4 papers
Learning DNF through Generalized Fourier Representations
Mohsen Heidari, Roni Khardon
The Boolean Fourier representation has been widely used in learning theory, particularly for learning Disjunctive Normal Form (DNF) under uniform and product distributions. Extendi…
Improving planning and MBRL with temporally-extended actions
Palash Chatterjee, Roni Khardon
Continuous time systems are often modeled using discrete time dynamics but this requires a small simulation step to maintain accuracy. In turn, this requires a large planning horiz…
Stability-based Generalization Bounds for Variational Inference
Yadi Wei, Roni Khardon
Variational inference (VI) is widely used for approximate inference in Bayesian machine learning. In addition to this practical success, generalization bounds for variational infer…
Variational Inference on the Final-Layer Output of Neural Networks
Yadi Wei, Roni Khardon
Traditional neural networks are simple to train but they typically produce overconfident predictions. In contrast, Bayesian neural networks provide good uncertainty quantification…