Robust Streaming PCA
This work analyzes the convergence of the noisy power method and Oja's algorithm, both studied for the stationary data generating model, and argues that the noisy power method is rate-optimal in this setting.
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This work analyzes the convergence of the noisy power method and Oja's algorithm, both studied for the stationary data generating model, and argues that the noisy power method is rate-optimal in this setting.
DPAIL, an adversarial IL framework that leverages diffusion models as a policy class to enhance expressiveness, trains a diffusion policy using a binary cross-entropy objective to distinguish expert trajectories from generated ones to enable optimization of the diffusion policy.
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