A Zeroth-Order Extra-Gradient Method for Black-Box Constrained Optimization | Paper Citation Record

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This paper cites Safe zeroth-order optimization using quadratic local approximations.

A Zeroth-Order Extra-Gradient Method for Black-Box Constrained Optimization Safe zeroth-order optimization using quadratic local approximations

Reference 1

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This paper cites Handbook of simulation optimization , volume 216.

A Zeroth-Order Extra-Gradient Method for Black-Box Constrained Optimization Handbook of simulation optimization , volume 216

Reference 2

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This paper cites Stoc hastic zeroth-order functional constrained optimization: Oracle complexity and applications.

A Zeroth-Order Extra-Gradient Method for Black-Box Constrained Optimization Stoc hastic zeroth-order functional constrained optimization: Oracle complexity and applications

Reference 3

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This paper cites Model-Free Optimal Voltage Control via Continuous-Time Zeroth-Order Methods.

A Zeroth-Order Extra-Gradient Method for Black-Box Constrained Optimization Model-Free Optimal Voltage Control via Continuous-Time Zeroth-Order Methods

Reference 4

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This paper cites Zeroth-Order Feedback-Based Optimization for Distributed Demand Response.

A Zeroth-Order Extra-Gradient Method for Black-Box Constrained Optimization Zeroth-Order Feedback-Based Optimization for Distributed Demand Response

Reference 5

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This paper cites direct search.

A Zeroth-Order Extra-Gradient Method for Black-Box Constrained Optimization direct search

Reference 6

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This paper cites A simplex method for functio n minimization.

A Zeroth-Order Extra-Gradient Method for Black-Box Constrained Optimization A simplex method for functio n minimization

Reference 7

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This paper cites Numerical solution of a minimum problem.

A Zeroth-Order Extra-Gradient Method for Black-Box Constrained Optimization Numerical solution of a minimum problem

Reference 8

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This paper cites On the convergence of pattern search a lgorithms.

A Zeroth-Order Extra-Gradient Method for Black-Box Constrained Optimization On the convergence of pattern search a lgorithms

Reference 9

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This paper cites Pattern s earch algorithms for bound constrained mini- mization.

A Zeroth-Order Extra-Gradient Method for Black-Box Constrained Optimization Pattern s earch algorithms for bound constrained mini- mization

Reference 10

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This paper cites Mesh adaptive direct search algorithms for constrained optimiza- tion.

A Zeroth-Order Extra-Gradient Method for Black-Box Constrained Optimization Mesh adaptive direct search algorithms for constrained optimiza- tion

Reference 11

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This paper cites A g lobally convergent augmented lagrangian algorithm for optimization with general constraints and si mple bounds.

A Zeroth-Order Extra-Gradient Method for Black-Box Constrained Optimization A g lobally convergent augmented lagrangian algorithm for optimization with general constraints and si mple bounds

Reference 12

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This paper cites Bayesian optimisati on for constrained problems.

A Zeroth-Order Extra-Gradient Method for Black-Box Constrained Optimization Bayesian optimisati on for constrained problems

Reference 13

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This paper cites Stochastic radial basis function algor ithms for large-scale optimization involving expensive black-box objective and constraint functions.

A Zeroth-Order Extra-Gradient Method for Black-Box Constrained Optimization Stochastic radial basis function algor ithms for large-scale optimization involving expensive black-box objective and constraint functions

Reference 14

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This paper cites A survey of surrogate approaches for exp ensive constrained black-box optimization.

A Zeroth-Order Extra-Gradient Method for Black-Box Constrained Optimization A survey of surrogate approaches for exp ensive constrained black-box optimization

Reference 15

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This paper cites Constrained stochastic black- box optimization using a progressive barrier and probabili stic estimates.

A Zeroth-Order Extra-Gradient Method for Black-Box Constrained Optimization Constrained stochastic black- box optimization using a progressive barrier and probabili stic estimates

Reference 16

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This paper cites Fi lter-based adaptive kriging method for black-box optimization problems with expensive object ive and constraints.

A Zeroth-Order Extra-Gradient Method for Black-Box Constrained Optimization Fi lter-based adaptive kriging method for black-box optimization problems with expensive object ive and constraints

Reference 17

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This paper cites Conorbit: constrained optimization by radial basis function interpolation in trust regions.

A Zeroth-Order Extra-Gradient Method for Black-Box Constrained Optimization Conorbit: constrained optimization by radial basis function interpolation in trust regions

Reference 18

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This paper cites Stochastic zeroth-order optimiza- tion in high dimensions.

A Zeroth-Order Extra-Gradient Method for Black-Box Constrained Optimization Stochastic zeroth-order optimiza- tion in high dimensions

Reference 19

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This paper cites A theoretical and em- pirical comparison of gradient approximations in derivative-free optimization.

