6 citations · 9 across the 5 of their papers we have counts for
10 papers
Automatic Guide Generation for Stan via NumPyro
Guillaume Baudart, Louis Mandel
Stan is a very popular probabilistic language with a state-of-the-art HMC sampler but it only offers a limited choice of algorithms for black-box variational inference. In this pap…
Learning GraphQL Query Costs (Extended Version)
Georgios Mavroudeas, Guillaume Baudart, Alan Cha +5
GraphQL is a query language for APIs and a runtime for executing those queries, fetching the requested data from existing microservices, REST APIs, databases, or other sources. Its…
A Principled Approach to GraphQL Query Cost Analysis
Alan Cha, Erik Wittern, Guillaume Baudart +3
The landscape of web APIs is evolving to meet new client requirements and to facilitate how providers fulfill them. A recent web API model is GraphQL, which is both a query languag…
Lale: Consistent Automated Machine Learning
Guillaume Baudart, Martin Hirzel, Kiran Kate +2
Automated machine learning makes it easier for data scientists to develop pipelines by searching over possible choices for hyperparameters, algorithms, and even pipeline topologies…
Mining Documentation to Extract Hyperparameter Schemas
Guillaume Baudart, Peter D. Kirchner, Martin Hirzel +1
AI automation tools need machine-readable hyperparameter schemas to define their search spaces. At the same time, AI libraries often come with good human-readable documentation. Wh…
Reactive Probabilistic Programming
Guillaume Baudart, Louis Mandel, Eric Atkinson +3
Synchronous modeling is at the heart of programming languages like Lustre, Esterel, or Scade used routinely for implementing safety critical control software, e.g., fly-by-wire and…