Drift Optimization of Regulated Stochastic Models Using Sample Average Approximation | Paper Citation Record

Observation ef2e5aed-9b6d-4a51-ac7c-5e0437e9ae4b · outbound

This paper cites Lectures on Stochastic Programming: Modeling and Theory, Third Edition.

Drift Optimization of Regulated Stochastic Models Using Sample Average Approximation Lectures on Stochastic Programming: Modeling and Theory, Third Edition

Reference 1

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This paper cites Consistency of M onte C arlo Estimators for Risk-Neutral PDE -Constrained Optimization.

Drift Optimization of Regulated Stochastic Models Using Sample Average Approximation Consistency of M onte C arlo Estimators for Risk-Neutral PDE -Constrained Optimization

Reference 2

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This paper cites Sample average approximations of strongly convex stochastic programs in H ilbert spaces.

Drift Optimization of Regulated Stochastic Models Using Sample Average Approximation Sample average approximations of strongly convex stochastic programs in H ilbert spaces

Reference 3

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This paper cites Asymptotically optimal appointment schedules.

Drift Optimization of Regulated Stochastic Models Using Sample Average Approximation Asymptotically optimal appointment schedules

Reference 4

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Observation 96d418e4-91b1-4cd3-b1fb-22a97e2da482 · outbound

This paper cites A survey of the S chr\"odinger problem and some of its connections with optimal transport.

Drift Optimization of Regulated Stochastic Models Using Sample Average Approximation A survey of the S chr\"odinger problem and some of its connections with optimal transport

Reference 5

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Observation 6191c882-1d57-4178-9e8e-259411b7d139 · outbound

This paper cites Optimal Transport: Old and New, volume 338 of Grundlehren der mathematischen Wissenschaften.

Drift Optimization of Regulated Stochastic Models Using Sample Average Approximation Optimal Transport: Old and New, volume 338 of Grundlehren der mathematischen Wissenschaften

Reference 6

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Observation c1e85b7b-18d1-4345-96f6-5fa075ad7e4a · outbound

This paper cites Information projection on B anach spaces with applications to state independent KL -weighted optimal control.

Drift Optimization of Regulated Stochastic Models Using Sample Average Approximation Information projection on B anach spaces with applications to state independent KL -weighted optimal control

Reference 7

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Drift Optimization of Regulated Stochastic Models Using Sample Average Approximation Unresolved cited work

Reference 8

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Observation 2243932f-8e3b-4b63-a504-1e3b549e91d2 · outbound

This paper cites Monge’s problem with a quadratic cost by the zero-noise limit of h-path processes.

Drift Optimization of Regulated Stochastic Models Using Sample Average Approximation Monge’s problem with a quadratic cost by the zero-noise limit of h-path processes

Reference 9

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Drift Optimization of Regulated Stochastic Models Using Sample Average Approximation Unresolved cited work

Reference 10

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Drift Optimization of Regulated Stochastic Models Using Sample Average Approximation Unresolved cited work

Reference 11

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Observation d0c67cc7-f29e-48b9-9e3a-a6522bb9cf52 · outbound

This paper cites Stochastic-Process Limits: An Introduction to Stochastic-Process Limits and Their Application to Queues.

Drift Optimization of Regulated Stochastic Models Using Sample Average Approximation Stochastic-Process Limits: An Introduction to Stochastic-Process Limits and Their Application to Queues

Reference 12

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Drift Optimization of Regulated Stochastic Models Using Sample Average Approximation Unresolved cited work

Reference 13

Resolution: verified exact; doi, observed 2026-08-07T05:58:37.656085Z

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Observation 277729b7-dac1-45ae-992a-a5138430ddc1 · outbound

This paper cites Directional derivatives of oblique reflection maps.

Drift Optimization of Regulated Stochastic Models Using Sample Average Approximation Directional derivatives of oblique reflection maps

Reference 14

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Observation 18f9105a-5cc2-4ff2-b62b-10c2f370ae22 · outbound

This paper cites On directional derivatives of S korokhod maps in convex polyhedral domains.

