| 2026 | ACL | For-Value: Efficient Forward-Only Data Valuation for finetuning LLMs and VLMs. | Wenlong Deng, Qi Zeng, Jiaming Zhang, Minghui Chen, Zixin Ding, Christos Thrampoulidis, Boying Gong, Xiaoxiao Li |
| 2026 | ISIT | Why Loss Re-weighting Works If You Stop Early: Training Dynamics of Unconstrained Features. | Yize Zhao, Christos Thrampoulidis |
| 2025 | ICLR | DARE the Extreme: Revisiting Delta-Parameter Pruning For Fine-Tuned Models. | Wenlong Deng, Yize Zhao, Vala Vakilian, Minghui Chen, Xiaoxiao Li, Christos Thrampoulidis |
| 2025 | ICLR | Sharper Guarantees for Learning Neural Network Classifiers with Gradient Methods. | Hossein Taheri, Christos Thrampoulidis, Arya Mazumdar |
| 2025 | ICML | Leveraging Online Olympiad-Level Math Problems for LLMs Training and Contamination-Resistant Evaluation. | Sadegh Mahdavi, Muchen Li, Kaiwen Liu, Christos Thrampoulidis, Leonid Sigal, Renjie Liao |
| 2024 | AAAI | Engineering the Neural Collapse Geometry of Supervised-Contrastive Loss (Student Abstract). | Jaidev Gill, Vala Vakilian, Christos Thrampoulidis |
| 2024 | AAAI | Class-Attribute Priors: Adapting Optimization to Heterogeneity and Fairness Objective. | Xuechen Zhang, Mingchen Li, Jiasi Chen, Christos Thrampoulidis, Samet Oymak |
| 2024 | CVPR | Unlocking the Potential of Prompt-Tuning in Bridging Generalized and Personalized Federated Learning. | Wenlong Deng, Christos Thrampoulidis, Xiaoxiao Li |
| 2024 | ICASSP | Fast Test Error Rates for Gradient-Based Algorithms on Separable Data. | Puneesh Deora, Bhavya Vasudeva, Vatsal Sharan, Christos Thrampoulidis |
| 2024 | ICASSP | Engineering the Neural Collapse Geometry of Supervised-Contrastive Loss. | Jaidev Gill, Vala Vakilian, Christos Thrampoulidis |
| 2024 | ICASSP | Revisiting the Equivalence of In-Context Learning and Gradient Descent: The Impact of Data Distribution. | Sadegh Mahdavi, Renjie Liao, Christos Thrampoulidis |
| 2024 | ICLR | Symmetric Neural-Collapse Representations with Supervised Contrastive Loss: The Impact of ReLU and Batching. | Ganesh Ramachandra Kini, Vala Vakilian, Tina Behnia, Jaidev Gill, Christos Thrampoulidis |
| 2024 | ICLR | Memorization Capacity of Multi-Head Attention in Transformers. | Sadegh Mahdavi, Renjie Liao, Christos Thrampoulidis |
| 2024 | ISIT | Supervised Contrastive Representation Learning: Landscape Analysis with Unconstrained Features. | Tina Behnia, Christos Thrampoulidis |
| 2023 | AAAI | Fast Convergence in Learning Two-Layer Neural Networks with Separable Data. | Hossein Taheri, Christos Thrampoulidis |
| 2023 | AISTATS | On the Implicit Geometry of Cross-Entropy Parameterizations for Label-Imbalanced Data. | Tina Behnia, Ganesh Ramachandra Kini, Vala Vakilian, Christos Thrampoulidis |
| 2023 | AISTATS | On Generalization of Decentralized Learning with Separable Data. | Hossein Taheri, Christos Thrampoulidis |
| 2023 | ICASSP | On Weighted Cross-Entropy for Label-Imbalanced Separable Data: An Algorithmic-Stability Study. | Puneesh Deora, Christos Thrampoulidis |
| 2023 | ICML | On the Role of Attention in Prompt-tuning. | Samet Oymak, Ankit Singh Rawat, Mahdi Soltanolkotabi, Christos Thrampoulidis |
| 2022 | ICML | FedNest: Federated Bilevel, Minimax, and Compositional Optimization. | Davoud Ataee Tarzanagh, Mingchen Li, Christos Thrampoulidis, Samet Oymak |
| 2022 | ISIT | On how to avoid exacerbating spurious correlations when models are overparameterized. | Tina Behnia, Ke Wang, Christos Thrampoulidis |
| 2022 | ISIT | Multi-Environment Meta-Learning in Stochastic Linear Bandits. | Ahmadreza Moradipari, Mohammad Ghavamzadeh, Taha Rajabzadeh, Christos Thrampoulidis, Mahnoosh Alizadeh |
| 2022 | ISIT | Asymptotic Behavior of Adversarial Training in Binary Linear Classification. | Hossein Taheri, Ramtin Pedarsani, Christos Thrampoulidis |
| 2021 | AAAI | Decentralized Multi-Agent Linear Bandits with Safety Constraints. | Sanae Amani, Christos Thrampoulidis |
| 2021 | AAAI | Provable Benefits of Overparameterization in Model Compression: From Double Descent to Pruning Neural Networks. | Xiangyu Chang, Yingcong Li, Samet Oymak, Christos Thrampoulidis |
