Christos Thrampoulidis

ORCID

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 127

Top Venues

Publications

Puneesh Deora, Bhavya Vasudeva, Vatsal Sharan, Christos Thrampoulidis
Fast Test Error Rates for Gradient-Based Algorithms on Separable Data. ICASSP (2024)
Xuechen Zhang, Mingchen Li, Jiasi Chen, Christos Thrampoulidis, Samet Oymak
Class-attribute Priors: Adapting Optimization to Heterogeneity and Fairness Objective. CoRR (2024)
Christos Thrampoulidis
Implicit Bias of Next-Token Prediction. CoRR (2024)
Liam Madden, Curtis Fox, Christos Thrampoulidis
Upper and lower memory capacity bounds of transformers for next-token prediction. CoRR (2024)
Wenlong Deng, Blair Chen, Xiaoxiao Li, Christos Thrampoulidis
Content Conditional Debiasing for Fair Text Embedding. CoRR (2024)
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)
Sadegh Mahdavi, Renjie Liao, Christos Thrampoulidis
Memorization Capacity of Multi-Head Attention in Transformers. ICLR (2024)
Xuechen Zhang, Mingchen Li, Jiasi Chen, Christos Thrampoulidis, Samet Oymak
Class-Attribute Priors: Adapting Optimization to Heterogeneity and Fairness Objective. AAAI (2024)
Jaidev Gill, Vala Vakilian, Christos Thrampoulidis
Engineering the Neural Collapse Geometry of Supervised-Contrastive Loss. ICASSP (2024)
Tina Behnia, Christos Thrampoulidis
Supervised Contrastive Representation Learning: Landscape Analysis with Unconstrained Features. CoRR (2024)
Sadegh Mahdavi, Renjie Liao, Christos Thrampoulidis
Revisiting the Equivalence of In-Context Learning and Gradient Descent: The Impact of Data Distribution. ICASSP (2024)
Jaidev Gill, Vala Vakilian, Christos Thrampoulidis
Engineering the Neural Collapse Geometry of Supervised-Contrastive Loss (Student Abstract). AAAI (2024)
Puneesh Deora, Rouzbeh Ghaderi, Hossein Taheri, Christos Thrampoulidis
On the Optimization and Generalization of Multi-head Attention. Trans. Mach. Learn. Res. 2024 (2024)
Bhavya Vasudeva, Puneesh Deora, Christos Thrampoulidis
Implicit Bias and Fast Convergence Rates for Self-attention. CoRR (2024)
Sadegh Mahdavi, Renjie Liao, Christos Thrampoulidis
Memorization Capacity of Multi-Head Attention in Transformers. CoRR (2023)
Chen Fan, Christos Thrampoulidis, Mark Schmidt
Fast Convergence of Random Reshuffling Under Over-Parameterization and the Polyak-Łojasiewicz Condition. ECML/PKDD (4) (2023)
Wenlong Deng, Christos Thrampoulidis, Xiaoxiao Li
Heterogeneous Federated Learning with Group-Aware Prompt Tuning. CoRR (2023)
Chen Fan, Christos Thrampoulidis, Mark Schmidt
Fast Convergence of Random Reshuffling under Over-Parameterization and the Polyak-Łojasiewicz Condition. CoRR (2023)
Tina Behnia, Ganesh Ramachandra Kini, Vala Vakilian, Christos Thrampoulidis
On the Implicit Geometry of Cross-Entropy Parameterizations for Label-Imbalanced Data. CoRR (2023)
Ke Wang, Vidya Muthukumar, Christos Thrampoulidis
Benign Overfitting in Multiclass Classification: All Roads Lead to Interpolation. IEEE Trans. Inf. Theory 69 (12) (2023)
Chen Fan, Gaspard Choné-Ducasse, Mark Schmidt, Christos Thrampoulidis
BiSLS/SPS: Auto-tune Step Sizes for Stable Bi-level Optimization. CoRR (2023)
Samet Oymak, Ankit Singh Rawat, Mahdi Soltanolkotabi, Christos Thrampoulidis
On the Role of Attention in Prompt-tuning. ICML (2023)
Tina Behnia, Ganesh Ramachandra Kini, Vala Vakilian, Christos Thrampoulidis
On the Implicit Geometry of Cross-Entropy Parameterizations for Label-Imbalanced Data. AISTATS (2023)
Puneesh Deora, Rouzbeh Ghaderi, Hossein Taheri, Christos Thrampoulidis
On the Optimization and Generalization of Multi-head Attention. CoRR (2023)