Drift Optimization of Regulated Stochastic Models Using Sample Average Approximation On directional derivatives of S korokhod maps in convex polyhedral domains

Reference 15

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Observation 5f88335e-d551-4654-9ebc-069f4b10fc65 · outbound

This paper cites Pathwise differentiability of reflected diffusions in convex polyhedral domains.

Drift Optimization of Regulated Stochastic Models Using Sample Average Approximation Pathwise differentiability of reflected diffusions in convex polyhedral domains

Reference 16

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Drift Optimization of Regulated Stochastic Models Using Sample Average Approximation Unresolved cited work

Reference 17

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Observation ec6daba1-9106-4d53-91b0-cc8fddf01d3e · outbound

This paper cites A M onte C arlo method for estimating sensitivities of reflected diffusions in convex polyhedral domains.

Drift Optimization of Regulated Stochastic Models Using Sample Average Approximation A M onte C arlo method for estimating sensitivities of reflected diffusions in convex polyhedral domains

Reference 18

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Observation 0182919c-c53f-4c9a-833e-65569ff46f14 · outbound

This paper cites Gradient Estimation via Perturbation Analysis, volume 116.

Drift Optimization of Regulated Stochastic Models Using Sample Average Approximation Gradient Estimation via Perturbation Analysis, volume 116

Reference 19

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This paper cites R ademacher and G aussian complexities: Risk bounds and structural results.

Drift Optimization of Regulated Stochastic Models Using Sample Average Approximation R ademacher and G aussian complexities: Risk bounds and structural results

Reference 20

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Observation b8a9b519-6ee9-4e59-8df7-d7f0bc557042 · outbound

This paper cites Asmussen and P.W.

Drift Optimization of Regulated Stochastic Models Using Sample Average Approximation Asmussen and P.W

Reference 21

Resolution: verified exact; doi, observed 2026-08-07T05:58:37.383441Z

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Observation 55301d44-5244-4499-9629-9be7db9b45e4 · outbound

This paper cites A proposal on machine learning via dynamical systems.

Drift Optimization of Regulated Stochastic Models Using Sample Average Approximation A proposal on machine learning via dynamical systems

Reference 22

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Observation 3fb109ca-5241-4977-a0b4-107426459e63 · outbound

This paper cites A mean-field optimal control formulation of deep learning.

Drift Optimization of Regulated Stochastic Models Using Sample Average Approximation A mean-field optimal control formulation of deep learning

Reference 23

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Observation f40ed642-e85f-4085-96ed-c13ca0d2b792 · outbound

This paper cites Dynamical Systems and Optimal Control Approach to Deep Learning, pages 422--438.

Drift Optimization of Regulated Stochastic Models Using Sample Average Approximation Dynamical Systems and Optimal Control Approach to Deep Learning, pages 422--438

Reference 24

Resolution: verified exact; doi, observed 2026-08-07T05:58:37.179238Z

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Observation 05d9e3e7-6446-41c0-a0da-6e2046d5f048 · outbound

This paper cites Neural ordinary differential equations.

Drift Optimization of Regulated Stochastic Models Using Sample Average Approximation Neural ordinary differential equations

Reference 25

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Observation f462233c-7a63-498e-bdb8-ac981887e7eb · outbound

This paper cites Royset, Claire Walton, and Isaac Kaminer.

Drift Optimization of Regulated Stochastic Models Using Sample Average Approximation Royset, Claire Walton, and Isaac Kaminer

Reference 26

Resolution: verified exact; doi, observed 2026-08-07T05:58:36.970631Z

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Observation 5c3aa5fb-95fb-4076-b1b1-45abeb25e533 · outbound

This paper cites Royset, and Qi Gong.

Drift Optimization of Regulated Stochastic Models Using Sample Average Approximation Royset, and Qi Gong

Reference 27

Resolution: verified exact; doi, observed 2026-08-07T05:58:36.687452Z

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Drift Optimization of Regulated Stochastic Models Using Sample Average Approximation Unresolved cited work

Reference 28

Resolution: verified exact; doi, observed 2026-08-07T05:58:36.490632Z

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Observation 22257747-c42e-4553-90f1-8fb6fa033ad0 · outbound

This paper cites Notes on the control of the L iouville equation.

