidya Muthukumar, Christos Thrampoulidis:
Benign Overfitting in Multiclass Classification: All Roads Lead to Interpolation. IEEE Trans. Inf. Theory 69(12): 7909-7952 (2023) - [j10]Sadegh Mahdavi, Kevin Swersky, Thomas Kipf, Milad Hashemi, Christos Thrampoulidis, Renjie Liao:
Towards Better Out-of-Distribution Generalization of Neural Algorithmic Reasoning Tasks. Trans. Mach. Learn. Res. 2023 (2023) - [c63]Hossein Taheri, Christos Thrampoulidis:
Fast Convergence in Learning Two-Layer Neural Networks with Separable Data. AAAI 2023: 9944-9952 - [c62]Hossein Taheri, Christos Thrampoulidis:
On Generalization of Decentralized Learning with Separable Data. AISTATS 2023: 4917-4945 - [c61]Tina Behnia, Ganesh Ramachandra Kini, Vala Vakilian, Christos Thrampoulidis:
On the Implicit Geometry of Cross-Entropy Parameterizations for Label-Imbalanced Data. AISTATS 2023: 10815-10838 - [c60]Puneesh Deora, Christos Thrampoulidis:
On Weighted Cross-Entropy for Label-Imbalanced Separable Data: An Algorithmic-Stability Study. ICASSP 2023: 1-5 - [c59]Samet Oymak, Ankit Singh Rawat, Mahdi Soltanolkotabi
On the Role of Attention in Prompt-tuning. ICML 2023: 26724-26768 - [c58]Chen Fan, Gaspard Choné-Ducasse, Mark Schmidt, Christos Thrampoulidis:
BiSLS/SPS: Auto-tune Step Sizes for Stable Bi-level Optimization. NeurIPS 2023 - [c57]Chen Fan, Christos Thrampoulidis, Mark Schmidt:
Fast Convergence of Random Reshuffling Under Over-Parameterization and the Polyak-Łojasiewicz Condition. ECML/PKDD (4) 2023: 301-315 - [i58]Hossein Taheri, Christos Thrampoulidis:
Generalization and Stability of Interpolating Neural Networks with Minimal Width. CoRR abs/2302.09235 (2023) - [i57]Tina Behnia, Ganesh Ramachandra Kini, Vala Vakilian, Christos Thrampoulidis:
On the Implicit Geometry of Cross-Entropy Parameterizations for Label-Imbalanced Data. CoRR abs/2303.07608 (2023) - [i56]Chen Fan, Christos Thrampoulidis, Mark Schmidt:
Fast Convergence of Random Reshuffling under Over-Parameterization and the Polyak-Łojasiewicz Condition. CoRR abs/2304.00459 (2023) - [i55]Hossein Taheri, Christos Thrampoulidis:
Fast Convergence in Learning Two-Layer Neural Networks with Separable Data. CoRR abs/2305.13471 (2023) - [i54]Chen Fan, Gaspard Choné-Ducasse, Mark Schmidt, Christos Thrampoulidis:
BiSLS/SPS: Auto-tune Step Sizes for Stable Bi-level Optimization. CoRR abs/2305.18666 (2023) - [i53]Sadegh Mahdavi, Renjie Liao, Christos Thrampoulidis:
Memorization Capacity of Multi-Head Attention in Transformers. CoRR abs/2306.02010 (2023) - [i52]Samet Oymak, Ankit Singh Rawat, Mahdi Soltanolkotabi
On the Role of Attention in Prompt-tuning. CoRR abs/2306.03435 (2023) - [i51]Ganesh Ramachandra Kini, Vala Vakilian, Tina Behnia, Jaidev Gill, Christos Thrampoulidis:
Supervised-Contrastive Loss Learns Orthogonal Frames and Batching Matters. CoRR abs/2306.07960 (2023) - [i50]Liam Madden, Christos Thrampoulidis:
Memory capacity of two layer neural networks with smooth activations. CoRR abs/2308.02001 (2023) - [i49]Davoud Ataee Tarzanagh, Yingcong Li, Christos Thrampoulidis, Samet Oymak:
