Christos Thrampoulidis

178 papers A* 27A 5B 13Misc 18Journal 102Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Advantage Shaping as Surrogate Reward Maximization: Unifying Pass@K Policy Gradients. Trans. Mach. Learn. Res. Christos Thrampoulidis, Sadegh Mahdavi, Wenlong Deng
2026	J	`jnl`	Understanding Contextual Recall in Transformers: How Finetuning Enables In-Context Reasoning over Pretraining Knowledge. CoRR Bhavya Vasudeva, Puneesh Deora, Alberto Bietti, Vatsal Sharan, Christos Thrampoulidis
2026	J	`jnl`	Why Loss Re-weighting Works If You Stop Early: Training Dynamics of Unconstrained Features. CoRR Yize Zhao, Christos Thrampoulidis
2025	J	`jnl`	Advantage Shaping as Surrogate Reward Maximization: Unifying Pass@K Policy Gradients. CoRR Christos Thrampoulidis, Sadegh Mahdavi, Wenlong Deng
2025	J	`jnl`	Asymptotic Behavior of Adversarial Training in Binary Linear Classification. IEEE Trans. Neural Networks Learn. Syst. Hossein Taheri, Ramtin Pedarsani, Christos Thrampoulidis
2025	A*	`conf`	DARE the Extreme: Revisiting Delta-Parameter Pruning For Fine-Tuned Models. ICLR Wenlong Deng, Yize Zhao, Vala Vakilian, Minghui Chen, Xiaoxiao Li, Christos Thrampoulidis
2025	J	`jnl`	Diagonalizing the Softmax: Hadamard Initialization for Tractable Cross-Entropy Dynamics. CoRR Connall Garrod, Jonathan P. Keating, Christos Thrampoulidis
2025	J	`jnl`	Efficient Forward-Only Data Valuation for Pretrained LLMs and VLMs. CoRR Wenlong Deng, Jiaming Zhang, Qi Zeng, Christos Thrampoulidis, Boying Gong, Xiaoxiao Li
2025	J	`jnl`	Facts in Stats: Impacts of Pretraining Diversity on Language Model Generalization. CoRR Tina Behnia, Puneesh Deora, Christos Thrampoulidis
2025	J	`jnl`	How Muon's Spectral Design Benefits Generalization: A Study on Imbalanced Data. CoRR Bhavya Vasudeva, Puneesh Deora, Yize Zhao, Vatsal Sharan, Christos Thrampoulidis
2025	J	`jnl`	Implicit Bias and Fast Convergence Rates for Self-attention. Trans. Mach. Learn. Res. Bhavya Vasudeva, Puneesh Deora, Christos Thrampoulidis
2025	J	`jnl`	Implicit Bias of SignGD and Adam on Multiclass Separable Data. CoRR Chen Fan, Mark Schmidt, Christos Thrampoulidis
2025	J	`jnl`	In-Context Occam's Razor: How Transformers Prefer Simpler Hypotheses on the Fly. CoRR Puneesh Deora, Bhavya Vasudeva, Tina Behnia, Christos Thrampoulidis
2025	A*	`conf`	Leveraging Online Olympiad-Level Math Problems for LLMs Training and Contamination-Resistant Evaluation. ICML Sadegh Mahdavi, Muchen Li, Kaiwen Liu, Christos Thrampoulidis, Leonid Sigal, Renjie Liao
2025	J	`jnl`	Leveraging Online Olympiad-Level Math Problems for LLMs Training and Contamination-Resistant Evaluation. CoRR Sadegh Mahdavi, Muchen Li, Kaiwen Liu, Christos Thrampoulidis, Leonid Sigal, Renjie Liao
2025	J	`jnl`	Next-Token Prediction Capacity: General Upper Bounds and a Lower Bound for Transformers. IEEE Trans. Inf. Theory Liam Madden, Curtis Fox, Christos Thrampoulidis
2025	J	`jnl`	On GRPO Collapse in Search-R1: The Lazy Likelihood-Displacement Death Spiral. CoRR Wenlong Deng, Yushu Li, Boying Gong, Yi Ren, Christos Thrampoulidis, Xiaoxiao Li
2025	J	`jnl`	On the Effect of Negative Gradient in Group Relative Deep Reinforcement Optimization. CoRR Wenlong Deng, Yi Ren, Muchen Li, Danica J. Sutherland, Xiaoxiao Li, Christos Thrampoulidis
2025	J	`jnl`	On the Geometry of Semantics in Next-token Prediction. CoRR Yize Zhao, Christos Thrampoulidis
