Gradient-free stochastic optimization of derivatives under strong convexity | Paper Citation Record

Observation b54adc1a-897f-41ed-af1b-59aaff58a36e · outbound

This paper cites About adaptive coding on countable alphabets:.

Gradient-free stochastic optimization of derivatives under strong convexity About adaptive coding on countable alphabets:

Reference 1

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This paper cites About adaptive coding on countable alphabets , volume =.

Gradient-free stochastic optimization of derivatives under strong convexity About adaptive coding on countable alphabets , volume =

Reference 2

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This paper cites Sparse adaptive.

Gradient-free stochastic optimization of derivatives under strong convexity Sparse adaptive

Reference 3

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Gradient-free stochastic optimization of derivatives under strong convexity A hierarchical

Reference 4

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This paper cites and Dahleh, Munther A.

Gradient-free stochastic optimization of derivatives under strong convexity and Dahleh, Munther A

Reference 5

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Observation 460a5064-8a0a-498f-bd6f-dfec3a4a32d3 · outbound

This paper cites On the concentration of the missing mass , volume =.

Gradient-free stochastic optimization of derivatives under strong convexity On the concentration of the missing mass , volume =

Reference 6

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Observation 1c9478fb-2452-4ddf-90be-168dcc4cce81 · outbound

This paper cites Revisiting Concentration of Missing Mass.

Gradient-free stochastic optimization of derivatives under strong convexity Revisiting Concentration of Missing Mass

Reference 7

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This paper cites Convergence guarantees for the.

Gradient-free stochastic optimization of derivatives under strong convexity Convergence guarantees for the

Reference 8

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Observation 4fb8aead-eb99-4ddd-a46f-f06f8f4b5505 · outbound

This paper cites Concentration bounds for unigram language models , volume =.

Gradient-free stochastic optimization of derivatives under strong convexity Concentration bounds for unigram language models , volume =

Reference 9

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Observation 79367a66-f7ca-4477-a79e-779686b27e4c · outbound

This paper cites , booktitle =.

Gradient-free stochastic optimization of derivatives under strong convexity , booktitle =

Reference 10

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Observation d4f436f9-c7e6-4872-92e3-88551ada6560 · outbound

This paper cites Concentration inequalities for the missing mass and for histogram rule error , volume =.

Gradient-free stochastic optimization of derivatives under strong convexity Concentration inequalities for the missing mass and for histogram rule error , volume =

Reference 11

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This paper cites and Goodman, Joshua , date-added =.

Gradient-free stochastic optimization of derivatives under strong convexity and Goodman, Joshua , date-added =

Reference 12

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Observation 047af163-ac15-42d6-8381-f012bb88b015 · outbound

This paper cites Local risk bounds for statistical aggregation , year =.

Gradient-free stochastic optimization of derivatives under strong convexity Local risk bounds for statistical aggregation , year =

Reference 13

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Observation f1c1c01d-38c5-48f1-b019-d8bc3849fc8b · outbound

This paper cites Optimal exponential bounds for aggregation of estimators for the.

Gradient-free stochastic optimization of derivatives under strong convexity Optimal exponential bounds for aggregation of estimators for the

Reference 14

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This paper cites Improved backing-off for.

Gradient-free stochastic optimization of derivatives under strong convexity Improved backing-off for

Reference 15

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Observation 789a847d-9d6f-4074-bf89-f754c5b7e67b · outbound

This paper cites On structuring probabilistic dependences in stochastic language modelling , volume =.

Gradient-free stochastic optimization of derivatives under strong convexity On structuring probabilistic dependences in stochastic language modelling , volume =

Reference 16

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Observation d5e42b96-3de0-4dec-bced-241061650637 · outbound

This paper cites and Orlitsky, Alon and Pichapati, Venkatadheeraj , booktitle =.

Gradient-free stochastic optimization of derivatives under strong convexity and Orlitsky, Alon and Pichapati, Venkatadheeraj , booktitle =

Reference 17

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Observation b003c03d-6263-454e-b62b-a0fd198c87cb · outbound

This paper cites Doubly-competitive distribution estimation , year =.