Transformers as Support Vector Machines. CoRR abs/2308.16898 (2023) - [i48]Jaidev Gill, Vala Vakilian, Christos Thrampoulidis:
Engineering the Neural Collapse Geometry of Supervised-Contrastive Loss. CoRR abs/2310.00893 (2023) - [i47]Puneesh Deora, Rouzbeh Ghaderi, Hossein Taheri, Christos Thrampoulidis:
On the Optimization and Generalization of Multi-head Attention. CoRR abs/2310.12680 (2023) - [i46]Wenlong Deng, Christos Thrampoulidis, Xiaoxiao Li:
Heterogeneous Federated Learning with Group-Aware Prompt Tuning. CoRR abs/2310.18285 (2023) - 2022
- [j9]Marco Mondelli, Christos Thrampoulidis, Ramji Venkataramanan:
Optimal Combination of Linear and Spectral Estimators for Generalized Linear Models. Found. Comput. Math. 22(5): 1513-1566 (2022) - [j8]Ke Wang
Binary Classification of Gaussian Mixtures: Abundance of Support Vectors, Benign Overfitting, and Regularization. SIAM J. Math. Data Sci. 4(1): 260-284 (2022) - [c56]Davoud Ataee Tarzanagh, Mingchen Li, Christos Thrampoulidis, Samet Oymak:
FedNest: Federated Bilevel, Minimax, and Compositional Optimization. ICML 2022: 21146-21179 - [c55]Tina Behnia, Ke Wang, Christos Thrampoulidis:
On how to avoid exacerbating spurious correlations when models are overparameterized. ISIT 2022: 121-126 - [c54]Hossein Taheri, Ramtin Pedarsani, Christos Thrampoulidis:
Asymptotic Behavior of Adversarial Training in Binary Linear Classification. ISIT 2022: 127-132 - [c53]Ahmadreza Moradipari, Mohammad Ghavamzadeh, Taha Rajabzadeh, Christos Thrampoulidis, Mahnoosh Alizadeh:
Multi-Environment Meta-Learning in Stochastic Linear Bandits. ISIT 2022: 1659-1664 - [c52]Haoyuan Sun, Kwangjun Ahn, Christos Thrampoulidis, Navid Azizan:
Mirror Descent Maximizes Generalized Margin and Can Be Implemented Efficiently. NeurIPS 2022 - [c51]Christos Thrampoulidis, Ganesh Ramachandra Kini, Vala Vakilian, Tina Behnia:
Imbalance Trouble: Revisiting Neural-Collapse Geometry. NeurIPS 2022 - [i45]Mingchen Li, Xuechen Zhang, Christos Thrampoulidis, Jiasi Chen, Samet Oymak:
AutoBalance: Optimized Loss Functions for Imbalanced Data. CoRR abs/2201.01212 (2022) - [i44]Davoud Ataee Tarzanagh, Mingchen Li, Christos Thrampoulidis, Samet Oymak:
FEDNEST: Federated Bilevel, Minimax, and Compositional Optimization. CoRR abs/2205.02215 (2022) - [i43]Ahmadreza Moradipari, Mohammad Ghavamzadeh, Taha Rajabzadeh, Christos Thrampoulidis, Mahnoosh Alizadeh:
Multi-Environment Meta-Learning in Stochastic Linear Bandits. CoRR abs/2205.06326 (2022) - [i42]Haoyuan Sun, Kwangjun Ahn, Christos Thrampoulidis, Navid Azizan
Mirror Descent Maximizes Generalized Margin and Can Be Implemented Efficiently. CoRR abs/2205.12808 (2022) - [i41]Tina Behnia, Ke Wang, Christos Thrampoulidis:
On how to avoid exacerbating spurious correlations when models are overparameterized. CoRR abs/2206.12739 (2022) - [i40]Christos Thrampoulidis, Ganesh R. Kini, Vala Vakilian, Tina Behnia:
