Optimization
Optimal and Practical Algorithms for Smooth and Strongly Convex Decentralized Optimization
Problems of this form have been traditionally studied in the signal processing community (Xu et al.,
Optimal and Practical Algorithms for Smooth and Strongly Convex Decentralized Optimization
Problems of this form have been traditionally studied in the signal processing community (Xu et al.,
Characterization of Excess Risk for Locally Strongly Convex Population Risk
The core problem in machine learning is obtaining a model that generalizes well on unseen test data. The excess risk decides the model's performance on these unseen data, and it can be decomposed
Characterization of Excess Risk for Locally Strongly Convex Population Risk
The core problem in machine learning is obtaining a model that generalizes well on unseen test data. The excess risk decides the model's performance on these unseen data, and it can be decomposed
