Paper Citation Record · LEDGER

Derivative-free stochastic bilevel optimization for inverse problems

As of 23 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 0 inbound Pith citation observations for arXiv:2411.18100.

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pith.paper-citation-record.v1
2411.18100 v1

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50 of 50 outbound references displayed

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Outbound references

Observation ad5d8c7d-6aa6-48ff-b028-d3e2b768120a · outbound

This paper cites Optimal algorit hms for online convex optimization with multi-point bandit feedback.

Derivative-free stochastic bilevel optimization for inverse problems Optimal algorit hms for online convex optimization with multi-point bandit feedback

Reference 1

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Observation f62d6759-0bef-47f3-9e58-fffe38c9cb5e · outbound

This paper cites Solving inverse problems using data- driven models.

Derivative-free stochastic bilevel optimization for inverse problems Solving inverse problems using data- driven models

Reference 2

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Observation 098e48f8-0026-486c-a6e9-2e36eef4204a · outbound

This paper cites Zerot h-order nonconvex stochastic optimization: Handling constraints, high dimensionality , and saddle points.

Derivative-free stochastic bilevel optimization for inverse problems Zerot h-order nonconvex stochastic optimization: Handling constraints, high dimensionality , and saddle points

Reference 3

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This paper cites Bauschke and Patrick L.

Derivative-free stochastic bilevel optimization for inverse problems Bauschke and Patrick L

Reference 4

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Observation 02794a8c-1619-4bd4-ae80-e1bad739a150 · outbound

This paper cites Modern regularizatio n methods for inverse problems.

Derivative-free stochastic bilevel optimization for inverse problems Modern regularizatio n methods for inverse problems

Reference 5

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This paper cites Berahas, Liyuan Cao, Krzysztof Choromanski, a nd Katya Scheinberg.

Derivative-free stochastic bilevel optimization for inverse problems Berahas, Liyuan Cao, Krzysztof Choromanski, a nd Katya Scheinberg

Reference 6

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Observation 915f9bb2-3b4e-49d5-ba9b-1ef2ead84705 · outbound

This paper cites Bottou, F.

Derivative-free stochastic bilevel optimization for inverse problems Bottou, F

Reference 7

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Observation 9f80ef88-56c3-49e2-a689-5a72f61c1549 · outbound

This paper cites Prediction, Learning, and Games.

Derivative-free stochastic bilevel optimization for inverse problems Prediction, Learning, and Games

Reference 8

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Observation 8932e0ab-673e-4f2e-8f2d-4b61979ded37 · outbound

This paper cites Bayesian Exp erimental Design: A Review.

Derivative-free stochastic bilevel optimization for inverse problems Bayesian Exp erimental Design: A Review

Reference 9

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Observation b14df887-a11c-49a7-9b97-422ea0b09beb · outbound

This paper cites Optimization and nonsmooth analysis.

Derivative-free stochastic bilevel optimization for inverse problems Optimization and nonsmooth analysis

Reference 10

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Observation 879c26b2-da75-41c6-a54b-73e70f5acd86 · outbound

This paper cites Introduction to derivative-free optimization.

Derivative-free stochastic bilevel optimization for inverse problems Introduction to derivative-free optimization

Reference 11

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Observation 6aec7675-1e81-4704-8822-1da5371a022e · outbound

This paper cites A regularized variance-reduced modified extragradient method for stochastic hierarchical games.

Derivative-free stochastic bilevel optimization for inverse problems A regularized variance-reduced modified extragradient method for stochastic hierarchical games

Reference 12

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Observation 006ea31b-82b5-436e-b52a-bbd371532716 · outbound

This paper cites Shanbhag, and Farzad Youseﬁan.

Derivative-free stochastic bilevel optimization for inverse problems Shanbhag, and Farzad Youseﬁan

Reference 13

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Observation b1197de4-f23d-4b25-8a17-be858af3cbaa · outbound

This paper cites Stochastic mode l-based minimization of weakly convex functions.

Derivative-free stochastic bilevel optimization for inverse problems Stochastic mode l-based minimization of weakly convex functions

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:36:39.901596Z

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Observation 5c3853ea-a5bf-46c3-b746-b79cad4192b4 · outbound

This paper cites Proximally guided stochastic subgradient method for nonsmooth, nonconvex problems.

Derivative-free stochastic bilevel optimization for inverse problems Proximally guided stochastic subgradient method for nonsmooth, nonconvex problems

Reference 15

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Observation 8ba0a84c-5d36-457d-86f8-88837bc58ba1 · outbound

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

Derivative-free stochastic bilevel optimization for inverse problems Optimal rates for zero-order convex optimization: The power of two function evaluations

Reference 16

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Observation 441b2574-4107-41cb-87b1-a48b198d0812 · outbound

This paper cites Multiagent online learning in time-varying games.