2025	J	`jnl`	Scaling Generative Verifiers For Natural Language Mathematical Proof Verification And Selection. CoRR Sadegh Mahdavi, Branislav Kisacanin, Shubham Toshniwal, Wei Du, Ivan Moshkov, George Armstrong, Renjie Liao, Christos Thrampoulidis, Igor Gitman
2025	A*	`conf`	Sharper Guarantees for Learning Neural Network Classifiers with Gradient Methods. ICLR Hossein Taheri, Christos Thrampoulidis, Arya Mazumdar
2025	J	`jnl`	Short-Context Dominance: How Much Local Context Natural Language Actually Needs? CoRR Vala Vakilian, Zimeng Wang, Ankit Singh Rawat, Christos Thrampoulidis
2025	J	`jnl`	Thumb on the Scale: Optimal Loss Weighting in Last Layer Retraining. CoRR Nathan Stromberg, Christos Thrampoulidis, Lalitha Sankar
2025	J	`jnl`	Token Hidden Reward: Steering Exploration-Exploitation in Group Relative Deep Reinforcement Learning. CoRR Wenlong Deng, Yi Ren, Yushu Li, Boying Gong, Danica J. Sutherland, Xiaoxiao Li, Christos Thrampoulidis
2024	A*	`conf`	Class-Attribute Priors: Adapting Optimization to Heterogeneity and Fairness Objective. AAAI Xuechen Zhang, Mingchen Li, Jiasi Chen, Christos Thrampoulidis, Samet Oymak
2024	J	`jnl`	Class-attribute Priors: Adapting Optimization to Heterogeneity and Fairness Objective. CoRR Xuechen Zhang, Mingchen Li, Jiasi Chen, Christos Thrampoulidis, Samet Oymak
2024	J	`jnl`	Content Conditional Debiasing for Fair Text Embedding. CoRR Wenlong Deng, Blair Chen, Xiaoxiao Li, Christos Thrampoulidis
2024	J	`jnl`	DARE the Extreme: Revisiting Delta-Parameter Pruning For Fine-Tuned Models. CoRR Wenlong Deng, Yize Zhao, Vala Vakilian, Minghui Chen, Xiaoxiao Li, Christos Thrampoulidis
2024	A*	`conf`	Engineering the Neural Collapse Geometry of Supervised-Contrastive Loss (Student Abstract). AAAI Jaidev Gill, Vala Vakilian, Christos Thrampoulidis
2024	Misc	`conf`	Engineering the Neural Collapse Geometry of Supervised-Contrastive Loss. ICASSP Jaidev Gill, Vala Vakilian, Christos Thrampoulidis
2024	Misc	`conf`	Fast Test Error Rates for Gradient-Based Algorithms on Separable Data. ICASSP Puneesh Deora, Bhavya Vasudeva, Vatsal Sharan, Christos Thrampoulidis
2024	J	`jnl`	Generalization and Stability of Interpolating Neural Networks with Minimal Width. J. Mach. Learn. Res. Hossein Taheri, Christos Thrampoulidis
2024	J	`jnl`	Implicit Bias and Fast Convergence Rates for Self-attention. CoRR Bhavya Vasudeva, Puneesh Deora, Christos Thrampoulidis
2024	J	`jnl`	Implicit Bias of Next-Token Prediction. CoRR Christos Thrampoulidis
2024	J	`jnl`	Implicit Geometry of Next-token Prediction: From Language Sparsity Patterns to Model Representations. CoRR Yize Zhao, Tina Behnia, Vala Vakilian, Christos Thrampoulidis
2024	A*	`conf`	Implicit Optimization Bias of Next-token Prediction in Linear Models. NeurIPS Christos Thrampoulidis
2024	A*	`conf`	Memorization Capacity of Multi-Head Attention in Transformers. ICLR Sadegh Mahdavi, Renjie Liao, Christos Thrampoulidis
2024	J	`jnl`	Memory Capacity of Two Layer Neural Networks with Smooth Activations. SIAM J. Math. Data Sci. Liam Madden, Christos Thrampoulidis
2024	J	`jnl`	On the Optimization and Generalization of Multi-head Attention. Trans. Mach. Learn. Res. Puneesh Deora, Rouzbeh Ghaderi, Hossein Taheri, Christos Thrampoulidis
2024	Misc	`conf`	Revisiting the Equivalence of In-Context Learning and Gradient Descent: The Impact of Data Distribution. ICASSP Sadegh Mahdavi, Renjie Liao, Christos Thrampoulidis
2024	J	`jnl`	Sharper Guarantees for Learning Neural Network Classifiers with Gradient Methods. CoRR Hossein Taheri, Christos Thrampoulidis, Arya Mazumdar
