Bounds on performance

Asymptotic Distribution of Stochastic Mirror Descent Iterates in Average Ensemble Models

On weighted cross-entropy for label-imbalanced separable data: An algorithmic-stability study

Is Quality Enough? Integrating Energy Consumption in a Large-Scale Evaluation of Neural Audio Synthesis Models

A Closer Look at Scoring Functions and Generalization Prediction

Communication-Constrained Exchange of Zeroth-Order Information with Application to Collaborative Target Tracking

On the Value of Stochastic Side Information in Online Learning

Batch Normalization damages Federated Learning on Non-IID data: Analysis and Remedy

Local Graph-homomorphic Processing for Privatized Distributed Systems

Optimal Compression for Minimizing Classification Error Probability: an Information-Theoretic Approach