Derivative-free stochastic bilevel optimization for inverse problems Multiagent online learning in time-varying games

Reference 17

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Observation c90d4341-ae49-425f-a6f1-931d800c2815 · outbound

This paper cites Ehrhardt and Lindon Roberts.

Derivative-free stochastic bilevel optimization for inverse problems Ehrhardt and Lindon Roberts

Reference 18

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Observation 16f4df27-9929-455c-ac1e-22cdd6a3195d · outbound

This paper cites Analyzing inex act hypergradients for bilevel learning.

Derivative-free stochastic bilevel optimization for inverse problems Analyzing inex act hypergradients for bilevel learning

Reference 19

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Derivative-free stochastic bilevel optimization for inverse problems Unresolved cited work

Reference 20

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This paper cites Bilevel programming for hyperparameter optimization and meta-learning.

Derivative-free stochastic bilevel optimization for inverse problems Bilevel programming for hyperparameter optimization and meta-learning

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:36:39.817061Z

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Observation e65a2c90-8369-4d29-af26-8e46b50b56ca · outbound

This paper cites Bayesian Optimization.

Derivative-free stochastic bilevel optimization for inverse problems Bayesian Optimization

Reference 22

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Observation 5529d927-caab-4959-960e-f32e166ec9f1 · outbound

This paper cites Stochastic ﬁrst- and ze roth-order methods for nonconvex stochastic program- ming.

Derivative-free stochastic bilevel optimization for inverse problems Stochastic ﬁrst- and ze roth-order methods for nonconvex stochastic program- ming

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:36:39.796677Z

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Observation 49b1b71e-3272-472a-b7b6-c26f8d10b4a5 · outbound

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

Derivative-free stochastic bilevel optimization for inverse problems Mini- batch stochastic approximation methods for nonconvex stochastic composite optimization

Reference 24

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Derivative-free stochastic bilevel optimization for inverse problems Unresolved cited work

Reference 25

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Observation 384b3606-71a4-4283-8367-4b182f7188e3 · outbound

This paper cites Optimization of lipschitz continuo us functions.

Derivative-free stochastic bilevel optimization for inverse problems Optimization of lipschitz continuo us functions

Reference 26

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Observation 8650e56e-0401-4939-b9ae-9306d72a6922 · outbound

This paper cites On the iteration complexity of hyper- gradient computation.

Derivative-free stochastic bilevel optimization for inverse problems On the iteration complexity of hyper- gradient computation

Reference 27

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Observation 3269911c-b9d4-4d61-9e9e-ec525eb31efd · outbound

This paper cites Learning regularization functionals—a supervised training approach.

Derivative-free stochastic bilevel optimization for inverse problems Learning regularization functionals—a supervised training approach

Reference 28

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Derivative-free stochastic bilevel optimization for inverse problems Unresolved cited work

Reference 29

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Observation 500d8da3-9611-4c3d-8025-cab1f6cf6a8d · outbound

This paper cites A bilevel approach for parameter learning in inverse problems.

Derivative-free stochastic bilevel optimization for inverse problems A bilevel approach for parameter learning in inverse problems

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:36:39.718287Z

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Observation 32cf7ba3-32b0-4f3d-be4f-c87239738fb8 · outbound

This paper cites A two-timescale stochastic algorithm framework for bilevel optimization: Complexity analysis and applicatio n to actor-critic.

Derivative-free stochastic bilevel optimization for inverse problems A two-timescale stochastic algorithm framework for bilevel optimization: Complexity analysis and applicatio n to actor-critic

Reference 31

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Observation bc4d08ea-76f9-4415-93db-e5ce7774a0ac · outbound

This paper cites Zeroth-order optimization with orthogonal random directions.

Derivative-free stochastic bilevel optimization for inverse problems Zeroth-order optimization with orthogonal random directions

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:36:39.695414Z

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Observation fdda7fa6-5273-4ea6-b7fe-3934b433eb7e · outbound

This paper cites A bilevel optimization ap proach for parameter learning in variational models.

Derivative-free stochastic bilevel optimization for inverse problems A bilevel optimization ap proach for parameter learning in variational models

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:36:39.684209Z

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Observation ddef4f97-4a81-4c59-97c6-d31bbf65b36e · outbound

This paper cites A fully ﬁrst-order method for stochastic bilevel optimization.

