Accelerating Evolutionary Strategy via Rao-Blackwellizing Realization of Uncertain Input | Paper Citation Record

Observation 0c6e728e-e529-4f69-a035-72ff673f8ccd · outbound

This paper cites Bidirectional relation between cma evolution strategies and natural evolution strategies.

Accelerating Evolutionary Strategy via Rao-Blackwellizing Realization of Uncertain Input Bidirectional relation between cma evolution strategies and natural evolution strategies

Reference 1

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This paper cites Springer, 2016.

Accelerating Evolutionary Strategy via Rao-Blackwellizing Realization of Uncertain Input Springer, 2016

Reference 2

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This paper cites Robust optimization for unconstrained simulation- based problems.Operations Research, 58(1):161–178, 2010.

Accelerating Evolutionary Strategy via Rao-Blackwellizing Realization of Uncertain Input Robust optimization for unconstrained simulation- based problems.Operations Research, 58(1):161–178, 2010

Reference 3

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This paper cites Actuator noise in recombinant evolution strategies on general quadratic fitness models.

Accelerating Evolutionary Strategy via Rao-Blackwellizing Realization of Uncertain Input Actuator noise in recombinant evolution strategies on general quadratic fitness models

Reference 4

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This paper cites Robust optimization – a comprehensive survey.Computer Methods in Applied Mechanics and Engineering, 196(33):3190–3218, 2007.

Accelerating Evolutionary Strategy via Rao-Blackwellizing Realization of Uncertain Input Robust optimization – a comprehensive survey.Computer Methods in Applied Mechanics and Engineering, 196(33):3190–3218, 2007

Reference 5

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This paper cites Conditional Expectation and Unbiased Sequential Estimation.The Annals of Mathematical Statistics, 18(1):105 – 110, 1947.

Accelerating Evolutionary Strategy via Rao-Blackwellizing Realization of Uncertain Input Conditional Expectation and Unbiased Sequential Estimation.The Annals of Mathematical Statistics, 18(1):105 – 110, 1947

Reference 6

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This paper cites Springer, 2005.

Accelerating Evolutionary Strategy via Rao-Blackwellizing Realization of Uncertain Input Springer, 2005

Reference 7

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Accelerating Evolutionary Strategy via Rao-Blackwellizing Realization of Uncertain Input Unresolved cited work

Reference 8

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This paper cites Stanley, and Jeff Clune.

Accelerating Evolutionary Strategy via Rao-Blackwellizing Realization of Uncertain Input Stanley, and Jeff Clune

Reference 9

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This paper cites Duchi, Michael I.

Accelerating Evolutionary Strategy via Rao-Blackwellizing Realization of Uncertain Input Duchi, Michael I

Reference 10

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This paper cites Flaxman, Adam Tauman Kalai, and H.

Accelerating Evolutionary Strategy via Rao-Blackwellizing Realization of Uncertain Input Flaxman, Adam Tauman Kalai, and H

Reference 11

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This paper cites Noisy-input entropy search for efficient robust bayesian optimization.

Accelerating Evolutionary Strategy via Rao-Blackwellizing Realization of Uncertain Input Noisy-input entropy search for efficient robust bayesian optimization

Reference 12

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This paper cites Exponential natural evolution strategies.

Accelerating Evolutionary Strategy via Rao-Blackwellizing Realization of Uncertain Input Exponential natural evolution strategies

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This paper cites Understanding the difficulty of training deep feedforward neural networks.

Accelerating Evolutionary Strategy via Rao-Blackwellizing Realization of Uncertain Input Understanding the difficulty of training deep feedforward neural networks

Reference 14

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This paper cites Variance reduction techniques for gradient estimates in reinforcement learning.

Accelerating Evolutionary Strategy via Rao-Blackwellizing Realization of Uncertain Input Variance reduction techniques for gradient estimates in reinforcement learning

Reference 15

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This paper cites Hansen, A.

Accelerating Evolutionary Strategy via Rao-Blackwellizing Realization of Uncertain Input Hansen, A

Reference 16

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This paper cites The CMA evolution strategy: A tutorial, 2016.

Accelerating Evolutionary Strategy via Rao-Blackwellizing Realization of Uncertain Input The CMA evolution strategy: A tutorial, 2016

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This paper cites Completely derandomized self-adaptation in evolution strategies.

Accelerating Evolutionary Strategy via Rao-Blackwellizing Realization of Uncertain Input Completely derandomized self-adaptation in evolution strategies

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This paper cites Comparing results of 31 algorithms from the black-box optimization benchmarking bbob-2009.

Accelerating Evolutionary Strategy via Rao-Blackwellizing Realization of Uncertain Input Comparing results of 31 algorithms from the black-box optimization benchmarking bbob-2009

Reference 19

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This paper cites A largest empty hypersphere metaheuristic for robust op- timisation with implementation uncertainty.Computers & Operations Research, 103:64–80, 2019.