Gradient-free stochastic optimization of derivatives under strong convexity Doubly-competitive distribution estimation , year =

Reference 18

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Observation 729e51f1-4d16-4dfd-958a-d031afe1da80 · outbound

This paper cites Optimal probability estimation with applications to prediction and classification , year =.

Gradient-free stochastic optimization of derivatives under strong convexity Optimal probability estimation with applications to prediction and classification , year =

Reference 19

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Observation add8d9ae-1d00-4654-a8a7-8b00ad5e38bd · outbound

This paper cites Competitive distribution estimation:.

Gradient-free stochastic optimization of derivatives under strong convexity Competitive distribution estimation:

Reference 20

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Observation 0a71d9c6-dcc1-4b81-94b0-e06ec7fb5675 · outbound

This paper cites Richard and Richardson, Thomas S.

Gradient-free stochastic optimization of derivatives under strong convexity Richard and Richardson, Thomas S

Reference 21

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Observation e0f0764c-a332-486c-b9e8-495a9d59d23d · outbound

This paper cites Concentration bounds for discrete distribution estimation in.

Gradient-free stochastic optimization of derivatives under strong convexity Concentration bounds for discrete distribution estimation in

Reference 22

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Observation cc666534-261c-4e93-be92-bd7f1668a5bb · outbound

This paper cites Optimal prediction of.

Gradient-free stochastic optimization of derivatives under strong convexity Optimal prediction of

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:26:21.068085Z

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Observation e342aca2-9e9e-430e-916a-ac1f18c752fa · outbound

This paper cites Optimal prediction of.

Gradient-free stochastic optimization of derivatives under strong convexity Optimal prediction of

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:26:21.075493Z

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Observation 4bd055b3-ce29-45fb-b9ab-3ff84c62971f · outbound

This paper cites an unresolved cited work.

Gradient-free stochastic optimization of derivatives under strong convexity Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-07-09T16:26:20.963243Z

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Observation 8b275c70-c502-445a-8664-e9f1611c0b9b · outbound

This paper cites Bernstein polynomials and learning theory , volume =.

Gradient-free stochastic optimization of derivatives under strong convexity Bernstein polynomials and learning theory , volume =

Reference 26

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This paper cites The performance of universal encoding , volume =.

Gradient-free stochastic optimization of derivatives under strong convexity The performance of universal encoding , volume =

Reference 27

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Observation 3c1b33ac-3c0c-4d93-85e6-61b00d70f9f3 · outbound

This paper cites Sharp concentration inequalities for the centred relative entropy , volume =.

Gradient-free stochastic optimization of derivatives under strong convexity Sharp concentration inequalities for the centred relative entropy , volume =

Reference 28

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Observation 55889df2-8ce3-49ee-92f0-f126a7cf38cc · outbound

This paper cites Concentration inequalities for the empirical distribution of discrete distributions: beyond the method of types , volume =.

Gradient-free stochastic optimization of derivatives under strong convexity Concentration inequalities for the empirical distribution of discrete distributions: beyond the method of types , volume =

Reference 29

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Observation e613fa71-0811-478a-b0b5-2b7c6e5cc026 · outbound

This paper cites Optimal estimation of high-order missing masses, and the rare-type match problem.

Gradient-free stochastic optimization of derivatives under strong convexity Optimal estimation of high-order missing masses, and the rare-type match problem

Reference 30

Resolution: verified exact; local_arxiv, observed 2026-07-09T16:26:20.737376Z

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Observation d9a5a12a-2619-456b-af95-3ba64671b338 · outbound

This paper cites A short note on learning discrete distributions.

Gradient-free stochastic optimization of derivatives under strong convexity A short note on learning discrete distributions

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-07-09T16:26:20.740102Z

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Observation fc83ef0b-e59e-461b-9129-67794ea093f1 · outbound

This paper cites Probability and computing:.

Gradient-free stochastic optimization of derivatives under strong convexity Probability and computing:

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:26:21.118596Z

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Observation a46090f5-5e8a-4e81-9d25-e94fd2b21a82 · outbound

This paper cites Negative association of random variables with applications , volume =.