Drift Optimization of Regulated Stochastic Models Using Sample Average Approximation Notes on the control of the L iouville equation

Reference 29

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Observation 9eaa7001-c9f7-4a2d-9576-242572253ce0 · outbound

This paper cites A theoretical investigation of B rockett's ensemble optimal control problems.

Drift Optimization of Regulated Stochastic Models Using Sample Average Approximation A theoretical investigation of B rockett's ensemble optimal control problems

Reference 30

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Observation 802a75ca-7592-4666-a257-f8615e8b5af7 · outbound

This paper cites A F okker- P lanck control framework for stochastic systems.

Drift Optimization of Regulated Stochastic Models Using Sample Average Approximation A F okker- P lanck control framework for stochastic systems

Reference 31

Resolution: verified exact; doi, observed 2026-08-07T05:58:35.940842Z

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Observation 00169428-6472-4ffa-b2d1-04c0febea5b0 · outbound

This paper cites Optimal Control of the Fokker--Planck Equation with Space-Dependent Controls.

Drift Optimization of Regulated Stochastic Models Using Sample Average Approximation Optimal Control of the Fokker--Planck Equation with Space-Dependent Controls

Reference 32

Resolution: verified exact; doi, observed 2026-08-07T05:58:35.684286Z

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Observation 99ad422f-34df-4647-81e2-4e05a8c81b69 · outbound

This paper cites Markov Marginal Problems and Their Applications to Markov Optimal Control.

Drift Optimization of Regulated Stochastic Models Using Sample Average Approximation Markov Marginal Problems and Their Applications to Markov Optimal Control

Reference 33

Resolution: verified exact; doi, observed 2026-08-07T05:58:35.469323Z

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Observation f93dd07a-85a5-4478-8ff9-5f6bea980fc8 · outbound

This paper cites Stochastic Optimal Transportation Problem.

Drift Optimization of Regulated Stochastic Models Using Sample Average Approximation Stochastic Optimal Transportation Problem

Reference 34

Resolution: verified exact; doi, observed 2026-08-07T05:58:35.217107Z

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Observation 803734ad-9830-4ff5-825b-26c81a7e972c · outbound

This paper cites Michael Harrison.

Drift Optimization of Regulated Stochastic Models Using Sample Average Approximation Michael Harrison

Reference 35

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Reference 36

Resolution: verified exact; doi, observed 2026-08-07T05:58:34.933886Z

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Observation 1427455b-d27e-48b2-b7c9-d75a093b5f69 · outbound

This paper cites Drift control of high-dimensional reflected B rownian Motion: A Computational Method Based on Neural Networks.

Drift Optimization of Regulated Stochastic Models Using Sample Average Approximation Drift control of high-dimensional reflected B rownian Motion: A Computational Method Based on Neural Networks

Reference 37

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Observation 6becb5e5-840c-41d7-b4ea-c99933d9023f · outbound

This paper cites Singular control of (reflected) B rownian motion: a computational method suitable for queueing applications.

Drift Optimization of Regulated Stochastic Models Using Sample Average Approximation Singular control of (reflected) B rownian motion: a computational method suitable for queueing applications

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:58:43.303226Z

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Observation a1147e6f-1aa4-4a3c-bd0a-66d5f908da84 · outbound

This paper cites Optimization by vector space methods.

Drift Optimization of Regulated Stochastic Models Using Sample Average Approximation Optimization by vector space methods

Reference 39

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Observation 5e33d4bb-d318-4ca6-b561-7c633ca730f5 · outbound

This paper cites Convex Functions and Their Applications, volume 23.

Drift Optimization of Regulated Stochastic Models Using Sample Average Approximation Convex Functions and Their Applications, volume 23

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:58:42.663654Z

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Observation 8673739f-6474-4ca0-b08c-a7b70dba4ab8 · outbound

This paper cites Fundamentals of Queueing Networks: Performance, Asymptotics, and Optimization, volume 4.

Drift Optimization of Regulated Stochastic Models Using Sample Average Approximation Fundamentals of Queueing Networks: Performance, Asymptotics, and Optimization, volume 4

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:58:42.305275Z

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Observation b762c446-67ed-4328-a641-2ae169e8079b · outbound

This paper cites Internet supplement to stochastic-process limits: An introduction to stochastic-process limits and their application to queues.