2024	B	`conf`	Supervised Contrastive Representation Learning: Landscape Analysis with Unconstrained Features. ISIT Tina Behnia, Christos Thrampoulidis
2024	J	`jnl`	Supervised Contrastive Representation Learning: Landscape Analysis with Unconstrained Features. CoRR Tina Behnia, Christos Thrampoulidis
2024	A*	`conf`	Symmetric Neural-Collapse Representations with Supervised Contrastive Loss: The Impact of ReLU and Batching. ICLR Ganesh Ramachandra Kini, Vala Vakilian, Tina Behnia, Jaidev Gill, Christos Thrampoulidis
2024	A*	`conf`	Unlocking the Potential of Prompt-Tuning in Bridging Generalized and Personalized Federated Learning. CVPR Wenlong Deng, Christos Thrampoulidis, Xiaoxiao Li
2024	J	`jnl`	Upper and lower memory capacity bounds of transformers for next-token prediction. CoRR Liam Madden, Curtis Fox, Christos Thrampoulidis
2023	J	`jnl`	Benign Overfitting in Multiclass Classification: All Roads Lead to Interpolation. IEEE Trans. Inf. Theory Ke Wang, Vidya Muthukumar, Christos Thrampoulidis
2023	A*	`conf`	BiSLS/SPS: Auto-tune Step Sizes for Stable Bi-level Optimization. NeurIPS Chen Fan, Gaspard Choné-Ducasse, Mark Schmidt, Christos Thrampoulidis
2023	J	`jnl`	BiSLS/SPS: Auto-tune Step Sizes for Stable Bi-level Optimization. CoRR Chen Fan, Gaspard Choné-Ducasse, Mark Schmidt, Christos Thrampoulidis
2023	J	`jnl`	Engineering the Neural Collapse Geometry of Supervised-Contrastive Loss. CoRR Jaidev Gill, Vala Vakilian, Christos Thrampoulidis
2023	A*	`conf`	Fast Convergence in Learning Two-Layer Neural Networks with Separable Data. AAAI Hossein Taheri, Christos Thrampoulidis
2023	J	`jnl`	Fast Convergence in Learning Two-Layer Neural Networks with Separable Data. CoRR Hossein Taheri, Christos Thrampoulidis
2023	—	`conf`	Fast Convergence of Random Reshuffling Under Over-Parameterization and the Polyak-Łojasiewicz Condition. ECML/PKDD (4) Chen Fan, Christos Thrampoulidis, Mark Schmidt
2023	J	`jnl`	Fast Convergence of Random Reshuffling under Over-Parameterization and the Polyak-Łojasiewicz Condition. CoRR Chen Fan, Christos Thrampoulidis, Mark Schmidt
2023	J	`jnl`	Generalization and Stability of Interpolating Neural Networks with Minimal Width. CoRR Hossein Taheri, Christos Thrampoulidis
2023	J	`jnl`	Heterogeneous Federated Learning with Group-Aware Prompt Tuning. CoRR Wenlong Deng, Christos Thrampoulidis, Xiaoxiao Li
2023	J	`jnl`	Memorization Capacity of Multi-Head Attention in Transformers. CoRR Sadegh Mahdavi, Renjie Liao, Christos Thrampoulidis
2023	J	`jnl`	Memory capacity of two layer neural networks with smooth activations. CoRR Liam Madden, Christos Thrampoulidis
2023	A	`conf`	On Generalization of Decentralized Learning with Separable Data. AISTATS Hossein Taheri, Christos Thrampoulidis
2023	Misc	`conf`	On Weighted Cross-Entropy for Label-Imbalanced Separable Data: An Algorithmic-Stability Study. ICASSP Puneesh Deora, Christos Thrampoulidis
2023	A	`conf`	On the Implicit Geometry of Cross-Entropy Parameterizations for Label-Imbalanced Data. AISTATS Tina Behnia, Ganesh Ramachandra Kini, Vala Vakilian, Christos Thrampoulidis
2023	J	`jnl`	On the Implicit Geometry of Cross-Entropy Parameterizations for Label-Imbalanced Data. CoRR Tina Behnia, Ganesh Ramachandra Kini, Vala Vakilian, Christos Thrampoulidis
2023	J	`jnl`	On the Optimization and Generalization of Multi-head Attention. CoRR Puneesh Deora, Rouzbeh Ghaderi, Hossein Taheri, Christos Thrampoulidis