Gradient-free stochastic optimization of derivatives under strong convexity Negative association of random variables with applications , volume =

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:26:20.968836Z

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Observation b1b9513a-f184-4f0b-bde2-81fad1e87ed8 · outbound

This paper cites Generalized multi-view model:.

Gradient-free stochastic optimization of derivatives under strong convexity Generalized multi-view model:

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:26:21.070011Z

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Observation c08ec333-5196-4cfb-838e-26bda92cc168 · outbound

This paper cites About the non-asymptotic behaviour of.

Gradient-free stochastic optimization of derivatives under strong convexity About the non-asymptotic behaviour of

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:26:21.041423Z

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Observation 96976e79-cbfe-4a58-b6ea-f4d3ef5e0565 · outbound

This paper cites From robust tests to.

Gradient-free stochastic optimization of derivatives under strong convexity From robust tests to

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:26:21.063809Z

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Observation ffb747dd-a635-4d4e-9c33-c4d3e353393b · outbound

This paper cites Active regression via linear-sample sparsification , volume =.

Gradient-free stochastic optimization of derivatives under strong convexity Active regression via linear-sample sparsification , volume =

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:26:21.071888Z

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Observation bc68b063-a6fd-45a5-abe0-4e8a791608a5 · outbound

This paper cites Dimension-free bounds for sums of independent matrices and simple tensors via the variational principle , volume =.

Gradient-free stochastic optimization of derivatives under strong convexity Dimension-free bounds for sums of independent matrices and simple tensors via the variational principle , volume =

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:26:21.077107Z

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Observation c9ac05dc-aec2-41e5-870a-8da4b07740a5 · outbound

This paper cites On a conjecture of.

Gradient-free stochastic optimization of derivatives under strong convexity On a conjecture of

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:26:21.073681Z

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Observation 0de4b78c-1314-4595-b8dc-a7d1e39711de · outbound

This paper cites Finite-sample performance of the maximum likelihood estimator in logistic regression , year =.

Gradient-free stochastic optimization of derivatives under strong convexity Finite-sample performance of the maximum likelihood estimator in logistic regression , year =

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:26:21.006540Z

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Observation 46c2aeae-0acd-45b1-8c9e-322c3d7eb7ad · outbound

This paper cites Probability in high dimension , year =.

Gradient-free stochastic optimization of derivatives under strong convexity Probability in high dimension , year =

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:26:21.037511Z

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Observation 911a602f-62b8-4172-8676-9665334fde63 · outbound

This paper cites , journal =.

Gradient-free stochastic optimization of derivatives under strong convexity , journal =

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:26:21.043506Z

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Observation 6a56a21e-6050-4faf-aa85-8c47c8e272a9 · outbound

This paper cites Concentration and.

Gradient-free stochastic optimization of derivatives under strong convexity Concentration and

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:26:21.094312Z

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Observation c39b394d-509c-4bc8-a1a0-a68b243c3816 · outbound

This paper cites An Introduction to Probability Theory and Its Applications , volume =.

Gradient-free stochastic optimization of derivatives under strong convexity An Introduction to Probability Theory and Its Applications , volume =

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:26:21.004614Z

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Observation fdca80cd-2b48-47f2-a22c-4282a751c9e0 · outbound

This paper cites , booktitle =.

Gradient-free stochastic optimization of derivatives under strong convexity , booktitle =

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:26:21.079149Z

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Observation 3faaa26e-070d-417f-bb0b-429416e79219 · outbound

This paper cites An introduction to the.

Gradient-free stochastic optimization of derivatives under strong convexity An introduction to the

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:26:21.066063Z

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Observation afec9db6-b579-499f-9f3f-1f64ace4c4f9 · outbound

This paper cites Conjugate priors for exponential families , volume =.

Gradient-free stochastic optimization of derivatives under strong convexity Conjugate priors for exponential families , volume =

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:26:21.135235Z

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Observation a70f382e-6d19-4ac7-ba4d-63c8cc174c51 · outbound

This paper cites Robust estimation of a regression function in exponential families , volume =.