A Zeroth-Order Extra-Gradient Method for Black-Box Constrained Optimization A theoretical and em- pirical comparison of gradient approximations in derivative-free optimization

Reference 20

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Observation 8eca339e-6d5c-43f5-805e-cf9405e80cc5 · outbound

This paper cites Derivat ive-free alternating projection algorithms for general nonconvex-concave minimax problems.

A Zeroth-Order Extra-Gradient Method for Black-Box Constrained Optimization Derivat ive-free alternating projection algorithms for general nonconvex-concave minimax problems

Reference 21

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This paper cites An i nexact preconditioned zeroth-order proximal method for composite optimization.

A Zeroth-Order Extra-Gradient Method for Black-Box Constrained Optimization An i nexact preconditioned zeroth-order proximal method for composite optimization

Reference 22

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This paper cites Boosting one-point derivative-free online optimization via residual feedback.

A Zeroth-Order Extra-Gradient Method for Black-Box Constrained Optimization Boosting one-point derivative-free online optimization via residual feedback

Reference 23

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Observation fa18edac-f974-443c-b9d1-5e48f8066808 · outbound

This paper cites Online convex optimization in the bandit setting: gradient descent without a gradient.

A Zeroth-Order Extra-Gradient Method for Black-Box Constrained Optimization Online convex optimization in the bandit setting: gradient descent without a gradient

Reference 24

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This paper cites Random gradient-free minimization of convex functions.

A Zeroth-Order Extra-Gradient Method for Black-Box Constrained Optimization Random gradient-free minimization of convex functions

Reference 25

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This paper cites Zeroth-order feedba ck optimization for cooperative multi-agent systems.

A Zeroth-Order Extra-Gradient Method for Black-Box Constrained Optimization Zeroth-order feedba ck optimization for cooperative multi-agent systems

Reference 26

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Observation 15842f0c-36da-4653-9f77-b8d5f4f4c63d · outbound

This paper cites Optimal rates for zero- order convex optimization: The power of two function evalua tions.

A Zeroth-Order Extra-Gradient Method for Black-Box Constrained Optimization Optimal rates for zero- order convex optimization: The power of two function evalua tions

Reference 27

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This paper cites A primer on zeroth-order optimization in signal proces sing and machine learning: Principals, recent advances, and applications.

A Zeroth-Order Extra-Gradient Method for Black-Box Constrained Optimization A primer on zeroth-order optimization in signal proces sing and machine learning: Principals, recent advances, and applications

Reference 28

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Observation a91e105b-d3b2-4753-ae65-c27c222e8d2e · outbound

This paper cites Mini- batch stochastic approximation methods for nonconvex stochastic composite optimization.

A Zeroth-Order Extra-Gradient Method for Black-Box Constrained Optimization Mini- batch stochastic approximation methods for nonconvex stochastic composite optimization

Reference 29

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This paper cites Distributed rand omized gradient-free mirror descent algorithm for constrained optimization.

A Zeroth-Order Extra-Gradient Method for Black-Box Constrained Optimization Distributed rand omized gradient-free mirror descent algorithm for constrained optimization

Reference 30

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Observation 451afbb0-b9a7-4a64-941a-c62df4ee7d21 · outbound

This paper cites A frank-wolfe framework for efﬁcient and effective adversarial attacks.

A Zeroth-Order Extra-Gradient Method for Black-Box Constrained Optimization A frank-wolfe framework for efﬁcient and effective adversarial attacks

Reference 31

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Observation d5c5f3b4-6853-467f-be3c-f8255853998c · outbound

This paper cites An Enhanced Zeroth-Order Stochastic Frank-Wolfe Framework for Constrained Finite-Sum Optimization.

A Zeroth-Order Extra-Gradient Method for Black-Box Constrained Optimization An Enhanced Zeroth-Order Stochastic Frank-Wolfe Framework for Constrained Finite-Sum Optimization

Reference 32

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This paper cites Gradient-free a ccelerated event-triggered scheme for constrained network optimization in smart grids.

A Zeroth-Order Extra-Gradient Method for Black-Box Constrained Optimization Gradient-free a ccelerated event-triggered scheme for constrained network optimization in smart grids

Reference 33

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This paper cites Min-max optimization without gradients : Convergence and applications to black- box evasion and poisoning attacks.

A Zeroth-Order Extra-Gradient Method for Black-Box Constrained Optimization Min-max optimization without gradients : Convergence and applications to black- box evasion and poisoning attacks

Reference 34

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This paper cites Zeroth- order methods for convex-concave min-max problems: Applic ations to decision-dependent risk min- imization.