2023	A*	`conf`	On the Role of Attention in Prompt-tuning. ICML Samet Oymak, Ankit Singh Rawat, Mahdi Soltanolkotabi, Christos Thrampoulidis
2023	J	`jnl`	On the Role of Attention in Prompt-tuning. CoRR Samet Oymak, Ankit Singh Rawat, Mahdi Soltanolkotabi, Christos Thrampoulidis
2023	J	`jnl`	Supervised-Contrastive Loss Learns Orthogonal Frames and Batching Matters. CoRR Ganesh Ramachandra Kini, Vala Vakilian, Tina Behnia, Jaidev Gill, Christos Thrampoulidis
2023	J	`jnl`	Towards Better Out-of-Distribution Generalization of Neural Algorithmic Reasoning Tasks. Trans. Mach. Learn. Res. Sadegh Mahdavi, Kevin Swersky, Thomas Kipf, Milad Hashemi, Christos Thrampoulidis, Renjie Liao
2023	J	`jnl`	Transformers as Support Vector Machines. CoRR Davoud Ataee Tarzanagh, Yingcong Li, Christos Thrampoulidis, Samet Oymak
2022	B	`conf`	Asymptotic Behavior of Adversarial Training in Binary Linear Classification. ISIT Hossein Taheri, Ramtin Pedarsani, Christos Thrampoulidis
2022	J	`jnl`	AutoBalance: Optimized Loss Functions for Imbalanced Data. CoRR Mingchen Li, Xuechen Zhang, Christos Thrampoulidis, Jiasi Chen, Samet Oymak
2022	J	`jnl`	Binary Classification of Gaussian Mixtures: Abundance of Support Vectors, Benign Overfitting, and Regularization. SIAM J. Math. Data Sci. Ke Wang, Christos Thrampoulidis
2022	J	`jnl`	Decentralized Learning with Separable Data: Generalization and Fast Algorithms. CoRR Hossein Taheri, Christos Thrampoulidis
2022	J	`jnl`	FEDNEST: Federated Bilevel, Minimax, and Compositional Optimization. CoRR Davoud Ataee Tarzanagh, Mingchen Li, Christos Thrampoulidis, Samet Oymak
2022	A*	`conf`	FedNest: Federated Bilevel, Minimax, and Compositional Optimization. ICML Davoud Ataee Tarzanagh, Mingchen Li, Christos Thrampoulidis, Samet Oymak
2022	A*	`conf`	Imbalance Trouble: Revisiting Neural-Collapse Geometry. NeurIPS Christos Thrampoulidis, Ganesh Ramachandra Kini, Vala Vakilian, Tina Behnia
2022	J	`jnl`	Imbalance Trouble: Revisiting Neural-Collapse Geometry. CoRR Christos Thrampoulidis, Ganesh R. Kini, Vala Vakilian, Tina Behnia
2022	A*	`conf`	Mirror Descent Maximizes Generalized Margin and Can Be Implemented Efficiently. NeurIPS Haoyuan Sun, Kwangjun Ahn, Christos Thrampoulidis, Navid Azizan
2022	J	`jnl`	Mirror Descent Maximizes Generalized Margin and Can Be Implemented Efficiently. CoRR Haoyuan Sun, Kwangjun Ahn, Christos Thrampoulidis, Navid Azizan
2022	B	`conf`	Multi-Environment Meta-Learning in Stochastic Linear Bandits. ISIT Ahmadreza Moradipari, Mohammad Ghavamzadeh, Taha Rajabzadeh, Christos Thrampoulidis, Mahnoosh Alizadeh
2022	J	`jnl`	Multi-Environment Meta-Learning in Stochastic Linear Bandits. CoRR Ahmadreza Moradipari, Mohammad Ghavamzadeh, Taha Rajabzadeh, Christos Thrampoulidis, Mahnoosh Alizadeh
2022	B	`conf`	On how to avoid exacerbating spurious correlations when models are overparameterized. ISIT Tina Behnia, Ke Wang, Christos Thrampoulidis
2022	J	`jnl`	On how to avoid exacerbating spurious correlations when models are overparameterized. CoRR Tina Behnia, Ke Wang, Christos Thrampoulidis
2022	J	`jnl`	Optimal Combination of Linear and Spectral Estimators for Generalized Linear Models. Found. Comput. Math. Marco Mondelli, Christos Thrampoulidis, Ramji Venkataramanan
2022	J	`jnl`	Towards Better Out-of-Distribution Generalization of Neural Algorithmic Reasoning Tasks. CoRR Sadegh Mahdavi, Kevin Swersky, Thomas Kipf, Milad Hashemi, Christos Thrampoulidis, Renjie Liao
2021	A*	`conf`	AutoBalance: Optimized Loss Functions for Imbalanced Data. NeurIPS Mingchen Li, Xuechen Zhang, Christos Thrampoulidis, Jiasi Chen, Samet Oymak