Imbalance Trouble: Revisiting Neural-Collapse Geometry. CoRR abs/2208.05512 (2022) - [i39]Hossein Taheri, Christos Thrampoulidis:
Decentralized Learning with Separable Data: Generalization and Fast Algorithms. CoRR abs/2209.07116 (2022) - [i38]Sadegh Mahdavi, Kevin Swersky, Thomas Kipf, Milad Hashemi, Christos Thrampoulidis, Renjie Liao:
Towards Better Out-of-Distribution Generalization of Neural Algorithmic Reasoning Tasks. CoRR abs/2211.00692 (2022) - 2021
- [j7]Hossein Taheri
Sharp Guarantees and Optimal Performance for Inference in Binary and Gaussian-Mixture Models. Entropy 23(2): 178 (2021) - [j6]Ahmadreza Moradipari
Safe Linear Thompson Sampling With Side Information. IEEE Trans. Signal Process. 69: 3755-3767 (2021) - [c50]Sanae Amani, Christos Thrampoulidis:
Decentralized Multi-Agent Linear Bandits with Safety Constraints. AAAI 2021: 6627-6635 - [c49]Xiangyu Chang, Yingcong Li, Samet Oymak, Christos Thrampoulidis:
Provable Benefits of Overparameterization in Model Compression: From Double Descent to Pruning Neural Networks. AAAI 2021: 6974-6983 - [c48]Hossein Taheri, Ramtin Pedarsani, Christos Thrampoulidis:
Fundamental Limits of Ridge-Regularized Empirical Risk Minimization in High Dimensions. AISTATS 2021: 2773-2781 - [c47]Ahmadreza Moradipari, Sanae Amani, Mahnoosh Alizadeh, Christos Thrampoulidis:
Safe Linear Bandits. CISS 2021: 1 - [c46]Ganesh Ramachandra Kini, Christos Thrampoulidis:
Phase Transitions for One-Vs-One and One-Vs-All Linear Separability in Multiclass Gaussian Mixtures. ICASSP 2021: 4020-4024 - [c45]Ke Wang, Christos Thrampoulidis:
Benign Overfitting in Binary Classification of Gaussian Mixtures. ICASSP 2021: 4030-4034 - [c44]Sanae Amani, Christos Thrampoulidis, Lin Yang
Safe Reinforcement Learning with Linear Function Approximation. ICML 2021: 243-253 - [c43]Sanae Amani, Mahnoosh Alizadeh, Christos Thrampoulidis:
Regret Bounds for Safe Gaussian Process Bandit Optimization. ISIT 2021: 527-532 - [c42]Sanae Amani, Christos Thrampoulidis:
UCB-based Algorithms for Multinomial Logistic Regression Bandits. NeurIPS 2021: 2913-2924 - [c41]Mingchen Li, Xuechen Zhang, Christos Thrampoulidis, Jiasi Chen, Samet Oymak:
AutoBalance: Optimized Loss Functions for Imbalanced Data. NeurIPS 2021: 3163-3177 - [c40]Ganesh Ramachandra Kini, Orestis Paraskevas, Samet Oymak, Christos Thrampoulidis:
Label-Imbalanced and Group-Sensitive Classification under Overparameterization. NeurIPS 2021: 18970-18983 - [c39]Ke Wang, Vidya Muthukumar, Christos Thrampoulidis:
Benign Overfitting in Multiclass Classification: All Roads Lead to Interpolation. NeurIPS 2021: 24164-24179 - [i37]Ganesh Ramachandra Kini, Orestis Paraskevas, Samet Oymak, Christos Thrampoulidis:
Label-Imbalanced and Group-Sensitive Classification under Overparameterization. CoRR abs/2103.01550 (2021) - [i36]Sanae Amani, Christos Thrampoulidis:
UCB-based Algorithms for Multinomial Logistic Regression Bandits. CoRR abs/2103.11489 (2021) - [i35]Sanae Amani, Christos Thrampoulidis, Lin F. Yang:
Safe Reinforcement Learning with Linear Function Approximation. CoRR abs/2106.06239 (2021) - [i34]Ke Wang, Vidya Muthukumar, Christos Thrampoulidis:
Benign Overfitting in Multiclass Classification: All Roads Lead to Interpolation. CoRR abs/2106.10865 (2021) - 2020
- [j5]Christos Thrampoulidis
The Generalized Lasso for Sub-Gaussian Measurements With Dithered Quantization. IEEE Trans. Inf. Theory 66(4): 2487-2500 (2020) - [c38]Hossein Taheri, Ramtin Pedarsani, Christos Thrampoulidis:
Sharp Asymptotics and Optimal Performance for Inference in Binary Models. AISTATS 2020: 3739-3749 - [c37]Ahmadreza Moradipari, Mahnoosh Alizadeh, Christos Thrampoulidis:
Linear Thompson Sampling Under Unknown Linear Constraints. ICASSP 2020: 3392-3396 - [c36]Sanae Amani, Mahnoosh Alizadeh, Christos Thrampoulidis:
Generalized Linear Bandits with Safety Constraints. ICASSP 2020: 3562-3566 - [c35]Zeyu Deng, Abla Kammoun, Christos Thrampoulidis:
A Model of Double Descent for High-Dimensional Logistic Regression. ICASSP 2020: 4267-4271 - [c34]Hossein Taheri, Ramtin Pedarsani, Christos Thrampoulidis:
Optimality of Least-squares for Classification in Gaussian-Mixture Models. ISIT 2020: 2515-2520 - [c33]Ganesh Ramachandra Kini, Christos Thrampoulidis:
Analytic Study of Double Descent in Binary Classification: The Impact of Loss. ISIT 2020: 2527-2532 - [c32]Sanae Amani, Mahnoosh Alizadeh, Christos Thrampoulidis:
Regret Bound for Safe Gaussian Process Bandit Optimization. L4DC 2020: 158-159 - [c31]Ahmadreza Moradipari, Christos Thrampoulidis, Mahnoosh Alizadeh:
Stage-wise Conservative Linear Bandits. NeurIPS 2020 - [c30]Christos Thrampoulidis, Samet Oymak, Mahdi Soltanolkotabi
Theoretical Insights Into Multiclass Classification: A High-dimensional Asymptotic View. NeurIPS 2020 - [i33]Ganesh R. Kini, Christos Thrampoulidis:
Analytic Study of Double Descent in Binary Classification: The Impact of Loss. CoRR abs/2001.11572 (2020) - [i32]Hossein Taheri, Ramtin Pedarsani, Christos Thrampoulidis:
Sharp Asymptotics and Optimal Performance for Inference in Binary Models. CoRR abs/2002.07284 (2020) - [i31]Sanae Amani, Mahnoosh Alizadeh, Christos Thrampoulidis:
Regret Bounds for Safe Gaussian Process Bandit Optimization. CoRR abs/2005.01936 (2020) - [i30]Hossein Taheri, Ramtin Pedarsani, Christos Thrampoulidis:
Fundamental Limits of Ridge-Regularized Empirical Risk Minimization in High Dimensions. CoRR abs/2006.08917 (2020) - [i29]Mingchen Li, Yahya Sattar, Christos Thrampoulidis, Samet Oymak:
Exploring Weight Importance and Hessian Bias in Model Pruning. CoRR abs/2006.10903 (2020) - [i28]Marco Mondelli, Christos Thrampoulidis, Ramji Venkataramanan:
Optimal Combination of Linear and Spectral Estimators for Generalized Linear Models. CoRR abs/2008.03326 (2020) - [i27]Ahmadreza Moradipari, Christos Thrampoulidis, Mahnoosh Alizadeh:
Stage-wise Conservative Linear Bandits. CoRR abs/2010.00081 (2020) - [i26]Hossein Taheri, Ramtin Pedarsani, Christos Thrampoulidis:
Asymptotic Behavior of Adversarial Training in Binary Classification. CoRR abs/2010.13275 (2020) - [i25]Christos Thrampoulidis, Samet Oymak, Mahdi Soltanolkotabi:
Theoretical Insights Into Multiclass Classification: A High-dimensional Asymptotic View. CoRR abs/2011.07729 (2020) - [i24]Ke Wang, Christos Thrampoulidis:
Benign Overfitting in Binary Classification of Gaussian Mixtures. CoRR abs/2011.09148 (2020) - [i23]Sanae Amani, Christos Thrampoulidis:
Decentralized Multi-Agent Linear Bandits with Safety Constraints. CoRR abs/2012.00314 (2020) - [i22]Xiangyu Chang, Yingcong Li, Samet Oymak, Christos Thrampoulidis:
Provable Benefits of Overparameterization in Model Compression: From Double Descent to Pruning Neural Networks. CoRR abs/2012.08749 (2020)
2010 – 2019
- 2019
- [c29]Christos Thrampoulidis, Ankit Singh Rawat:
Lifting high-dimensional non-linear models with Gaussian regressors. AISTATS 2019: 3206-3215 - [c28]Hossein Taheri, Ramtin Pedarsani, Christos Thrampoulidis:
Sharp Guarantees for Solving Random Equations with One-Bit Information. Allerton 2019: 765-772 - [c27]Adam B. Yedidia, Manel Baradad, Christos Thrampoulidis, William T. Freeman, Gregory W. Wornell:
Using Unknown Occluders to Recover Hidden Scenes. CVPR 2019: 12231-12239 - [c26]Christos Thrampoulidis, Ilias Zadik, Yury Polyanskiy:
A Simple Bound on the BER of the Map Decoder for Massive MIMO Systems. ICASSP 2019: 4544-4548 - [c25]Ganesh Ajjanagadde, Christos Thrampoulidis, Adam B. Yedidia, Gregory W. Wornell:
Near-optimal Coded Apertures for Imaging via Nazarov's Theorem. ICASSP 2019: 7690-7694 - [c24]Ilias Zadik, Yury Polyanskiy, Christos Thrampoulidis:
Improved bounds on Gaussian MAC and sparse regression via Gaussian inequalities. ISIT 2019: 430-434 - [c23]Sanae Amani, Mahnoosh Alizadeh, Christos Thrampoulidis:
Linear Stochastic Bandits Under Safety Constraints. NeurIPS 2019: 9252-9262 - [i21]Christos Thrampoulidis, Ilias Zadik, Yury Polyanskiy:
A simple bound on the BER of the MAP decoder for massive MIMO systems. CoRR abs/1903.03949 (2019) - [i20]Hossein Taheri, Ramtin Pedarsani, Christos Thrampoulidis:
Sharp Guarantees for Solving Random Equations with One-Bit Information. CoRR abs/1908.04433 (2019) - [i19]Sanae Amani, Mahnoosh Alizadeh, Christos Thrampoulidis:
Linear Stochastic Bandits Under Safety Constraints. CoRR abs/1908.05814 (2019) - [i18]Ahmadreza Moradipari, Sanae Amani, Mahnoosh Alizadeh, Christos Thrampoulidis:
Safe Linear Thompson Sampling. CoRR abs/1911.02156 (2019) - [i17]Zeyu Deng, Abla Kammoun, Christos Thrampoulidis:
A Model of Double Descent for High-dimensional Binary Linear Classification. CoRR abs/1911.05822 (2019) - 2018
- [j4]Christos Thrampoulidis
Exploiting Occlusion in Non-Line-of-Sight Active Imaging. IEEE Trans. Computational Imaging 4(3): 419-431 (2018) - [j3]Christos Thrampoulidis
Precise Error Analysis of Regularized M-Estimators in High Dimensions. IEEE Trans. Inf. Theory 64(8): 5592-5628 (2018) - [j2]Christos Thrampoulidis
Symbol Error Rate Performance of Box-Relaxation Decoders in Massive MIMO. IEEE Trans. Signal Process. 66(13): 3377-3392 (2018) - [c22]Christos Thrampoulidis, Ankit Singh Rawat:
The Generalized Lasso for Sub-gaussian Observations with Dithered Quantization. Allerton 2018: 624-631 - [c21]Adam B. Yedidia, Christos Thrampoulidis, Gregory W. Wornell:
Analysis and Optimization of Aperture Design in Computational Imaging. ICASSP 2018: 4029-4033 - [c20]Ayed M. Alrashdi
Optimum Training for MIMO BPSK Transmission. SPAWC 2018: 1-5 - [c19]Christos Thrampoulidis, Weiyu Xu:
The Performance Of Box-Relaxation Decoding In Massive MIMO With Low-Resolution ADCS. SSP 2018: 821-825 - [i16]Oussama Dhifallah, Christos Thrampoulidis, Yue M. Lu:
Phase Retrieval via Polytope Optimization: Geometry, Phase Transitions, and New Algorithms. CoRR abs/1805.09555 (2018) - [i15]Christos Thrampoulidis, Ankit Singh Rawat:
The Generalized Lasso for Sub-gaussian Measurements with Dithered Quantization. CoRR abs/1807.06976 (2018) - 2017
- [c18]Oussama Dhifallah, Christos Thrampoulidis, Yue M. Lu:
Phase retrieval via linear programming: Fundamental limits and algorithmic improvements. Allerton 2017: 1071-1077 - [c17]Myung Cho, Christos Thrampoulidis, Weiyu Xu, Babak Hassibi:
Phaseless super-resolution in the continuous domain. ICASSP 2017: 3814-3818 - [c16]Ismail Ben Atitallah
BER analysis of regularized least squares for BPSK recovery. ICASSP 2017: 4262-4266 - [c15]Samet Oymak, Christos Thrampoulidis, Babak Hassibi:
Near-optimal sample complexity bounds for circulant binary embedding. ICASSP 2017: 6359-6363 - [c14]Ismail Ben Atitallah
The BOX-LASSO with application to GSSK modulation in massive MIMO systems. ISIT 2017: 1082-1086 - [i14]Oussama Dhifallah, Christos Thrampoulidis, Yue M. Lu:
Phase Retrieval via Linear Programming: Fundamental Limits and Algorithmic Improvements. CoRR abs/1710.05234 (2017) - [i13]Christos Thrampoulidis, Weiyu Xu, Babak Hassibi:
Symbol Error Rate Performance of Box-relaxation Decoders in Massive MIMO. CoRR abs/1711.11215 (2017) - 2016
- [j1]Christos Thrampoulidis, Subhonmesh Bose, Babak Hassibi:
Optimal Placement of Distributed Energy Storage in Power Networks. IEEE Trans. Autom. Control. 61(2): 416-429 (2016) - [c13]Navid Azizan Ruhi
Improved bounds on the epidemic threshold of exact SIS models on complex networks. CDC 2016: 3560-3565 - [c12]Christos Thrampoulidis, Ehsan Abbasi, Weiyu Xu, Babak Hassibi:
Ber analysis of the box relaxation for BPSK signal recovery. ICASSP 2016: 3776-3780 - [c11]Ehsan Abbasi, Christos Thrampoulidis, Babak Hassibi:
General performance metrics for the LASSO. ITW 2016: 181-185 - [i12]Christos Thrampoulidis, Ehsan Abbasi, Babak Hassibi:
Precise Error Analysis of Regularized M-estimators in High-dimensions. CoRR abs/1601.06233 (2016) - [i11]Navid Azizan Ruhi, Christos Thrampoulidis, Babak Hassibi:
Improved Bounds on the Epidemic Threshold of Exact SIS Models on Complex Networks. CoRR abs/1603.05095 (2016) - [i10]Myung Cho, Christos Thrampoulidis, Weiyu Xu, Babak Hassibi:
Phaseless super-resolution in the continuous domain. CoRR abs/1609.08522 (2016) - 2015