Accelerating Evolutionary Strategy via Rao-Blackwellizing Realization of Uncertain Input A largest empty hypersphere metaheuristic for robust op- timisation with implementation uncertainty.Computers & Operations Research, 103:64–80, 2019

Reference 20

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This paper cites Particle swarm metaheuristics for robust optimisa- tion with implementation uncertainty.Computers & Operations Research, 122:104998, 2020.

Accelerating Evolutionary Strategy via Rao-Blackwellizing Realization of Uncertain Input Particle swarm metaheuristics for robust optimisa- tion with implementation uncertainty.Computers & Operations Research, 122:104998, 2020

Reference 21

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This paper cites ISBN 9781450300735.

Accelerating Evolutionary Strategy via Rao-Blackwellizing Realization of Uncertain Input ISBN 9781450300735

Reference 22

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This paper cites Jordan and R.A.

Accelerating Evolutionary Strategy via Rao-Blackwellizing Realization of Uncertain Input Jordan and R.A

Reference 23

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This paper cites Kakade, Shai Shalev-Shwartz, and Ambuj Tewari.

Accelerating Evolutionary Strategy via Rao-Blackwellizing Realization of Uncertain Input Kakade, Shai Shalev-Shwartz, and Ambuj Tewari

Reference 24

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This paper cites Auto-Encoding Variational Bayes.

Accelerating Evolutionary Strategy via Rao-Blackwellizing Realization of Uncertain Input Auto-Encoding Variational Bayes

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This paper cites URLhttps://www.sciencedirect.com/science/ article/pii/S0305054820301155.

Accelerating Evolutionary Strategy via Rao-Blackwellizing Realization of Uncertain Input URLhttps://www.sciencedirect.com/science/ article/pii/S0305054820301155

Reference 26

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Accelerating Evolutionary Strategy via Rao-Blackwellizing Realization of Uncertain Input Unresolved cited work

Reference 27

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This paper cites Springer, 1998.

Accelerating Evolutionary Strategy via Rao-Blackwellizing Realization of Uncertain Input Springer, 1998

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This paper cites Rao-blackwellized stochas- tic gradients for discrete distributions.

Accelerating Evolutionary Strategy via Rao-Blackwellizing Realization of Uncertain Input Rao-blackwellized stochas- tic gradients for discrete distributions

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This paper cites Simple random search of static linear policies is com- petitive for reinforcement learning.

Accelerating Evolutionary Strategy via Rao-Blackwellizing Realization of Uncertain Input Simple random search of static linear policies is com- petitive for reinforcement learning

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This paper cites Monte carlo gradient estimation in machine learning.Journal of Machine Learning Research, 21(132):1–62, 2020.

Accelerating Evolutionary Strategy via Rao-Blackwellizing Realization of Uncertain Input Monte carlo gradient estimation in machine learning.Journal of Machine Learning Research, 21(132):1–62, 2020

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This paper cites Lam, Thang D Bui, George Deligiannidis, and Yee Whye Teh.

Accelerating Evolutionary Strategy via Rao-Blackwellizing Realization of Uncertain Input Lam, Thang D Bui, George Deligiannidis, and Yee Whye Teh

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Accelerating Evolutionary Strategy via Rao-Blackwellizing Realization of Uncertain Input Unresolved cited work

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Accelerating Evolutionary Strategy via Rao-Blackwellizing Realization of Uncertain Input Kobayashi

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This paper cites Random gradient-free minimization of convex functions.Foundations of Computational Mathematics, 17(2):527–566, Apr 2017.

Accelerating Evolutionary Strategy via Rao-Blackwellizing Realization of Uncertain Input Random gradient-free minimization of convex functions.Foundations of Computational Mathematics, 17(2):527–566, Apr 2017

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Accelerating Evolutionary Strategy via Rao-Blackwellizing Realization of Uncertain Input Bayesian optimisation under uncertain inputs

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Accelerating Evolutionary Strategy via Rao-Blackwellizing Realization of Uncertain Input Information-geometric optimization algo- rithms: A unifying picture via invariance principles.Journal of Machine Learning Research, 18(18):1–65, 2017

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Accelerating Evolutionary Strategy via Rao-Blackwellizing Realization of Uncertain Input Kobayashi

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This paper cites Ancestral Reinforcement Learning: Unifying Zeroth-Order Optimization and Genetic Algorithms for Reinforcement Learning.