2021	Misc	`conf`	Benign Overfitting in Binary Classification of Gaussian Mixtures. ICASSP Ke Wang, Christos Thrampoulidis
2021	A*	`conf`	Benign Overfitting in Multiclass Classification: All Roads Lead to Interpolation. NeurIPS Ke Wang, Vidya Muthukumar, Christos Thrampoulidis
2021	J	`jnl`	Benign Overfitting in Multiclass Classification: All Roads Lead to Interpolation. CoRR Ke Wang, Vidya Muthukumar, Christos Thrampoulidis
2021	A*	`conf`	Decentralized Multi-Agent Linear Bandits with Safety Constraints. AAAI Sanae Amani, Christos Thrampoulidis
2021	A	`conf`	Fundamental Limits of Ridge-Regularized Empirical Risk Minimization in High Dimensions. AISTATS Hossein Taheri, Ramtin Pedarsani, Christos Thrampoulidis
2021	A*	`conf`	Label-Imbalanced and Group-Sensitive Classification under Overparameterization. NeurIPS Ganesh Ramachandra Kini, Orestis Paraskevas, Samet Oymak, Christos Thrampoulidis
2021	J	`jnl`	Label-Imbalanced and Group-Sensitive Classification under Overparameterization. CoRR Ganesh Ramachandra Kini, Orestis Paraskevas, Samet Oymak, Christos Thrampoulidis
2021	Misc	`conf`	Phase Transitions for One-Vs-One and One-Vs-All Linear Separability in Multiclass Gaussian Mixtures. ICASSP Ganesh Ramachandra Kini, Christos Thrampoulidis
2021	A*	`conf`	Provable Benefits of Overparameterization in Model Compression: From Double Descent to Pruning Neural Networks. AAAI Xiangyu Chang, Yingcong Li, Samet Oymak, Christos Thrampoulidis
2021	B	`conf`	Regret Bounds for Safe Gaussian Process Bandit Optimization. ISIT Sanae Amani, Mahnoosh Alizadeh, Christos Thrampoulidis
2021	Misc	`conf`	Safe Linear Bandits. CISS Ahmadreza Moradipari, Sanae Amani, Mahnoosh Alizadeh, Christos Thrampoulidis
2021	J	`jnl`	Safe Linear Thompson Sampling With Side Information. IEEE Trans. Signal Process. Ahmadreza Moradipari, Sanae Amani, Mahnoosh Alizadeh, Christos Thrampoulidis
2021	A*	`conf`	Safe Reinforcement Learning with Linear Function Approximation. ICML Sanae Amani, Christos Thrampoulidis, Lin Yang
2021	J	`jnl`	Safe Reinforcement Learning with Linear Function Approximation. CoRR Sanae Amani, Christos Thrampoulidis, Lin F. Yang
2021	J	`jnl`	Sharp Guarantees and Optimal Performance for Inference in Binary and Gaussian-Mixture Models. Entropy Hossein Taheri, Ramtin Pedarsani, Christos Thrampoulidis
2021	A*	`conf`	UCB-based Algorithms for Multinomial Logistic Regression Bandits. NeurIPS Sanae Amani, Christos Thrampoulidis
2021	J	`jnl`	UCB-based Algorithms for Multinomial Logistic Regression Bandits. CoRR Sanae Amani, Christos Thrampoulidis
2020	Misc	`conf`	A Model of Double Descent for High-Dimensional Logistic Regression. ICASSP Zeyu Deng, Abla Kammoun, Christos Thrampoulidis
2020	B	`conf`	Analytic Study of Double Descent in Binary Classification: The Impact of Loss. ISIT Ganesh Ramachandra Kini, Christos Thrampoulidis
2020	J	`jnl`	Analytic Study of Double Descent in Binary Classification: The Impact of Loss. CoRR Ganesh R. Kini, Christos Thrampoulidis
2020	J	`jnl`	Asymptotic Behavior of Adversarial Training in Binary Classification. CoRR Hossein Taheri, Ramtin Pedarsani, Christos Thrampoulidis
2020	J	`jnl`	Benign Overfitting in Binary Classification of Gaussian Mixtures. CoRR Ke Wang, Christos Thrampoulidis
2020	J	`jnl`	Decentralized Multi-Agent Linear Bandits with Safety Constraints. CoRR Sanae Amani, Christos Thrampoulidis