| 2021 | AISTATS | Fundamental Limits of Ridge-Regularized Empirical Risk Minimization in High Dimensions. | Hossein Taheri, Ramtin Pedarsani, Christos Thrampoulidis |
| 2021 | CISS | Safe Linear Bandits. | Ahmadreza Moradipari, Sanae Amani, Mahnoosh Alizadeh, Christos Thrampoulidis |
| 2021 | ICASSP | Phase Transitions for One-Vs-One and One-Vs-All Linear Separability in Multiclass Gaussian Mixtures. | Ganesh Ramachandra Kini, Christos Thrampoulidis |
| 2021 | ICASSP | Benign Overfitting in Binary Classification of Gaussian Mixtures. | Ke Wang, Christos Thrampoulidis |
| 2021 | ICML | Safe Reinforcement Learning with Linear Function Approximation. | Sanae Amani, Christos Thrampoulidis, Lin Yang |
| 2021 | ISIT | Regret Bounds for Safe Gaussian Process Bandit Optimization. | Sanae Amani, Mahnoosh Alizadeh, Christos Thrampoulidis |
| 2020 | AISTATS | Sharp Asymptotics and Optimal Performance for Inference in Binary Models. | Hossein Taheri, Ramtin Pedarsani, Christos Thrampoulidis |
| 2020 | ICASSP | Generalized Linear Bandits with Safety Constraints. | Sanae Amani, Mahnoosh Alizadeh, Christos Thrampoulidis |
| 2020 | ICASSP | A Model of Double Descent for High-Dimensional Logistic Regression. | Zeyu Deng, Abla Kammoun, Christos Thrampoulidis |
| 2020 | ICASSP | Linear Thompson Sampling Under Unknown Linear Constraints. | Ahmadreza Moradipari, Mahnoosh Alizadeh, Christos Thrampoulidis |
| 2020 | ISIT | Analytic Study of Double Descent in Binary Classification: The Impact of Loss. | Ganesh Ramachandra Kini, Christos Thrampoulidis |
| 2020 | ISIT | Optimality of Least-squares for Classification in Gaussian-Mixture Models. | Hossein Taheri, Ramtin Pedarsani, Christos Thrampoulidis |
| 2019 | AISTATS | Lifting high-dimensional non-linear models with Gaussian regressors. | Christos Thrampoulidis, Ankit Singh Rawat |
| 2019 | CVPR | Using Unknown Occluders to Recover Hidden Scenes. | Adam B. Yedidia, Manel Baradad, Christos Thrampoulidis, William T. Freeman, Gregory W. Wornell |
| 2019 | ICASSP | Near-optimal Coded Apertures for Imaging via Nazarov's Theorem. | Ganesh Ajjanagadde, Christos Thrampoulidis, Adam B. Yedidia, Gregory W. Wornell |
| 2019 | ICASSP | A Simple Bound on the BER of the Map Decoder for Massive MIMO Systems. | Christos Thrampoulidis, Ilias Zadik, Yury Polyanskiy |
| 2019 | ISIT | Improved bounds on Gaussian MAC and sparse regression via Gaussian inequalities. | Ilias Zadik, Yury Polyanskiy, Christos Thrampoulidis |
| 2018 | ICASSP | Analysis and Optimization of Aperture Design in Computational Imaging. | Adam B. Yedidia, Christos Thrampoulidis, Gregory W. Wornell |
| 2017 | ICASSP | BER analysis of regularized least squares for BPSK recovery. | Ismail Ben Atitallah, Christos Thrampoulidis, Abla Kammoun, Tareq Y. Al-Naffouri, Babak Hassibi, Mohamed-Slim Alouini |
| 2017 | ICASSP | Phaseless super-resolution in the continuous domain. | Myung Cho, Christos Thrampoulidis, Weiyu Xu, Babak Hassibi |
| 2017 | ICASSP | Near-optimal sample complexity bounds for circulant binary embedding. | Samet Oymak, Christos Thrampoulidis, Babak Hassibi |
| 2017 | ISIT | The BOX-LASSO with application to GSSK modulation in massive MIMO systems. | Ismail Ben Atitallah, Christos Thrampoulidis, Abla Kammoun, Tareq Y. Al-Naffouri, Mohamed-Slim Alouini, Babak Hassibi |
| 2016 | ICASSP | Ber analysis of the box relaxation for BPSK signal recovery. | Christos Thrampoulidis, Ehsan Abbasi, Weiyu Xu, Babak Hassibi |
| 2016 | ITW | General performance metrics for the LASSO. | Ehsan Abbasi, Christos Thrampoulidis, Babak Hassibi |
| 2015 | COLT | Regularized Linear Regression: A Precise Analysis of the Estimation Error. | Christos Thrampoulidis, Samet Oymak, Babak Hassibi |
| 2015 | ICASSP | Precise error analysis of the LASSO. | Christos Thrampoulidis, Ashkan Panahi, Daniel Guo, Babak Hassibi |
| 2015 | ISIT | Isotropically random orthogonal matrices: Performance of LASSO and minimum conic singular values. | Christos Thrampoulidis, Babak Hassibi |
| 2015 | ISIT | Asymptotically exact error analysis for the generalized equation-LASSO. | Christos Thrampoulidis, Ashkan Panahi, Babak Hassibi |
| 2014 | ISIT | Simple error bounds for regularized noisy linear inverse problems. | Christos Thrampoulidis, Samet Oymak, Babak Hassibi |