
BANANAS: Bayesian Optimization with Neural Architectures for Neural Architecture Search
Neural Architecture Search (NAS) has seen an explosion of research in th...
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ChemBO: Bayesian Optimization of Small Organic Molecules with Synthesizable Recommendations
We describe ChemBO, a Bayesian Optimization framework for generating and...
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Tuning Hyperparameters without Grad Students: Scalable and Robust Bayesian Optimisation with Dragonfly
Bayesian Optimisation (BO), refers to a suite of techniques for global o...
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ProBO: a Framework for Using Probabilistic Programming in Bayesian Optimization
Optimizing an expensivetoquery function is a common task in science an...
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Geometric Generalization Based ZeroShot Learning Dataset Infinite World: Simple Yet Powerful
Raven's Progressive Matrices are one of the widely used tests in evaluat...
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Myopic Bayesian Design of Experiments via Posterior Sampling and Probabilistic Programming
We design a new myopic strategy for a wide class of sequential design of...
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Neural Architecture Search with Bayesian Optimisation and Optimal Transport
Bayesian Optimisation (BO) refers to a class of methods for global optim...
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Performance Bounds for Graphical Record Linkage
Record linkage involves merging records in large, noisy databases to rem...
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PostInference Prior Swapping
While Bayesian methods are praised for their ability to incorporate usef...
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Embarrassingly Parallel Variational Inference in Nonconjugate Models
We develop a parallel variational inference (VI) procedure for use in da...
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Fast Function to Function Regression
We analyze the problem of regression when both input covariates and outp...
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Parallel and Distributed BlockCoordinate FrankWolfe Algorithms
We develop parallel and distributed FrankWolfe algorithms; the former o...
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Asymptotically Exact, Embarrassingly Parallel MCMC
Communication costs, resulting from synchronization requirements during ...
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Unsupervised Detection and Tracking of Arbitrary Objects with Dependent Dirichlet Process Mixtures
This paper proposes a technique for the unsupervised detection and track...
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Willie Neiswanger
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