Visualizations themselves have become a data format. Akin to other data formats such as
text and images, visualizations are increasingly created, stored, shared, and (re-) used with …

Recent advances in Large Language Models (LLM) have made automatic code generation
possible for real-world programming tasks in general-purpose programming languages …

Modern program synthesizers are increasingly delivering on their promise of lightening the
burden of programming by automatically generating code, but little research has addressed …

Cost analysis, also known as resource usage analysis, is the task of finding bounds on the
total cost of a program and is a well-studied problem in static analysis. In this work, we …

With most modern visualization tools, authors need to transform their data into tidy formats to
create visualizations they want. Because this requires experience with programming or …

Exploratory data science largely happens in computational notebooks with dataframe APIs,
such as pandas, that support flexible means to transform, clean, and analyze data. Yet …

Programming-by-example (PBE) has become an increasingly popular component in
software development tools, human-robot interaction, and end-user programming. A long …

Modern visualization tools aim to allow data analysts to easily create exploratory
visualizations. When the input data layout conforms to the visualization design, users can …

We consider the quantitative problem of obtaining lower-bounds on the probability of
termination of a given non-deterministic probabilistic program. Specifically, given a non …

In this paper, we present a new program synthesis algorithm based on reinforcement
learning. Given an initial policy (ie statistical model) trained off-line, our method uses this …