Design by adaptive sampling

10/08/2018
by   David H. Brookes, et al.
0

We present a probabilistic modeling framework and adaptive sampling algorithm wherein unsupervised generative models are combined with black box predictive models to tackle the problem of input design. In input design, one is given one or more stochastic "oracle" predictive functions, each of which maps from the input design space (e.g. DNA sequences or images) to a distribution over a property of interest (e.g. protein fluorescence or image content). Given such stochastic oracles, the problem is to find an input that is expected to maximize one or more properties, or to achieve a specified value of one or more properties, or any combination thereof. We demonstrate experimentally that our approach substantially outperforms other recently presented methods for tackling a specific version of this problem, namely, maximization when the oracle is assumed to be deterministic and unbiased. We also demonstrate that our method can tackle more general versions of the problem.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
01/29/2019

Conditioning by adaptive sampling for robust design

We present a new method for design problems wherein the goal is to maxim...
research
12/17/2017

Generating and designing DNA with deep generative models

We propose generative neural network methods to generate DNA sequences a...
research
10/20/2022

Intramorphic Testing: A New Approach to the Test Oracle Problem

A test oracle determines whether a system behaves correctly for a given ...
research
05/22/2020

Fast differentiable DNA and protein sequence optimization for molecular design

Designing DNA and protein sequences with improved or novel function has ...
research
06/26/2019

The Complexity of Black-Box Mechanism Design with Priors

We study black-box reductions from mechanism design to algorithm design ...
research
08/14/2018

Adaptive Sampling for Convex Regression

In this paper, we introduce the first principled adaptive-sampling proce...
research
05/29/2019

Hijacking Malaria Simulators with Probabilistic Programming

Epidemiology simulations have become a fundamental tool in the fight aga...

Please sign up or login with your details

Forgot password? Click here to reset