A Zeroth-Order Extra-Gradient Method for Black-Box Constrained Optimization Zeroth- order methods for convex-concave min-max problems: Applic ations to decision-dependent risk min- imization

Reference 35

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Observation 3c7aca1a-9377-4fe6-8c6a-2ef29da04774 · outbound

This paper cites Prox-method with rate of convergen ce o (1/t) for variational inequalities with lipschitz continuous monotone operators and smooth convex -concave saddle point problems.

A Zeroth-Order Extra-Gradient Method for Black-Box Constrained Optimization Prox-method with rate of convergen ce o (1/t) for variational inequalities with lipschitz continuous monotone operators and smooth convex -concave saddle point problems

Reference 36

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Observation 1f4599d7-c71a-4c5f-89eb-0ea927dbb795 · outbound

This paper cites Subgradient methods for saddle-poin t problems.

A Zeroth-Order Extra-Gradient Method for Black-Box Constrained Optimization Subgradient methods for saddle-poin t problems

Reference 37

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This paper cites Derivative-free methods for policy optimization: Guarantees for linear quadratic systems.

A Zeroth-Order Extra-Gradient Method for Black-Box Constrained Optimization Derivative-free methods for policy optimization: Guarantees for linear quadratic systems

Reference 38

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This paper cites A uniﬁed analysis of extra-gradient and optimistic gradient methods for saddle point problems: Pro ximal point approach.

A Zeroth-Order Extra-Gradient Method for Black-Box Constrained Optimization A uniﬁed analysis of extra-gradient and optimistic gradient methods for saddle point problems: Pro ximal point approach

Reference 39

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This paper cites A zeroth-order block coordi- nate gradient descent method for cellular network optimiza tion.

A Zeroth-Order Extra-Gradient Method for Black-Box Constrained Optimization A zeroth-order block coordi- nate gradient descent method for cellular network optimiza tion

Reference 40

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Observation 6ef3c504-e2cd-4041-b4a5-af60fdb8ba75 · outbound

This paper cites Stochastic ﬁr st-order methods for convex and nonconvex functional constrained optimization.

A Zeroth-Order Extra-Gradient Method for Black-Box Constrained Optimization Stochastic ﬁr st-order methods for convex and nonconvex functional constrained optimization

Reference 41

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Observation f6bb2816-5514-4607-b4c1-582cfc147251 · outbound

This paper cites Robust stochastic ap- proximation approach to stochastic programming.

A Zeroth-Order Extra-Gradient Method for Black-Box Constrained Optimization Robust stochastic ap- proximation approach to stochastic programming

Reference 42

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Observation c6527ea0-0995-48df-a06d-bd48fedfb348 · outbound

This paper cites Taking expectation over vk gives: E [⟨ ηF (z+ k ), z+ k− z ⟩ |F k ] ≤ E [⟨ ηg+ k , z+ k− z ⟩ |F k ] + ηL ˜Drk.

A Zeroth-Order Extra-Gradient Method for Black-Box Constrained Optimization Taking expectation over vk gives: E [⟨ ηF (z+ k ), z+ k− z ⟩ |F k ] ≤ E [⟨ ηg+ k , z+ k− z ⟩ |F k ] + ηL ˜Drk

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:59:14.001703Z

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Observation cac1a9d3-b685-4f53-96a7-93c2b1f4c680 · outbound

This paper cites Then, E [ ‖gk− g+ k‖2|F k ] is bounded as follows: E [ ‖gk− g+ k‖2|F k ] ≤ ˆ∆k, (19) where ˆ∆k = 108d2G2 d+2 + 9d2L2r2 k + 12L2r2 k + 12G2.

A Zeroth-Order Extra-Gradient Method for Black-Box Constrained Optimization Then, E [ ‖gk− g+ k‖2|F k ] is bounded as follows: E [ ‖gk− g+ k‖2|F k ] ≤ ˆ∆k, (19) where ˆ∆k = 108d2G2 d+2 + 9d2L2r2 k + 12L2r2 k + 12G2

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:59:13.870958Z

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Observation 0aa96285-08c5-4334-b3f1-05927aabfe13 · outbound

This paper cites 24 C Proof of Theorem 4.3 Similarly, We start by deﬁning a ﬁltration F b k := σ (z0,I x 0 ,I y 0 ,J x 0 ,J y 0 , z1, ..., zk).

A Zeroth-Order Extra-Gradient Method for Black-Box Constrained Optimization 24 C Proof of Theorem 4.3 Similarly, We start by deﬁning a ﬁltration F b k := σ (z0,I x 0 ,I y 0 ,J x 0 ,J y 0 , z1, ..., zk)

Reference 45

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