2020	J	`jnl`	Exploring Weight Importance and Hessian Bias in Model Pruning. CoRR Mingchen Li, Yahya Sattar, Christos Thrampoulidis, Samet Oymak
2020	J	`jnl`	Fundamental Limits of Ridge-Regularized Empirical Risk Minimization in High Dimensions. CoRR Hossein Taheri, Ramtin Pedarsani, Christos Thrampoulidis
2020	Misc	`conf`	Generalized Linear Bandits with Safety Constraints. ICASSP Sanae Amani, Mahnoosh Alizadeh, Christos Thrampoulidis
2020	Misc	`conf`	Linear Thompson Sampling Under Unknown Linear Constraints. ICASSP Ahmadreza Moradipari, Mahnoosh Alizadeh, Christos Thrampoulidis
2020	J	`jnl`	Optimal Combination of Linear and Spectral Estimators for Generalized Linear Models. CoRR Marco Mondelli, Christos Thrampoulidis, Ramji Venkataramanan
2020	B	`conf`	Optimality of Least-squares for Classification in Gaussian-Mixture Models. ISIT Hossein Taheri, Ramtin Pedarsani, Christos Thrampoulidis
2020	J	`jnl`	Provable Benefits of Overparameterization in Model Compression: From Double Descent to Pruning Neural Networks. CoRR Xiangyu Chang, Yingcong Li, Samet Oymak, Christos Thrampoulidis
2020	—	`conf`	Regret Bound for Safe Gaussian Process Bandit Optimization. L4DC Sanae Amani, Mahnoosh Alizadeh, Christos Thrampoulidis
2020	J	`jnl`	Regret Bounds for Safe Gaussian Process Bandit Optimization. CoRR Sanae Amani, Mahnoosh Alizadeh, Christos Thrampoulidis
2020	A	`conf`	Sharp Asymptotics and Optimal Performance for Inference in Binary Models. AISTATS Hossein Taheri, Ramtin Pedarsani, Christos Thrampoulidis
2020	J	`jnl`	Sharp Asymptotics and Optimal Performance for Inference in Binary Models. CoRR Hossein Taheri, Ramtin Pedarsani, Christos Thrampoulidis
2020	A*	`conf`	Stage-wise Conservative Linear Bandits. NeurIPS Ahmadreza Moradipari, Christos Thrampoulidis, Mahnoosh Alizadeh
2020	J	`jnl`	Stage-wise Conservative Linear Bandits. CoRR Ahmadreza Moradipari, Christos Thrampoulidis, Mahnoosh Alizadeh
2020	J	`jnl`	The Generalized Lasso for Sub-Gaussian Measurements With Dithered Quantization. IEEE Trans. Inf. Theory Christos Thrampoulidis, Ankit Singh Rawat
2020	A*	`conf`	Theoretical Insights Into Multiclass Classification: A High-dimensional Asymptotic View. NeurIPS Christos Thrampoulidis, Samet Oymak, Mahdi Soltanolkotabi
2020	J	`jnl`	Theoretical Insights Into Multiclass Classification: A High-dimensional Asymptotic View. CoRR Christos Thrampoulidis, Samet Oymak, Mahdi Soltanolkotabi
2019	J	`jnl`	A Model of Double Descent for High-dimensional Binary Linear Classification. CoRR Zeyu Deng, Abla Kammoun, Christos Thrampoulidis
2019	Misc	`conf`	A Simple Bound on the BER of the Map Decoder for Massive MIMO Systems. ICASSP Christos Thrampoulidis, Ilias Zadik, Yury Polyanskiy
2019	J	`jnl`	A simple bound on the BER of the MAP decoder for massive MIMO systems. CoRR Christos Thrampoulidis, Ilias Zadik, Yury Polyanskiy
2019	B	`conf`	Improved bounds on Gaussian MAC and sparse regression via Gaussian inequalities. ISIT Ilias Zadik, Yury Polyanskiy, Christos Thrampoulidis
2019	A	`conf`	Lifting high-dimensional non-linear models with Gaussian regressors. AISTATS Christos Thrampoulidis, Ankit Singh Rawat
2019	A*	`conf`	Linear Stochastic Bandits Under Safety Constraints. NeurIPS Sanae Amani, Mahnoosh Alizadeh, Christos Thrampoulidis
2019	J	`jnl`	Linear Stochastic Bandits Under Safety Constraints. CoRR Sanae Amani, Mahnoosh Alizadeh, Christos Thrampoulidis
2019	Misc	`conf`	Near-optimal Coded Apertures for Imaging via Nazarov's Theorem. ICASSP Ganesh Ajjanagadde, Christos Thrampoulidis, Adam B. Yedidia, Gregory W. Wornell
