From the 1 of 4 linked papers with an AI index.
4 papers
Revisiting Neural Processes via Fourier Transform and Volterra Series
Peiman Mohseni, Nick Duffield, Raymond K. W. Wong
The paper introduces translation‑equivariant neural processes that use a Volterra series expansion and set Fourier convolutions to model irregularly sampled data with analytical tr…
Low-rank Distributional Matrix Completion
Jiayi Wang, Raymond K. W. Wong
We study a distributional generalization of the matrix completion problem in which each entry of the target matrix is a probability distribution rather than a scalar. In this setti…
A Principled Path to Fitted Distributional Evaluation
Sungee Hong, Jiayi Wang, Zhengling Qi +1
In reinforcement learning, distributional off-policy evaluation (OPE) focuses on estimating the return distribution of a target policy using offline data collected under a differen…
Distributional Off-policy Evaluation with Bellman Residual Minimization
Sungee Hong, Zhengling Qi, Raymond K. W. Wong
We study distributional off-policy evaluation (OPE), of which the goal is to learn the distribution of the return for a target policy using offline data generated by a different po…