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Policy Evaluation and Optimization with Continuous Treatments

Policy Evaluation and Optimization with Continuous Treatments

16 February 2018
Nathan Kallus
Angela Zhou
    OffRL
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Papers citing "Policy Evaluation and Optimization with Continuous Treatments"

29 / 79 papers shown
Title
Provably Efficient Causal Reinforcement Learning with Confounded
  Observational Data
Provably Efficient Causal Reinforcement Learning with Confounded Observational Data
Lingxiao Wang
Zhuoran Yang
Zhaoran Wang
OffRL
31
45
0
22 Jun 2020
Efficient Contextual Bandits with Continuous Actions
Efficient Contextual Bandits with Continuous Actions
Maryam Majzoubi
Chicheng Zhang
Rajan Chari
A. Krishnamurthy
John Langford
Aleksandrs Slivkins
OffRL
29
32
0
10 Jun 2020
Doubly Robust Off-Policy Value and Gradient Estimation for Deterministic
  Policies
Doubly Robust Off-Policy Value and Gradient Estimation for Deterministic Policies
Nathan Kallus
Masatoshi Uehara
OffRL
16
15
0
06 Jun 2020
Counterfactual Learning of Stochastic Policies with Continuous Actions:
  from Models to Offline Evaluation
Counterfactual Learning of Stochastic Policies with Continuous Actions: from Models to Offline Evaluation
Houssam Zenati
A. Bietti
Matthieu Martin
Eustache Diemert
Pierre Gaillard
Julien Mairal
OffRL
CML
25
4
0
22 Apr 2020
Comment: Entropy Learning for Dynamic Treatment Regimes
Comment: Entropy Learning for Dynamic Treatment Regimes
Nathan Kallus
8
4
0
06 Apr 2020
Estimating the Effects of Continuous-valued Interventions using
  Generative Adversarial Networks
Estimating the Effects of Continuous-valued Interventions using Generative Adversarial Networks
Ioana Bica
James Jordon
M. Schaar
CML
32
105
0
27 Feb 2020
Adaptive Estimator Selection for Off-Policy Evaluation
Adaptive Estimator Selection for Off-Policy Evaluation
Yi-Hsun Su
Pavithra Srinath
A. Krishnamurthy
OffRL
6
45
0
18 Feb 2020
Efficient Policy Learning from Surrogate-Loss Classification Reductions
Efficient Policy Learning from Surrogate-Loss Classification Reductions
Andrew Bennett
Nathan Kallus
OffRL
31
17
0
12 Feb 2020
Empirical Study of Off-Policy Policy Evaluation for Reinforcement
  Learning
Empirical Study of Off-Policy Policy Evaluation for Reinforcement Learning
Cameron Voloshin
Hoang Minh Le
Nan Jiang
Yisong Yue
OffRL
35
152
0
15 Nov 2019
Kernel Optimal Orthogonality Weighting: A Balancing Approach to
  Estimating Effects of Continuous Treatments
Kernel Optimal Orthogonality Weighting: A Balancing Approach to Estimating Effects of Continuous Treatments
Nathan Kallus
Michele Santacatterina
CML
25
20
0
26 Oct 2019
Policy Evaluation with Latent Confounders via Optimal Balance
Policy Evaluation with Latent Confounders via Optimal Balance
Andrew Bennett
Nathan Kallus
CML
22
18
0
06 Aug 2019
Characterization of Overlap in Observational Studies
Characterization of Overlap in Observational Studies
Michael Oberst
Fredrik D. Johansson
Dennis L. Wei
Tian Gao
G. Brat
David Sontag
Kush R. Varshney
CML
16
22
0
09 Jul 2019
More Efficient Policy Learning via Optimal Retargeting
More Efficient Policy Learning via Optimal Retargeting
Nathan Kallus
OffRL
13
39
0
20 Jun 2019
Balanced off-policy evaluation in general action spaces
Balanced off-policy evaluation in general action spaces
A. Sondhi
David Arbour
Drew Dimmery
OffRL
29
17
0
09 Jun 2019
Semi-Parametric Efficient Policy Learning with Continuous Actions
Semi-Parametric Efficient Policy Learning with Continuous Actions
Mert Demirer
Vasilis Syrgkanis
Greg Lewis
Victor Chernozhukov
OffRL
14
51
0
24 May 2019
Classifying Treatment Responders Under Causal Effect Monotonicity
Classifying Treatment Responders Under Causal Effect Monotonicity
Nathan Kallus
CML
30
16
0
14 Feb 2019
Cost-Effective Incentive Allocation via Structured Counterfactual
  Inference
Cost-Effective Incentive Allocation via Structured Counterfactual Inference
Romain Lopez
Chenchen Li
X. Yan
Junwu Xiong
Michael I. Jordan
Yuan Qi
Le Song
OffRL
13
15
0
07 Feb 2019
Contextual Bandits with Continuous Actions: Smoothing, Zooming, and
  Adapting
Contextual Bandits with Continuous Actions: Smoothing, Zooming, and Adapting
A. Krishnamurthy
John Langford
Aleksandrs Slivkins
Chicheng Zhang
OffRL
26
66
0
05 Feb 2019
Learning Triggers for Heterogeneous Treatment Effects
Learning Triggers for Heterogeneous Treatment Effects
Christopher Tran
Elena Zheleva
CML
6
23
0
31 Jan 2019
Orthogonal Statistical Learning
Orthogonal Statistical Learning
Dylan J. Foster
Vasilis Syrgkanis
21
167
0
25 Jan 2019
Balanced Linear Contextual Bandits
Balanced Linear Contextual Bandits
Maria Dimakopoulou
Zhengyuan Zhou
Susan Athey
Guido Imbens
18
64
0
15 Dec 2018
Interval Estimation of Individual-Level Causal Effects Under Unobserved
  Confounding
Interval Estimation of Individual-Level Causal Effects Under Unobserved Confounding
Nathan Kallus
Xiaojie Mao
Angela Zhou
CML
22
91
0
05 Oct 2018
Optimization over Continuous and Multi-dimensional Decisions with
  Observational Data
Optimization over Continuous and Multi-dimensional Decisions with Observational Data
Dimitris Bertsimas
Christopher McCord
34
27
0
11 Jul 2018
Counterfactual Mean Embeddings
Counterfactual Mean Embeddings
Krikamol Muandet
Motonobu Kanagawa
Sorawit Saengkyongam
S. Marukatat
CML
OffRL
29
39
0
22 May 2018
Confounding-Robust Policy Improvement
Confounding-Robust Policy Improvement
Nathan Kallus
Angela Zhou
CML
OffRL
40
152
0
22 May 2018
De-Biased Machine Learning of Global and Local Parameters Using
  Regularized Riesz Representers
De-Biased Machine Learning of Global and Local Parameters Using Regularized Riesz Representers
Victor Chernozhukov
Whitney Newey
Rahul Singh
29
91
0
23 Feb 2018
Estimation Considerations in Contextual Bandits
Estimation Considerations in Contextual Bandits
Maria Dimakopoulou
Zhengyuan Zhou
Susan Athey
Guido Imbens
34
69
0
19 Nov 2017
Balanced Policy Evaluation and Learning
Balanced Policy Evaluation and Learning
Nathan Kallus
CML
OffRL
25
141
0
21 May 2017
Mostly Exploration-Free Algorithms for Contextual Bandits
Mostly Exploration-Free Algorithms for Contextual Bandits
Hamsa Bastani
Mohsen Bayati
Khashayar Khosravi
19
155
0
28 Apr 2017
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