2019	J	`jnl`	Safe Linear Thompson Sampling. CoRR Ahmadreza Moradipari, Sanae Amani, Mahnoosh Alizadeh, Christos Thrampoulidis
2019	—	`conf`	Sharp Guarantees for Solving Random Equations with One-Bit Information. Allerton Hossein Taheri, Ramtin Pedarsani, Christos Thrampoulidis
2019	J	`jnl`	Sharp Guarantees for Solving Random Equations with One-Bit Information. CoRR Hossein Taheri, Ramtin Pedarsani, Christos Thrampoulidis
2019	A*	`conf`	Using Unknown Occluders to Recover Hidden Scenes. CVPR Adam B. Yedidia, Manel Baradad, Christos Thrampoulidis, William T. Freeman, Gregory W. Wornell
2018	Misc	`conf`	Analysis and Optimization of Aperture Design in Computational Imaging. ICASSP Adam B. Yedidia, Christos Thrampoulidis, Gregory W. Wornell
2018	J	`jnl`	Exploiting Occlusion in Non-Line-of-Sight Active Imaging. IEEE Trans. Computational Imaging Christos Thrampoulidis, Gal Shulkind, Feihu Xu, William T. Freeman, Jeffrey H. Shapiro, Antonio Torralba, Franco N. C. Wong, Gregory W. Wornell
2018	—	`conf`	Optimum Training for MIMO BPSK Transmission. SPAWC Ayed M. Alrashdi, Ismail Ben Atitallah, Tarig Ballal, Christos Thrampoulidis, Anas Chaaban, Tareq Y. Al-Naffouri
2018	J	`jnl`	Phase Retrieval via Polytope Optimization: Geometry, Phase Transitions, and New Algorithms. CoRR Oussama Dhifallah, Christos Thrampoulidis, Yue M. Lu
2018	J	`jnl`	Precise Error Analysis of Regularized M-Estimators in High Dimensions. IEEE Trans. Inf. Theory Christos Thrampoulidis, Ehsan Abbasi, Babak Hassibi
2018	J	`jnl`	Symbol Error Rate Performance of Box-Relaxation Decoders in Massive MIMO. IEEE Trans. Signal Process. Christos Thrampoulidis, Weiyu Xu, Babak Hassibi
2018	J	`jnl`	The Generalized Lasso for Sub-gaussian Measurements with Dithered Quantization. CoRR Christos Thrampoulidis, Ankit Singh Rawat
2018	—	`conf`	The Generalized Lasso for Sub-gaussian Observations with Dithered Quantization. Allerton Christos Thrampoulidis, Ankit Singh Rawat
2018	—	`conf`	The Performance Of Box-Relaxation Decoding In Massive MIMO With Low-Resolution ADCS. SSP Christos Thrampoulidis, Weiyu Xu
2017	Misc	`conf`	BER analysis of regularized least squares for BPSK recovery. ICASSP Ismail Ben Atitallah, Christos Thrampoulidis, Abla Kammoun, Tareq Y. Al-Naffouri, Babak Hassibi, Mohamed-Slim Alouini
2017	Misc	`conf`	Near-optimal sample complexity bounds for circulant binary embedding. ICASSP Samet Oymak, Christos Thrampoulidis, Babak Hassibi
2017	J	`jnl`	Phase Retrieval via Linear Programming: Fundamental Limits and Algorithmic Improvements. CoRR Oussama Dhifallah, Christos Thrampoulidis, Yue M. Lu
2017	—	`conf`	Phase retrieval via linear programming: Fundamental limits and algorithmic improvements. Allerton Oussama Dhifallah, Christos Thrampoulidis, Yue M. Lu
2017	Misc	`conf`	Phaseless super-resolution in the continuous domain. ICASSP Myung Cho, Christos Thrampoulidis, Weiyu Xu, Babak Hassibi
2017	J	`jnl`	Symbol Error Rate Performance of Box-relaxation Decoders in Massive MIMO. CoRR Christos Thrampoulidis, Weiyu Xu, Babak Hassibi
2017	B	`conf`	The BOX-LASSO with application to GSSK modulation in massive MIMO systems. ISIT Ismail Ben Atitallah, Christos Thrampoulidis, Abla Kammoun, Tareq Y. Al-Naffouri, Mohamed-Slim Alouini, Babak Hassibi
2016	Misc	`conf`	Ber analysis of the box relaxation for BPSK signal recovery. ICASSP Christos Thrampoulidis, Ehsan Abbasi, Weiyu Xu, Babak Hassibi
2016	B	`conf`	General performance metrics for the LASSO. ITW Ehsan Abbasi, Christos Thrampoulidis, Babak Hassibi
