Jiaming Song

Discriminative Nonparametric Latent Feature Relational Models with Data Augmentation

2016 · Proceedings of the AAAI Conference on Artificial Intelligence

We present a discriminative nonparametric latent feature relational model (LFRM) for link prediction to automatically infer the dimensionality of latent features. Under the generic RegBayes (regularized Bayesian inference) framework, we handily incorporate the prediction loss …

Multi-Agent Adversarial Inverse Reinforcement Learning.

2019 · arXiv (Cornell University)

Reinforcement learning agents are prone to undesired behaviors due to reward mis-specification. Finding a set of reward functions to properly guide agent behaviors is particularly challenging in multi-agent scenarios. Inverse reinforcement learning provides a framework …

Permutation Invariant Graph Generation via Score-Based Generative Modeling

2020 · arXiv (Cornell University)

Learning generative models for graph-structured data is challenging because graphs are discrete, combinatorial, and the underlying data distribution is invariant to the ordering of nodes. However, most of the existing generative models for graphs are …