Drift Optimization of Regulated Stochastic Models Using Sample Average Approximation Internet supplement to stochastic-process limits: An introduction to stochastic-process limits and their application to queues

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:58:41.940016Z

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Observation 21262e93-cfc2-4053-940c-70e31aaeccd1 · outbound

This paper cites On a theorem of D anskin with an application to a theorem of V on N eumann- S ion.

Drift Optimization of Regulated Stochastic Models Using Sample Average Approximation On a theorem of D anskin with an application to a theorem of V on N eumann- S ion

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:58:41.605812Z

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Observation 9132ea6c-f758-4d6a-8217-47e86eedcbbc · outbound

This paper cites Inverse problems: A B ayesian perspective.

Drift Optimization of Regulated Stochastic Models Using Sample Average Approximation Inverse problems: A B ayesian perspective

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:58:41.255307Z

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Observation 0a561e02-14b7-4df4-9d25-82443af4ff5a · outbound

This paper cites Kreyszig.

Drift Optimization of Regulated Stochastic Models Using Sample Average Approximation Kreyszig

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:58:40.906758Z

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Observation 628b3375-935a-4ef3-a2f9-bd3fca75072d · outbound

This paper cites Wong- Z akai approximations for stochastic differential equations.

Drift Optimization of Regulated Stochastic Models Using Sample Average Approximation Wong- Z akai approximations for stochastic differential equations

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-07T05:58:32.848653Z

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Observation 2fdc28f0-eb12-4bdf-a506-704d535adcd0 · outbound

This paper cites Grebenkov, Dmitry Beliaev, and Peter W.

Drift Optimization of Regulated Stochastic Models Using Sample Average Approximation Grebenkov, Dmitry Beliaev, and Peter W

Reference 47

Resolution: verified exact; doi, observed 2026-08-07T05:58:34.633234Z

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Observation 220454a7-9151-47cf-aeec-bbcc0917ccdb · outbound

This paper cites An optimal polynomial approximation of B rownian motion.

Drift Optimization of Regulated Stochastic Models Using Sample Average Approximation An optimal polynomial approximation of B rownian motion

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:58:40.655938Z

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Observation 71c4853a-7975-40c1-98a2-0789b49f2db1 · outbound

This paper cites Nesterov.

Drift Optimization of Regulated Stochastic Models Using Sample Average Approximation Nesterov

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:58:40.490473Z

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Observation 606346d1-f43e-47ca-80a7-c0220b599491 · outbound

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Drift Optimization of Regulated Stochastic Models Using Sample Average Approximation Unresolved cited work

Reference 50

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:58:40.259288Z

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Observation 86087ccf-bcbb-44c5-a383-6a8c97420cbe · outbound

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Drift Optimization of Regulated Stochastic Models Using Sample Average Approximation Unresolved cited work

Reference 51

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Drift Optimization of Regulated Stochastic Models Using Sample Average Approximation Unresolved cited work

Reference 52

Resolution: verified exact; doi, observed 2026-08-07T05:58:34.289374Z

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Observation 103094e2-180e-44fd-9490-b7f6539cfa43 · outbound

This paper cites Concentration Inequalities: A Nonasymptotic Theory of Independence.

Drift Optimization of Regulated Stochastic Models Using Sample Average Approximation Concentration Inequalities: A Nonasymptotic Theory of Independence

Reference 53

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Observation e04d2a12-4ddc-4fd1-8c53-ab2d615858c0 · outbound

This paper cites Probability in Banach Spaces.

Drift Optimization of Regulated Stochastic Models Using Sample Average Approximation Probability in Banach Spaces

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-07T05:58:33.871286Z

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Observation 50b47836-db05-4047-9147-423ea0a90266 · outbound

This paper cites Concentration in unbounded metric spaces and algorithmic stability.

Drift Optimization of Regulated Stochastic Models Using Sample Average Approximation Concentration in unbounded metric spaces and algorithmic stability

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:58:40.063130Z

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