Gradient-free stochastic optimization of derivatives under strong convexity Robust estimation of a regression function in exponential families , volume =

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:26:21.137670Z

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Observation 9b579a36-d49d-49d5-b1e5-220de7163b7d · outbound

This paper cites , booktitle =.

Gradient-free stochastic optimization of derivatives under strong convexity , booktitle =

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:26:21.142335Z

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Observation 3f17c436-d94f-4339-a6a4-fcff55a2313d · outbound

This paper cites , journal =.

Gradient-free stochastic optimization of derivatives under strong convexity , journal =

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:26:21.000968Z

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Observation d02d5569-c913-4b99-85b2-e6c644b88c2c · outbound

This paper cites Sharp asymptotics and optimal performance for inference in binary models , year =.

Gradient-free stochastic optimization of derivatives under strong convexity Sharp asymptotics and optimal performance for inference in binary models , year =

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:26:21.030567Z

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Observation 062ca1d7-a678-4e01-bc98-84583642885c · outbound

This paper cites Estimation bounds and sharp oracle inequalities of regularized procedures with.

Gradient-free stochastic optimization of derivatives under strong convexity Estimation bounds and sharp oracle inequalities of regularized procedures with

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:26:21.062020Z

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Observation 8b100fea-1971-4f28-ba3b-bcb758ee31fc · outbound

This paper cites and Liu, Richard C.

Gradient-free stochastic optimization of derivatives under strong convexity and Liu, Richard C

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:26:20.953803Z

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Observation 36d62a5a-c671-4d70-964f-d5f9b839d559 · outbound

This paper cites Mean field asymptotics in high-dimensional statistics: From exact results to efficient algorithms , year =.

Gradient-free stochastic optimization of derivatives under strong convexity Mean field asymptotics in high-dimensional statistics: From exact results to efficient algorithms , year =

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:26:21.104289Z

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Observation 5dbd4656-b9a8-497f-85ef-80bc19e82c8b · outbound

This paper cites High-Probability Risk Bounds via Sequential Predictors.

Gradient-free stochastic optimization of derivatives under strong convexity High-Probability Risk Bounds via Sequential Predictors

Reference 55

Resolution: verified exact; local_arxiv, observed 2026-07-09T16:26:20.731890Z

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Observation 53cf6ac0-5e4a-4015-974f-2aad16170e9d · outbound

This paper cites Localization, convexity, and star aggregation , year =.

Gradient-free stochastic optimization of derivatives under strong convexity Localization, convexity, and star aggregation , year =

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:26:21.102351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 82bdf4ad-393e-4e9b-a56e-e5eeaf29e57d · outbound

This paper cites Tight lower bounds on the.

Gradient-free stochastic optimization of derivatives under strong convexity Tight lower bounds on the

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:26:21.068287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 264e2695-1cba-407c-ad4f-91bff576afba · outbound

This paper cites Variations on the.

Gradient-free stochastic optimization of derivatives under strong convexity Variations on the

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:26:21.027893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3c8f3bd7-967f-421e-993e-4fc8274424cf · outbound

This paper cites Logarithmic bounds for isoperimetry and slices of convex sets , year =.

Gradient-free stochastic optimization of derivatives under strong convexity Logarithmic bounds for isoperimetry and slices of convex sets , year =

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:26:21.047046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e4b35fc6-0c33-41fb-aee6-661477fe5024 · outbound

This paper cites The central limit theorem around 1935 , volume =.

Gradient-free stochastic optimization of derivatives under strong convexity The central limit theorem around 1935 , volume =

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:26:21.018107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c9252914-8307-4823-b801-af50b3178951 · outbound

This paper cites , booktitle =.

Gradient-free stochastic optimization of derivatives under strong convexity , booktitle =

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:26:21.090542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 792238aa-af6e-4632-9398-a3d27329e0cd · outbound

This paper cites an unresolved cited work.

Gradient-free stochastic optimization of derivatives under strong convexity Unresolved cited work

Reference 62

Resolution: unresolved; raw_fallback, observed 2026-07-09T16:26:21.008256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6d1df60c-76d9-42c8-a62e-e5a1f7b73d8e · outbound

This paper cites , journal =.

