CHRISTOS THRAMPOULIDIS
36 papers · 2015–2026 · 10 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 9 separate collaboration groups - the largest holds only 47% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which CHRISTOS THRAMPOULIDIS?
4 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Samet Oymak, Vala Vakilian, Ganesh Ramachandra Kini
17 papers
· 2015–2026
· NeurIPS, AAAI, ICLR
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For-Value: Efficient Forward-Only Data Valuation for finetuning LLMs and VLMs
ACL 2026
DARE the Extreme: Revisiting Delta-Parameter Pruning For Fine-Tuned Models
ICLR 2025
Class-Attribute Priors: Adapting Optimization to Heterogeneity and Fairness Objective
AAAI 2024
Engineering the Neural Collapse Geometry of Supervised-Contrastive Loss (Student Abstract)
AAAI 2024
Symmetric Neural-Collapse Representations with Supervised Contrastive Loss: The Impact of ReLU and Batching
ICLR 2024
Unlocking the Potential of Prompt-Tuning in Bridging Generalized and Personalized Federated Learning
CVPR 2024
On the Implicit Geometry of Cross-Entropy Parameterizations for Label-Imbalanced Data
AISTATS 2023
On the Role of Attention in Prompt-tuning
ICML 2023
FedNest: Federated Bilevel, Minimax, and Compositional Optimization
ICML 2022
Imbalance Trouble: Revisiting Neural-Collapse Geometry
NeurIPS 2022
AutoBalance: Optimized Loss Functions for Imbalanced Data
NeurIPS 2021
Label-Imbalanced and Group-Sensitive Classification under Overparameterization
NeurIPS 2021
Provable Benefits of Overparameterization in Model Compression: From Double Descent to Pruning Neural Networks
AAAI 2021
Theoretical Insights Into Multiclass Classification: A High-dimensional Asymptotic View
NeurIPS 2020
Lifting high-dimensional non-linear models with Gaussian regressors
AISTATS 2019
LASSO with Non-linear Measurements is Equivalent to One With Linear Measurements
NeurIPS 2015
Regularized Linear Regression: A Precise Analysis of the Estimation Error
COLT 2015
5 papers whose co-authors appear nowhere else under this name
Implicit Optimization Bias of Next-token Prediction in Linear Models
NeurIPS 2024
BiSLS/SPS: Auto-tune Step Sizes for Stable Bi-level Optimization
NeurIPS 2023
Mirror Descent Maximizes Generalized Margin and Can Be Implemented Efficiently
NeurIPS 2022
Benign Overfitting in Multiclass Classification: All Roads Lead to Interpolation
NeurIPS 2021
Using Unknown Occluders to Recover Hidden Scenes
CVPR 2019