Christos Thrampoulidis
4 papers in the PaperMetrix corpus
Papers by this author
-
Binary Classification of Gaussian Mixtures: Abundance of Support Vectors, Benign Overfitting and Regularization
2020 · arXiv (Cornell University)
Deep neural networks generalize well despite being exceedingly overparameterized and being trained without explicit regularization. This curious phenomenon has inspired extensive research activity in establishing its statistical principles: Under what conditions is it observed? How …
-
Generalization and Stability of Interpolating Neural Networks with Minimal Width
2023 · arXiv (Cornell University)
We investigate the generalization and optimization properties of shallow neural-network classifiers trained by gradient descent in the interpolating regime. Specifically, in a realizable scenario where model weights can achieve arbitrarily small training error $ε$ and …
-
Class-attribute Priors: Adapting Optimization to Heterogeneity and Fairness Objective
2024 · arXiv (Cornell University)
Modern classification problems exhibit heterogeneities across individual classes: Each class may have unique attributes, such as sample size, label quality, or predictability (easy vs difficult), and variable importance at test-time. Without care, these heterogeneities impede …
-
Token Hidden Reward: Steering Exploration-Exploitation in Group Relative Deep Reinforcement Learning
2025 · arXiv (Cornell University)
Reinforcement learning with verifiable rewards has significantly advanced the reasoning capabilities of large language models, yet how to explicitly steer training toward exploration or exploitation remains an open problem. We introduce Token Hidden Reward (THR), …