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Stability and Generalization of Stochastic Compositional Gradient Descent Alg...
The dataset used in the paper is a stochastic compositional optimization problem, which is a type of machine learning task. The dataset is not explicitly described, but it is... -
GENERALIZING SKILLS WITH SEMI-SUPERVISED REINFORCEMENT LEARNING
Deep reinforcement learning (RL) can acquire complex behaviors from low-level inputs, such as images. However, real-world applications of such methods require generalizing to... -
Robust Generative Adversarial Network
Generative adversarial networks (GANs) are powerful gen-erative models, but usually suffer from instability and generalization problem which may lead to poor generations. -
Generalization of Scaled Deep ResNets in the Mean-Field Regime
The dataset used in the paper is a binary classification dataset, where the goal is to find a hypothesis (i.e., a ResNet used in this work) f : X → Y such that f (x; Θ)... -
Procgen Dataset
The dataset used in the experiments, which contains procedurally generated environments.
