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Beyond the training set: an intuitive method for detecting distribution
  shift in model-based optimization

Beyond the training set: an intuitive method for detecting distribution shift in model-based optimization

9 November 2023
Farhan N. Damani
David H. Brookes
Theodore Sternlieb
Cameron Webster
Stephen Malina
Rishi Jajoo
Kathy Lin
Sam Sinai
    OffRL
ArXivPDFHTML

Papers citing "Beyond the training set: an intuitive method for detecting distribution shift in model-based optimization"

4 / 4 papers shown
Title
Estimating the Density Ratio between Distributions with High Discrepancy
  using Multinomial Logistic Regression
Estimating the Density Ratio between Distributions with High Discrepancy using Multinomial Logistic Regression
Akash Srivastava
Seung-Jun Han
Kai Xu
Benjamin Rhodes
Michael U. Gutmann
39
11
0
01 May 2023
Bayesian Optimization with Conformal Prediction Sets
Bayesian Optimization with Conformal Prediction Sets
Samuel Stanton
Wesley J. Maddox
A. Wilson
45
24
0
22 Oct 2022
A primer on model-guided exploration of fitness landscapes for
  biological sequence design
A primer on model-guided exploration of fitness landscapes for biological sequence design
Sam Sinai
Eric D. Kelsic
42
28
0
04 Oct 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
276
5,675
0
05 Dec 2016
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