Ganesh Ramachandra Kini, Vala Vakilian, Tina Behnia, Jaidev Gill, Christos Thrampoulidis
Supervised-Contrastive Loss Learns Orthogonal Frames and Batching Matters. CoRR (2023)
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)
Davoud Ataee Tarzanagh, Yingcong Li, Christos Thrampoulidis, Samet Oymak
Transformers as Support Vector Machines. CoRR (2023)
Puneesh Deora, Christos Thrampoulidis
On Weighted Cross-Entropy for Label-Imbalanced Separable Data: An Algorithmic-Stability Study. ICASSP (2023)
Jaidev Gill, Vala Vakilian, Christos Thrampoulidis
Engineering the Neural Collapse Geometry of Supervised-Contrastive Loss. CoRR (2023)
Hossein Taheri, Christos Thrampoulidis
Fast Convergence in Learning Two-Layer Neural Networks with Separable Data. CoRR (2023)
Liam Madden, Christos Thrampoulidis
Memory capacity of two layer neural networks with smooth activations. CoRR (2023)
Hossein Taheri, Christos Thrampoulidis
On Generalization of Decentralized Learning with Separable Data. AISTATS (2023)
Hossein Taheri, Christos Thrampoulidis
Fast Convergence in Learning Two-Layer Neural Networks with Separable Data. AAAI (2023)
Chen Fan, Gaspard Choné-Ducasse, Mark Schmidt, Christos Thrampoulidis
BiSLS/SPS: Auto-tune Step Sizes for Stable Bi-level Optimization. NeurIPS (2023)
Hossein Taheri, Christos Thrampoulidis
Generalization and Stability of Interpolating Neural Networks with Minimal Width. CoRR (2023)
Samet Oymak, Ankit Singh Rawat, Mahdi Soltanolkotabi, Christos Thrampoulidis
On the Role of Attention in Prompt-tuning. CoRR (2023)
Tina Behnia, Ke Wang, Christos Thrampoulidis
On how to avoid exacerbating spurious correlations when models are overparameterized. CoRR (2022)
Sadegh Mahdavi, Kevin Swersky, Thomas Kipf, Milad Hashemi, Christos Thrampoulidis, Renjie Liao
Towards Better Out-of-Distribution Generalization of Neural Algorithmic Reasoning Tasks. CoRR (2022)
Ahmadreza Moradipari, Mohammad Ghavamzadeh, Taha Rajabzadeh, Christos Thrampoulidis, Mahnoosh Alizadeh
Multi-Environment Meta-Learning in Stochastic Linear Bandits. ISIT (2022)
Haoyuan Sun, Kwangjun Ahn, Christos Thrampoulidis, Navid Azizan
Mirror Descent Maximizes Generalized Margin and Can Be Implemented Efficiently. NeurIPS (2022)
Davoud Ataee Tarzanagh, Mingchen Li, Christos Thrampoulidis, Samet Oymak
FedNest: Federated Bilevel, Minimax, and Compositional Optimization. ICML (2022)
Tina Behnia, Ke Wang, Christos Thrampoulidis
On how to avoid exacerbating spurious correlations when models are overparameterized. ISIT (2022)
Davoud Ataee Tarzanagh, Mingchen Li, Christos Thrampoulidis, Samet Oymak
FEDNEST: Federated Bilevel, Minimax, and Compositional Optimization. CoRR (2022)
Christos Thrampoulidis, Ganesh Ramachandra Kini, Vala Vakilian, Tina Behnia
Imbalance Trouble: Revisiting Neural-Collapse Geometry. NeurIPS (2022)
Haoyuan Sun, Kwangjun Ahn, Christos Thrampoulidis, Navid Azizan
Mirror Descent Maximizes Generalized Margin and Can Be Implemented Efficiently. CoRR (2022)
Ahmadreza Moradipari, Mohammad Ghavamzadeh, Taha Rajabzadeh, Christos Thrampoulidis, Mahnoosh Alizadeh
Multi-Environment Meta-Learning in Stochastic Linear Bandits. CoRR (2022)
Hossein Taheri, Ramtin Pedarsani, Christos Thrampoulidis
Asymptotic Behavior of Adversarial Training in Binary Linear Classification. ISIT (2022)
Marco Mondelli, Christos Thrampoulidis, Ramji Venkataramanan
Optimal Combination of Linear and Spectral Estimators for Generalized Linear Models. Found. Comput. Math. 22 (5) (2022)
Mingchen Li, Xuechen Zhang, Christos Thrampoulidis, Jiasi Chen, Samet Oymak
AutoBalance: Optimized Loss Functions for Imbalanced Data. CoRR (2022)
Ke Wang, Christos Thrampoulidis