Accelerating Evolutionary Strategy via Rao-Blackwellizing Realization of Uncertain Input Ancestral Reinforcement Learning: Unifying Zeroth-Order Optimization and Genetic Algorithms for Reinforcement Learning

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Accelerating Evolutionary Strategy via Rao-Blackwellizing Realization of Uncertain Input Information and the accuracy attainable in the estimation of statistical parameters

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This paper cites Eigen.Evolutionsstrategie : Optimierung technischer Systeme nach Prinzipien der biologischen Evolution.

Accelerating Evolutionary Strategy via Rao-Blackwellizing Realization of Uncertain Input Eigen.Evolutionsstrategie : Optimierung technischer Systeme nach Prinzipien der biologischen Evolution

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Accelerating Evolutionary Strategy via Rao-Blackwellizing Realization of Uncertain Input Stochastic backpropagation and approximate in- ference in deep generative models

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Accelerating Evolutionary Strategy via Rao-Blackwellizing Realization of Uncertain Input Sahinidis

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Accelerating Evolutionary Strategy via Rao-Blackwellizing Realization of Uncertain Input Performative prediction

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Accelerating Evolutionary Strategy via Rao-Blackwellizing Realization of Uncertain Input Black Box Variational Inference

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Accelerating Evolutionary Strategy via Rao-Blackwellizing Realization of Uncertain Input Gradient estimation using stochastic com- putation graphs

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Accelerating Evolutionary Strategy via Rao-Blackwellizing Realization of Uncertain Input An optimal algorithm for bandit and zero-order convex optimization with two-point feedback

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Accelerating Evolutionary Strategy via Rao-Blackwellizing Realization of Uncertain Input MIT press Cambridge, 1998

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Accelerating Evolutionary Strategy via Rao-Blackwellizing Realization of Uncertain Input Taguchi and M

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Accelerating Evolutionary Strategy via Rao-Blackwellizing Realization of Uncertain Input Unresolved cited work

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Accelerating Evolutionary Strategy via Rao-Blackwellizing Realization of Uncertain Input Evolution Strategies as a Scalable Alternative to Reinforcement Learning

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Accelerating Evolutionary Strategy via Rao-Blackwellizing Realization of Uncertain Input Natural evolution strategies.Journal of Machine Learning Research, 15(27):949–980, 2014

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Accelerating Evolutionary Strategy via Rao-Blackwellizing Realization of Uncertain Input Variance reduction for policy gradient with action-dependent factorized baselines

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Accelerating Evolutionary Strategy via Rao-Blackwellizing Realization of Uncertain Input Unresolved cited work

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This paper cites Can a One-Point Feedback Zeroth-order Algorithm Achieve Linear Dimension Dependent Sample Complexity?.

Accelerating Evolutionary Strategy via Rao-Blackwellizing Realization of Uncertain Input Can a One-Point Feedback Zeroth-order Algorithm Achieve Linear Dimension Dependent Sample Complexity?

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Accelerating Evolutionary Strategy via Rao-Blackwellizing Realization of Uncertain Input Gymnasium: A Standard Interface for Reinforcement Learning Environments

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Accelerating Evolutionary Strategy via Rao-Blackwellizing Realization of Uncertain Input Unresolved cited work

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Accelerating Evolutionary Strategy via Rao-Blackwellizing Realization of Uncertain Input ∂ ∂ψ g FW # =E PF(θ|x)

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Observation 9029de18-bdf1-4e85-ae98-cd45b9809827 · outbound

This paper cites URLhttps://www.sciencedirect.com/science/ article/pii/S0305054818302727.

Accelerating Evolutionary Strategy via Rao-Blackwellizing Realization of Uncertain Input URLhttps://www.sciencedirect.com/science/ article/pii/S0305054818302727

Reference 548

Resolution: verified exact; doi, observed 2026-08-04T15:54:09.037167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e14ea159-fbfd-4097-9150-22c1d8c0bbe6 · outbound

This paper cites an unresolved cited work.

Accelerating Evolutionary Strategy via Rao-Blackwellizing Realization of Uncertain Input Unresolved cited work

Reference 1993

Resolution: unresolved; no resolver link, observed 2026-08-04T15:51:50.305557Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ff045a8-c3c8-4015-be09-af5ed536ad4f · outbound

This paper cites ISBN 978-3-642-15844-5.

Accelerating Evolutionary Strategy via Rao-Blackwellizing Realization of Uncertain Input ISBN 978-3-642-15844-5

Reference 2010

Resolution: unresolved; no resolver link, observed 2026-08-04T15:50:50.701998Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eea16352-f13e-45d8-9633-f82bf596f821 · outbound

This paper cites doi: 10.1109/TIT.2015.2409256.

Accelerating Evolutionary Strategy via Rao-Blackwellizing Realization of Uncertain Input doi: 10.1109/TIT.2015.2409256

Reference 2015

Resolution: unresolved; no resolver link, observed 2026-08-04T15:51:50.084594Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers