Willie Neiswanger | DeepAI

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∙ 10/25/2019

BANANAS: Bayesian Optimization with Neural Architectures for Neural Architecture Search

Neural Architecture Search (NAS) has seen an explosion of research in th...

0 Colin White, et al. ∙

∙ 08/05/2019

ChemBO: Bayesian Optimization of Small Organic Molecules with Synthesizable Recommendations

We describe ChemBO, a Bayesian Optimization framework for generating and...

0 Ksenia Korovina, et al. ∙

∙ 03/15/2019

Tuning Hyperparameters without Grad Students: Scalable and Robust Bayesian Optimisation with Dragonfly

Bayesian Optimisation (BO), refers to a suite of techniques for global o...

14 Kirthevasan Kandasamy, et al. ∙

∙ 01/31/2019

ProBO: a Framework for Using Probabilistic Programming in Bayesian Optimization

Optimizing an expensive-to-query function is a common task in science an...

18 Willie Neiswanger, et al. ∙

∙ 07/10/2018

Geometric Generalization Based Zero-Shot Learning Dataset Infinite World: Simple Yet Powerful

Raven's Progressive Matrices are one of the widely used tests in evaluat...

4 Rajesh Chidambaram, et al. ∙

∙ 05/25/2018

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...

0 Kirthevasan Kandasamy, et al. ∙

∙ 02/11/2018

Neural Architecture Search with Bayesian Optimisation and Optimal Transport

Bayesian Optimisation (BO) refers to a class of methods for global optim...

0 Kirthevasan Kandasamy, et al. ∙

∙ 03/08/2017

Performance Bounds for Graphical Record Linkage

Record linkage involves merging records in large, noisy databases to rem...

0 Rebecca C. Steorts, et al. ∙

∙ 06/02/2016

Post-Inference Prior Swapping

While Bayesian methods are praised for their ability to incorporate usef...

0 Willie Neiswanger, et al. ∙

∙ 10/14/2015

Embarrassingly Parallel Variational Inference in Nonconjugate Models

We develop a parallel variational inference (VI) procedure for use in da...

0 Willie Neiswanger, et al. ∙

∙ 10/27/2014

Fast Function to Function Regression

We analyze the problem of regression when both input covariates and outp...

0 Junier Oliva, et al. ∙

∙ 09/22/2014

Parallel and Distributed Block-Coordinate Frank-Wolfe Algorithms

We develop parallel and distributed Frank-Wolfe algorithms; the former o...

0 Yu-Xiang Wang, et al. ∙

∙ 11/19/2013

Asymptotically Exact, Embarrassingly Parallel MCMC

Communication costs, resulting from synchronization requirements during ...

0 Willie Neiswanger, et al. ∙

∙ 10/11/2012

Unsupervised Detection and Tracking of Arbitrary Objects with Dependent Dirichlet Process Mixtures

This paper proposes a technique for the unsupervised detection and track...

0 Willie Neiswanger, et al. ∙

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