Binary Classification of Gaussian Mixtures: Abundance of Support Vectors, Benign Overfitting, and Regularization. SIAM J. Math. Data Sci. 4 (1) (2022)
Hossein Taheri, Christos Thrampoulidis
Decentralized Learning with Separable Data: Generalization and Fast Algorithms. CoRR (2022)
Christos Thrampoulidis, Ganesh R. Kini, Vala Vakilian, Tina Behnia
Imbalance Trouble: Revisiting Neural-Collapse Geometry. CoRR (2022)
Hossein Taheri, Ramtin Pedarsani, Christos Thrampoulidis
Sharp Guarantees and Optimal Performance for Inference in Binary and Gaussian-Mixture Models. Entropy 23 (2) (2021)
Ke Wang, Vidya Muthukumar, Christos Thrampoulidis
Benign Overfitting in Multiclass Classification: All Roads Lead to Interpolation. NeurIPS (2021)
Sanae Amani, Christos Thrampoulidis, Lin F. Yang
Safe Reinforcement Learning with Linear Function Approximation. CoRR (2021)
Ahmadreza Moradipari, Sanae Amani, Mahnoosh Alizadeh, Christos Thrampoulidis
Safe Linear Thompson Sampling With Side Information. IEEE Trans. Signal Process. 69 (2021)
Sanae Amani, Mahnoosh Alizadeh, Christos Thrampoulidis
Regret Bounds for Safe Gaussian Process Bandit Optimization. ISIT (2021)
Ganesh Ramachandra Kini, Christos Thrampoulidis
Phase Transitions for One-Vs-One and One-Vs-All Linear Separability in Multiclass Gaussian Mixtures. ICASSP (2021)
Sanae Amani, Christos Thrampoulidis
UCB-based Algorithms for Multinomial Logistic Regression Bandits. CoRR (2021)
Ganesh Ramachandra Kini, Orestis Paraskevas, Samet Oymak, Christos Thrampoulidis
Label-Imbalanced and Group-Sensitive Classification under Overparameterization. NeurIPS (2021)
Sanae Amani, Christos Thrampoulidis
Decentralized Multi-Agent Linear Bandits with Safety Constraints. AAAI (2021)
Sanae Amani, Christos Thrampoulidis
UCB-based Algorithms for Multinomial Logistic Regression Bandits. NeurIPS (2021)
Xiangyu Chang, Yingcong Li, Samet Oymak, Christos Thrampoulidis
Provable Benefits of Overparameterization in Model Compression: From Double Descent to Pruning Neural Networks. AAAI (2021)
Ke Wang, Christos Thrampoulidis
Benign Overfitting in Binary Classification of Gaussian Mixtures. ICASSP (2021)
Sanae Amani, Christos Thrampoulidis, Lin Yang
Safe Reinforcement Learning with Linear Function Approximation. ICML (2021)
Ganesh Ramachandra Kini, Orestis Paraskevas, Samet Oymak, Christos Thrampoulidis
Label-Imbalanced and Group-Sensitive Classification under Overparameterization. CoRR (2021)
Ke Wang, Vidya Muthukumar, Christos Thrampoulidis
Benign Overfitting in Multiclass Classification: All Roads Lead to Interpolation. CoRR (2021)
Mingchen Li, Xuechen Zhang, Christos Thrampoulidis, Jiasi Chen, Samet Oymak
AutoBalance: Optimized Loss Functions for Imbalanced Data. NeurIPS (2021)
Ahmadreza Moradipari, Sanae Amani, Mahnoosh Alizadeh, Christos Thrampoulidis
Safe Linear Bandits. CISS (2021)
Hossein Taheri, Ramtin Pedarsani, Christos Thrampoulidis
Fundamental Limits of Ridge-Regularized Empirical Risk Minimization in High Dimensions. AISTATS (2021)
Zeyu Deng, Abla Kammoun, Christos Thrampoulidis
A Model of Double Descent for High-Dimensional Logistic Regression. ICASSP (2020)
Ganesh Ramachandra Kini, Christos Thrampoulidis
Analytic Study of Double Descent in Binary Classification: The Impact of Loss. ISIT (2020)
Xiangyu Chang, Yingcong Li, Samet Oymak, Christos Thrampoulidis
Provable Benefits of Overparameterization in Model Compression: From Double Descent to Pruning Neural Networks. CoRR (2020)
Ganesh R. Kini, Christos Thrampoulidis
Analytic Study of Double Descent in Binary Classification: The Impact of Loss. CoRR (2020)