- [c10]Christos Thrampoulidis, Ehsan Abbasi, Babak Hassibi:
Precise high-dimensional error analysis of regularized M-estimators. Allerton 2015: 410-417 - [c9]Christos Thrampoulidis, Samet Oymak, Babak Hassibi:
Regularized Linear Regression: A Precise Analysis of the Estimation Error. COLT 2015: 1683-1709 - [c8]Christos Thrampoulidis, Ashkan Panahi
Precise error analysis of the LASSO. ICASSP 2015: 3467-3471 - [c7]Christos Thrampoulidis, Babak Hassibi:
Isotropically random orthogonal matrices: Performance of LASSO and minimum conic singular values. ISIT 2015: 556-560 - [c6]Christos Thrampoulidis, Ashkan Panahi
Asymptotically exact error analysis for the generalized equation-LASSO. ISIT 2015: 2021-2025 - [c5]Christos Thrampoulidis, Ehsan Abbasi, Babak Hassibi:
LASSO with Non-linear Measurements is Equivalent to One With Linear Measurements. NIPS 2015: 3420-3428 - [i9]Christos Thrampoulidis, Ashkan Panahi, Babak Hassibi:
Asymptotically Exact Error Analysis for the Generalized ℓ22-LASSO. CoRR abs/1502.06287 (2015) - [i8]Christos Thrampoulidis, Babak Hassibi:
Isotropically Random Orthogonal Matrices: Performance of LASSO and Minimum Conic Singular Values. CoRR abs/1503.07236 (2015) - [i7]Christos Thrampoulidis, Ehsan Abbasi, Babak Hassibi:
The LASSO with Non-linear Measurements is Equivalent to One With Linear Measurements. CoRR abs/1506.02181 (2015) - [i6]Christos Thrampoulidis, Ehsan Abbasi, Weiyu Xu, Babak Hassibi:
BER Analysis of the box relaxation for BPSK Signal Recovery. CoRR abs/1510.01413 (2015) - 2014
- [c4]Christos Thrampoulidis, Babak Hassibi:
Estimating structured signals in sparse noise: A precise noise sensitivity analysis. Allerton 2014: 866-873 - [c3]Christos Thrampoulidis, Samet Oymak, Babak Hassibi:
Simple error bounds for regularized noisy linear inverse problems. ISIT 2014: 3007-3011 - [i5]Christos Thrampoulidis, Samet Oymak, Babak Hassibi:
Simple Error Bounds for Regularized Noisy Linear Inverse Problems. CoRR abs/1401.6578 (2014) - [i4]Christos Thrampoulidis, Samet Oymak, Babak Hassibi:
A Tight Version of the Gaussian min-max theorem in the Presence of Convexity. CoRR abs/1408.4837 (2014) - 2013
- [c2]Samet Oymak, Christos Thrampoulidis, Babak Hassibi:
The squared-error of generalized LASSO: A precise analysis. Allerton 2013: 1002-1009 - [c1]Christos Thrampoulidis, Subhonmesh Bose, Babak Hassibi:
On the distribution of energy storage in electricity grids. CDC 2013: 7590-7596 - [i3]Christos Thrampoulidis, Subhonmesh Bose, Babak Hassibi:
Optimal Placement of Distributed Energy Storage in Power Networks. CoRR abs/1303.5805 (2013) - [i2]Samet Oymak, Christos Thrampoulidis, Babak Hassibi:
The Squared-Error of Generalized LASSO: A Precise Analysis. CoRR abs/1311.0830 (2013) - [i1]Samet Oymak, Christos Thrampoulidis, Babak Hassibi:
Simple Bounds for Noisy Linear Inverse Problems with Exact Side Information. CoRR abs/1312.0641 (2013)
Coauthor Index
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