Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Gaussian Processes for Individualized Continuous Treatment Rule
  Estimation   Individualized treatment rule (ITR) recommends treatment on the basis of
individual patient characteristics and the previous history of applied
treatments and their outcomes. Despite the fact there are many ways to estimate
ITR with binary treatment, algorithms for continuous treatment have only just
started to emerge. We propose a novel approach to continuous ITR estimation
based on explicit modelling of uncertainty in the subject's outcome as well as
direct estimation of the mean outcome using gaussian process regression. Our
method incorporates two intuitively appealing properties - it is more inclined
to give a treatment with the outcome of higher expected value and lower
variance. Experiments show that this direct incorporation of the uncertainty
into ITR estimation process allows to select better treatment than standard
indirect approach that just models the average. Compared to the competitors
(including OWL), the proposed method shows improved performance in terms of
value function maximization, has better interpretability, and could be easier
generalized to multiple interdependent continuous treatments setting.

19
The categories of this paper are: eess
13
The categories of this paper are: quant-ph
35
The categories of this paper are: mtrl-th
26
The categories of this paper are: bayes-an
6
The categories of this paper are: astro-ph
14
The categories of this paper are: math-ph
17
The categories of this paper are: q-fin
4
The categories of this paper are: cond-mat
24
The categories of this paper are: dg-ga
22
The categories of this paper are: chao-dyn
15
The categories of this paper are: nucl-ex
2
The categories of this paper are: math
28
The categories of this paper are: alg-geom
1
The categories of this paper are: cs
36
The categories of this paper are: cmp-lg
8
The categories of this paper are: hep-ex