Christos Thrampoulidis, Samet Oymak, Mahdi Soltanolkotabi
Theoretical Insights Into Multiclass Classification: A High-dimensional Asymptotic View. CoRR (2020)
Sanae Amani, Christos Thrampoulidis
Decentralized Multi-Agent Linear Bandits with Safety Constraints. CoRR (2020)
Ke Wang, Christos Thrampoulidis
Benign Overfitting in Binary Classification of Gaussian Mixtures. CoRR (2020)
Marco Mondelli, Christos Thrampoulidis, Ramji Venkataramanan
Optimal Combination of Linear and Spectral Estimators for Generalized Linear Models. CoRR (2020)
Ahmadreza Moradipari, Christos Thrampoulidis, Mahnoosh Alizadeh
Stage-wise Conservative Linear Bandits. CoRR (2020)
Ahmadreza Moradipari, Mahnoosh Alizadeh, Christos Thrampoulidis
Linear Thompson Sampling Under Unknown Linear Constraints. ICASSP (2020)
Hossein Taheri, Ramtin Pedarsani, Christos Thrampoulidis
Sharp Asymptotics and Optimal Performance for Inference in Binary Models. CoRR (2020)
Sanae Amani, Mahnoosh Alizadeh, Christos Thrampoulidis
Generalized Linear Bandits with Safety Constraints. ICASSP (2020)
Hossein Taheri, Ramtin Pedarsani, Christos Thrampoulidis
Asymptotic Behavior of Adversarial Training in Binary Classification. CoRR (2020)
Hossein Taheri, Ramtin Pedarsani, Christos Thrampoulidis
Sharp Asymptotics and Optimal Performance for Inference in Binary Models. AISTATS (2020)
Hossein Taheri, Ramtin Pedarsani, Christos Thrampoulidis
Fundamental Limits of Ridge-Regularized Empirical Risk Minimization in High Dimensions. CoRR (2020)
Mingchen Li, Yahya Sattar, Christos Thrampoulidis, Samet Oymak
Exploring Weight Importance and Hessian Bias in Model Pruning. CoRR (2020)
Sanae Amani, Mahnoosh Alizadeh, Christos Thrampoulidis
Regret Bound for Safe Gaussian Process Bandit Optimization. L4DC (2020)
Christos Thrampoulidis, Ankit Singh Rawat
The Generalized Lasso for Sub-Gaussian Measurements With Dithered Quantization. IEEE Trans. Inf. Theory 66 (4) (2020)
Christos Thrampoulidis, Samet Oymak, Mahdi Soltanolkotabi
Theoretical Insights Into Multiclass Classification: A High-dimensional Asymptotic View. NeurIPS (2020)
Sanae Amani, Mahnoosh Alizadeh, Christos Thrampoulidis
Regret Bounds for Safe Gaussian Process Bandit Optimization. CoRR (2020)
Ahmadreza Moradipari, Christos Thrampoulidis, Mahnoosh Alizadeh
Stage-wise Conservative Linear Bandits. NeurIPS (2020)
Hossein Taheri, Ramtin Pedarsani, Christos Thrampoulidis
Optimality of Least-squares for Classification in Gaussian-Mixture Models. ISIT (2020)
Ganesh Ajjanagadde, Christos Thrampoulidis, Adam B. Yedidia, Gregory W. Wornell
Near-optimal Coded Apertures for Imaging via Nazarov's Theorem. ICASSP (2019)
Hossein Taheri, Ramtin Pedarsani, Christos Thrampoulidis
Sharp Guarantees for Solving Random Equations with One-Bit Information. Allerton (2019)
Ahmadreza Moradipari, Sanae Amani, Mahnoosh Alizadeh, Christos Thrampoulidis
Safe Linear Thompson Sampling. CoRR (2019)
Adam B. Yedidia, Manel Baradad, Christos Thrampoulidis, William T. Freeman, Gregory W. Wornell
Using Unknown Occluders to Recover Hidden Scenes. CVPR (2019)
Christos Thrampoulidis, Ilias Zadik, Yury Polyanskiy
A Simple Bound on the BER of the Map Decoder for Massive MIMO Systems. ICASSP (2019)
Christos Thrampoulidis, Ankit Singh Rawat
Lifting high-dimensional non-linear models with Gaussian regressors. AISTATS (2019)
Christos Thrampoulidis, Ilias Zadik, Yury Polyanskiy
A simple bound on the BER of the MAP decoder for massive MIMO systems. CoRR (2019)
Sanae Amani, Mahnoosh Alizadeh, Christos Thrampoulidis
Linear Stochastic Bandits Under Safety Constraints. NeurIPS (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Christos Thrampoulidis