2016	J	`jnl`	Improved Bounds on the Epidemic Threshold of Exact SIS Models on Complex Networks. CoRR Navid Azizan Ruhi, Christos Thrampoulidis, Babak Hassibi
2016	—	`conf`	Improved bounds on the epidemic threshold of exact SIS models on complex networks. CDC Navid Azizan Ruhi, Christos Thrampoulidis, Babak Hassibi
2016	J	`jnl`	Optimal Placement of Distributed Energy Storage in Power Networks. IEEE Trans. Autom. Control. Christos Thrampoulidis, Subhonmesh Bose, Babak Hassibi
2016	J	`jnl`	Phaseless super-resolution in the continuous domain. CoRR Myung Cho, Christos Thrampoulidis, Weiyu Xu, Babak Hassibi
2016	J	`jnl`	Precise Error Analysis of Regularized M-estimators in High-dimensions. CoRR Christos Thrampoulidis, Ehsan Abbasi, Babak Hassibi
2015	J	`jnl`	Asymptotically Exact Error Analysis for the Generalized ℓ CoRR Christos Thrampoulidis, Ashkan Panahi, Babak Hassibi
2015	B	`conf`	Asymptotically exact error analysis for the generalized equation-LASSO. ISIT Christos Thrampoulidis, Ashkan Panahi, Babak Hassibi
2015	J	`jnl`	BER Analysis of the box relaxation for BPSK Signal Recovery. CoRR Christos Thrampoulidis, Ehsan Abbasi, Weiyu Xu, Babak Hassibi
2015	J	`jnl`	Isotropically Random Orthogonal Matrices: Performance of LASSO and Minimum Conic Singular Values. CoRR Christos Thrampoulidis, Babak Hassibi
2015	B	`conf`	Isotropically random orthogonal matrices: Performance of LASSO and minimum conic singular values. ISIT Christos Thrampoulidis, Babak Hassibi
2015	—	`conf`	LASSO with Non-linear Measurements is Equivalent to One With Linear Measurements. NIPS Christos Thrampoulidis, Ehsan Abbasi, Babak Hassibi
2015	Misc	`conf`	Precise error analysis of the LASSO. ICASSP Christos Thrampoulidis, Ashkan Panahi, Daniel Guo, Babak Hassibi
2015	—	`conf`	Precise high-dimensional error analysis of regularized M-estimators. Allerton Christos Thrampoulidis, Ehsan Abbasi, Babak Hassibi
2015	A*	`conf`	Regularized Linear Regression: A Precise Analysis of the Estimation Error. COLT Christos Thrampoulidis, Samet Oymak, Babak Hassibi
2015	J	`jnl`	The LASSO with Non-linear Measurements is Equivalent to One With Linear Measurements. CoRR Christos Thrampoulidis, Ehsan Abbasi, Babak Hassibi
2014	J	`jnl`	A Tight Version of the Gaussian min-max theorem in the Presence of Convexity. CoRR Christos Thrampoulidis, Samet Oymak, Babak Hassibi
2014	—	`conf`	Estimating structured signals in sparse noise: A precise noise sensitivity analysis. Allerton Christos Thrampoulidis, Babak Hassibi
2014	J	`jnl`	Simple Error Bounds for Regularized Noisy Linear Inverse Problems. CoRR Christos Thrampoulidis, Samet Oymak, Babak Hassibi
2014	B	`conf`	Simple error bounds for regularized noisy linear inverse problems. ISIT Christos Thrampoulidis, Samet Oymak, Babak Hassibi
2013	—	`conf`	On the distribution of energy storage in electricity grids. CDC Christos Thrampoulidis, Subhonmesh Bose, Babak Hassibi
2013	J	`jnl`	Optimal Placement of Distributed Energy Storage in Power Networks CoRR Christos Thrampoulidis, Subhonmesh Bose, Babak Hassibi
2013	J	`jnl`	Simple Bounds for Noisy Linear Inverse Problems with Exact Side Information. CoRR Samet Oymak, Christos Thrampoulidis, Babak Hassibi
2013	J	`jnl`	The Squared-Error of Generalized LASSO: A Precise Analysis. CoRR Samet Oymak, Christos Thrampoulidis, Babak Hassibi
2013	—	`conf`	The squared-error of generalized LASSO: A precise analysis. Allerton Samet Oymak, Christos Thrampoulidis, Babak Hassibi