Gradient-free stochastic optimization of derivatives under strong convexity , journal =

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:26:21.045190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ffd57b89-ed30-4b21-91fc-d12535ba210b · outbound

This paper cites and Chervonenkis, Alexey Ya.

Gradient-free stochastic optimization of derivatives under strong convexity and Chervonenkis, Alexey Ya

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:26:21.131127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 73bf59af-4ea0-496e-acbd-eaf759ab065b · outbound

This paper cites Essai philosophique sur les probabilit.

Gradient-free stochastic optimization of derivatives under strong convexity Essai philosophique sur les probabilit

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:26:21.011537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation cabac4f6-18fe-4fe2-bb55-9ba03f5a6075 · outbound

This paper cites Sphere packing numbers for subsets of the.

Gradient-free stochastic optimization of derivatives under strong convexity Sphere packing numbers for subsets of the

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:26:21.100384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9f5d2c29-520f-4af2-a6d7-05e94c6d2718 · outbound

This paper cites and Shepp, Lawrence A.

Gradient-free stochastic optimization of derivatives under strong convexity and Shepp, Lawrence A

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:26:21.048661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2a0d55e2-713f-4771-8c23-e5d04a301bc1 · outbound

This paper cites an unresolved cited work.

Gradient-free stochastic optimization of derivatives under strong convexity Unresolved cited work

Reference 68

Resolution: unresolved; raw_fallback, observed 2026-07-09T16:26:21.033490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b679829f-4ffb-45c5-a41e-8d9e2a10fa4f · outbound

This paper cites Learning Theory from First Principles , year =.

Gradient-free stochastic optimization of derivatives under strong convexity Learning Theory from First Principles , year =

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:26:21.108413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7217eb27-f7d1-4aac-a01d-76998f85422f · outbound

This paper cites Concentration inequalities in the infinite urn scheme for occupancy counts and the missing mass, with applications , volume =.

Gradient-free stochastic optimization of derivatives under strong convexity Concentration inequalities in the infinite urn scheme for occupancy counts and the missing mass, with applications , volume =

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:26:21.025963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 228593bb-ad64-4676-8fb3-d2dcaaa7cab2 · outbound

This paper cites Integral geometry for the 1-norm , volume =.

Gradient-free stochastic optimization of derivatives under strong convexity Integral geometry for the 1-norm , volume =

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:26:21.096701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 98f13a85-163a-48c3-b495-3d485578198c · outbound

This paper cites Empirical processes with a bounded _1 diameter , volume =.

Gradient-free stochastic optimization of derivatives under strong convexity Empirical processes with a bounded _1 diameter , volume =

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:26:21.078819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5800dae8-1585-4743-848e-ebea031c301a · outbound

This paper cites Reconstruction and subgaussian operators in asymptotic geometric analysis , volume =.

Gradient-free stochastic optimization of derivatives under strong convexity Reconstruction and subgaussian operators in asymptotic geometric analysis , volume =

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:26:21.022131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation bc7da611-fddc-4742-96dc-fcf714150347 · outbound

This paper cites an unresolved cited work.

Gradient-free stochastic optimization of derivatives under strong convexity Unresolved cited work

Reference 74

Resolution: unresolved; raw_fallback, observed 2026-07-09T16:26:21.003982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f4d819cf-3310-4e6a-8b71-5be576d2c819 · outbound

This paper cites and Linde, Werner , journal =.

Gradient-free stochastic optimization of derivatives under strong convexity and Linde, Werner , journal =

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:26:21.015898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0bb1edc7-acb1-42f3-932c-532a0b2944ff · outbound

This paper cites , journal =.

Gradient-free stochastic optimization of derivatives under strong convexity , journal =

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:26:21.046592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d2a7d47c-c53f-4860-9571-1c9b684c8dc0 · outbound

This paper cites and Shao, Qi-Man , journal =.

Gradient-free stochastic optimization of derivatives under strong convexity and Shao, Qi-Man , journal =

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:26:21.092479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7fc64a36-7a0a-45dc-bd58-a002fdc4ba2d · outbound

This paper cites and Montgomery-Smith, Stephen J.