Derivative-free stochastic bilevel optimization for inverse problems A fully ﬁrst-order method for stochastic bilevel optimization

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:36:39.671815Z

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Observation 75468af3-f417-4dc3-b52d-145f412e35cd · outbound

This paper cites Subdifferentially polynomially bounded functions and Gaussian smoothing-based zeroth-order optimization.

Derivative-free stochastic bilevel optimization for inverse problems Subdifferentially polynomially bounded functions and Gaussian smoothing-based zeroth-order optimization

Reference 35

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Derivative-free stochastic bilevel optimization for inverse problems Unresolved cited work

Reference 36

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Observation 6b4f1fd3-e649-4326-b783-6ce866a60450 · outbound

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Derivative-free stochastic bilevel optimization for inverse problems Unresolved cited work

Reference 37

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Observation c731dd13-d18f-46f3-b203-b50860e0f024 · outbound

This paper cites First-order penalty method s for bilevel optimization.

Derivative-free stochastic bilevel optimization for inverse problems First-order penalty method s for bilevel optimization

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:36:39.636070Z

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Observation fc180ac1-96ed-4708-956d-dc2f35b8dee4 · outbound

This paper cites Lectures on Convex Optimization , volume 137 of Springer Optimization and Its Applications.

Derivative-free stochastic bilevel optimization for inverse problems Lectures on Convex Optimization , volume 137 of Springer Optimization and Its Applications

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:36:39.624524Z

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Observation c1689dc3-f0e5-43e6-99a8-a006bf390f0d · outbound

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

Derivative-free stochastic bilevel optimization for inverse problems Random gradient -free minimization of convex functions

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:36:39.610092Z

Source-reported events for the cited work

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Observation 9ca69d3c-070d-4da8-ac6c-cdde6639493d · outbound

This paper cites T echniques for gradient-based bilevel optimization with non-smooth lower level problems.

Derivative-free stochastic bilevel optimization for inverse problems T echniques for gradient-based bilevel optimization with non-smooth lower level problems

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:36:39.596292Z

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Observation 6c97f2c6-110f-4c01-a0ae-a8afe994ea66 · outbound

This paper cites A zero th-order proximal stochastic gradient method for weakly convex stochastic optimization.

Derivative-free stochastic bilevel optimization for inverse problems A zero th-order proximal stochastic gradient method for weakly convex stochastic optimization

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:36:39.584132Z

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Observation 74eb647d-5438-470d-b303-52ac8c24c39b · outbound

This paper cites Ivanova, and Freddi e Bickford Smith.

Derivative-free stochastic bilevel optimization for inverse problems Ivanova, and Freddi e Bickford Smith

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:36:39.572032Z

Source-reported events for the cited work

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Observation 211b135b-fdc9-46dc-8e8b-6063db6a7387 · outbound

This paper cites Meta-learning with implicit gradients.

Derivative-free stochastic bilevel optimization for inverse problems Meta-learning with implicit gradients

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:36:39.560268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation dd0a41b5-d63a-4136-ac20-50afe7e5f02c · outbound

This paper cites Opt imal experimental design for inverse problems with state constraints.

Derivative-free stochastic bilevel optimization for inverse problems Opt imal experimental design for inverse problems with state constraints

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:36:39.548060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3e4478ec-9402-4880-ad94-fc25f598fd6b · outbound

This paper cites Shapiro, D.

Derivative-free stochastic bilevel optimization for inverse problems Shapiro, D

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:36:39.535184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ad445fd5-e11d-4ebe-b4da-b20c41999ebd · outbound

This paper cites A gradi ent-based bilevel optimization approach for tuning regularization hyperparameters.

Derivative-free stochastic bilevel optimization for inverse problems A gradi ent-based bilevel optimization approach for tuning regularization hyperparameters

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:36:39.522582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e8d2fd5b-4dbd-408b-be6a-453c28ea095e · outbound

This paper cites Introduction to stochastic search and optimization: estim ation, simulation, and control.

Derivative-free stochastic bilevel optimization for inverse problems Introduction to stochastic search and optimization: estim ation, simulation, and control

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:36:39.509838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b4d98ae8-214a-4eb6-81fe-2847b4192446 · outbound

This paper cites Se quential experimental design for x-ray ct using deep reinforcement learning.

Derivative-free stochastic bilevel optimization for inverse problems Se quential experimental design for x-ray ct using deep reinforcement learning

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:36:39.495891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f1bd12ca-72b0-47af-8506-62382928bd70 · outbound

This paper cites Complexity of ﬁnding stationary points of nonconvex nonsmooth functions.

Derivative-free stochastic bilevel optimization for inverse problems Complexity of ﬁnding stationary points of nonconvex nonsmooth functions

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:36:39.483696Z

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