Learning Graphical Models
Learning to Attack Federated Learning: A Model-based Reinforcement Learning Attack Framework
Markov processes over denumerable products of spaces, describing large systems of automata.
Transformer-based Working Memory for Multiagent Reinforcement Learning with Action Parsing Y aodong Y ang
Our second contribution is to introduce an action semantic inductive bias and implement it with a technique named Entity-Bound Action Layer.
Concrete Score Matching: Generalized Score Matching for Discrete Data
Representing probability distributions by the gradient of their density functions has proven effective in modeling a wide range of continuous data modalities.
Concrete Score Matching: Generalized Score Matching for Discrete Data
Representing probability distributions by the gradient of their density functions has proven effective in modeling a wide range of continuous data modalities.
Black-box Coreset Variational Inference Dionysis Manousakas Meta
Unfortunately, Sparse VI and PSVI rely on access to exact samples from the model posterior and closed form gradients of it to be evaluated and updated.
