16 citations · 17 across the 3 of their papers we have counts for
3 papers
cs.CL2021★ 1 cited
Discovering Non-monotonic Autoregressive Orderings with Variational Inference
Xuanlin Li, Brandon Trabucco, Dong Huk Park +4
The predominant approach for language modeling is to process sequences from left to right, but this eliminates a source of information: the order by which the sequence was generate…
cs.LG2019★ 16 cited
Synthetic Datasets for Neural Program Synthesis
Richard Shin, Neel Kant, Kavi Gupta +4
The goal of program synthesis is to automatically generate programs in a particular language from corresponding specifications, e.g. input-output behavior. Many current approaches…
cs.LG2019
Inferring the Optimal Policy using Markov Chain Monte Carlo
Brandon Trabucco, Albert Qu, Simon Li +1
This paper investigates methods for estimating the optimal stochastic control policy for a Markov Decision Process with unknown transition dynamics and an unknown reward function.…