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Balanced Policy Evaluation and Learning

Balanced Policy Evaluation and Learning

21 May 2017
Nathan Kallus
    CML
    OffRL
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Papers citing "Balanced Policy Evaluation and Learning"

17 / 17 papers shown
Title
Individualized Policy Evaluation and Learning under Clustered Network Interference
Individualized Policy Evaluation and Learning under Clustered Network Interference
Yi Zhang
Kosuke Imai
OffRL
136
1
0
04 Nov 2023
Confounding-Robust Policy Improvement with Human-AI Teams
Confounding-Robust Policy Improvement with Human-AI Teams
Ruijiang Gao
Mingzhang Yin
220
3
0
13 Oct 2023
Safe Policy Learning through Extrapolation: Application to Pre-trial Risk Assessment
Safe Policy Learning through Extrapolation: Application to Pre-trial Risk Assessment
Eli Ben-Michael
D. J. Greiner
Kosuke Imai
Zhichao Jiang
OffRL
119
22
0
22 Sep 2021
Confounding-Robust Policy Improvement
Confounding-Robust Policy Improvement
Nathan Kallus
Angela Zhou
CML
OffRL
156
152
0
22 May 2018
Policy Evaluation and Optimization with Continuous Treatments
Policy Evaluation and Optimization with Continuous Treatments
Nathan Kallus
Angela Zhou
OffRL
81
132
0
16 Feb 2018
Policy Learning with Observational Data
Policy Learning with Observational Data
Susan Athey
Stefan Wager
CML
OffRL
233
183
0
09 Feb 2017
Generalized Optimal Matching Methods for Causal Inference
Generalized Optimal Matching Methods for Causal Inference
Nathan Kallus
101
108
0
26 Dec 2016
Recursive Partitioning for Personalization using Observational Data
Recursive Partitioning for Personalization using Observational Data
Nathan Kallus
CML
67
99
0
31 Aug 2016
Optimal A Priori Balance in the Design of Controlled Experiments
Optimal A Priori Balance in the Design of Controlled Experiments
Nathan Kallus
58
95
0
02 Dec 2013
Counterfactual Reasoning and Learning Systems
Counterfactual Reasoning and Learning Systems
Léon Bottou
J. Peters
J. Q. Candela
Denis Xavier Charles
D. M. Chickering
Elon Portugaly
Dipankar Ray
Patrice Y. Simard
Edward Snelson
CML
OffRL
199
781
0
11 Sep 2012
Performance guarantees for individualized treatment rules
Performance guarantees for individualized treatment rules
Min Qian
Susan Murphy
123
556
0
17 May 2011
Doubly Robust Policy Evaluation and Learning
Doubly Robust Policy Evaluation and Learning
Miroslav Dudík
John Langford
Lihong Li
OffRL
173
694
0
23 Mar 2011
Unbiased Offline Evaluation of Contextual-bandit-based News Article
  Recommendation Algorithms
Unbiased Offline Evaluation of Contextual-bandit-based News Article Recommendation Algorithms
Lihong Li
Wei Chu
John Langford
Xuanhui Wang
OffRL
159
574
0
31 Mar 2010
Universality, Characteristic Kernels and RKHS Embedding of Measures
Universality, Characteristic Kernels and RKHS Embedding of Measures
Bharath K. Sriperumbudur
Kenji Fukumizu
Gert R. G. Lanckriet
164
526
0
03 Mar 2010
Learning from Logged Implicit Exploration Data
Learning from Logged Implicit Exploration Data
Alexander L. Strehl
John Langford
Sham Kakade
Lihong Li
OffRL
116
254
0
27 Feb 2010
The Offset Tree for Learning with Partial Labels
The Offset Tree for Learning with Partial Labels
A. Beygelzimer
John Langford
128
184
0
21 Dec 2008
A Kernel Method for the Two-Sample Problem
A Kernel Method for the Two-Sample Problem
Arthur Gretton
Karsten Borgwardt
Malte J. Rasch
Bernhard Schölkopf
Alex Smola
179
2,352
0
15 May 2008
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