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Found 4 papers, 1 papers with code
Fault-Tolerant Vertical Federated Learning on Dynamic Networks
Vertical Federated learning (VFL) is a class of FL where each client shares the same sample space but only holds a subset of the features.
Towards Characterizing Domain Counterfactuals For Invertible Latent Causal Models
Answering counterfactual queries has important applications such as explainability, robustness, and fairness but is challenging when the causal variables are unobserved and the observations are non-linear mixtures of these latent variables, such as pixels in images.
Regenerative Particle Thompson Sampling
Particle Thompson sampling (PTS) is an approximation of Thompson sampling obtained by simply replacing the continuous distribution by a discrete distribution supported at a set of weighted static particles.
Iterative Alignment Flows
Existing flow-based approaches estimate multiple flows independently, which is equivalent to learning multiple full generative models.
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