Gradient-free stochastic optimization of derivatives under strong convexity and Montgomery-Smith, Stephen J

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:26:21.009660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 32d5ce3f-a20a-432d-a9ea-a88010a1fc78 · outbound

This paper cites , journal =.

Gradient-free stochastic optimization of derivatives under strong convexity , journal =

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:26:21.129156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3f0f0235-3203-43ad-99f4-f9412e1dbcaa · outbound

This paper cites Probability inequalities for the sum of independent random variables , volume =.

Gradient-free stochastic optimization of derivatives under strong convexity Probability inequalities for the sum of independent random variables , volume =

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:26:21.032526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 795e1065-7abd-44f6-83fd-9a8efb671f46 · outbound

This paper cites Statistical behavior and consistency of classification methods based on convex risk minimization , volume =.

Gradient-free stochastic optimization of derivatives under strong convexity Statistical behavior and consistency of classification methods based on convex risk minimization , volume =

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:26:21.043323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 15d8fa0a-a882-44a0-86ee-524546125c5b · outbound

This paper cites and Nemirovski, Arkadi S.

Gradient-free stochastic optimization of derivatives under strong convexity and Nemirovski, Arkadi S

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:26:21.086382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 341c60b8-8c23-44c4-abb7-4d62d594b952 · outbound

This paper cites On estimation of a probability density function and mode , volume =.

Gradient-free stochastic optimization of derivatives under strong convexity On estimation of a probability density function and mode , volume =

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:26:21.010013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a14e512f-f0ee-4ce4-8d6d-7b286978fd7c · outbound

This paper cites Estimation of the mode , volume =.

Gradient-free stochastic optimization of derivatives under strong convexity Estimation of the mode , volume =

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:26:20.944117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e5561a36-8a6a-41ee-a620-01c7f91ff230 · outbound

This paper cites and Offord, Albert C.

Gradient-free stochastic optimization of derivatives under strong convexity and Offord, Albert C

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:26:20.993867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 49d687c2-94ee-4cad-8e5b-857f92f64c9e · outbound

This paper cites On a lemma of.

Gradient-free stochastic optimization of derivatives under strong convexity On a lemma of

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:26:21.015556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation cfd0c49f-58b5-456c-bcd1-e460c355f091 · outbound

This paper cites , keywords =.

Gradient-free stochastic optimization of derivatives under strong convexity , keywords =

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:26:21.098480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 88e61738-62f4-4618-a0a8-f4026deed461 · outbound

This paper cites On the dependence of the.

Gradient-free stochastic optimization of derivatives under strong convexity On the dependence of the

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:26:21.058311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 11b2c1dc-7e02-4e95-b6cd-490b934166bd · outbound

This paper cites A multivariate.

Gradient-free stochastic optimization of derivatives under strong convexity A multivariate

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:26:20.954158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 927f3205-4a34-4931-bcbd-4e2b5ed0499d · outbound

This paper cites an unresolved cited work.

Gradient-free stochastic optimization of derivatives under strong convexity Unresolved cited work

Reference 90

Resolution: unresolved; raw_fallback, observed 2026-07-09T16:26:21.106472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 82c320cd-d6d3-4f5c-a5ff-67f8e0161712 · outbound

This paper cites an unresolved cited work.

Gradient-free stochastic optimization of derivatives under strong convexity Unresolved cited work

Reference 91

Resolution: unresolved; raw_fallback, observed 2026-07-09T16:26:20.952384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ecbf5312-e8a7-442f-8932-7f176afc9f09 · outbound

This paper cites , journal =.

Gradient-free stochastic optimization of derivatives under strong convexity , journal =

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:26:21.066241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d0c2a6b8-8e29-49a1-91fd-8a063d25b2b1 · outbound

This paper cites A sharper form of the.

Gradient-free stochastic optimization of derivatives under strong convexity A sharper form of the

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:26:21.088457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4774c90b-97a8-41c5-908e-4084d74b3e0f · outbound

This paper cites Zonoids and generalisations , year =.

Gradient-free stochastic optimization of derivatives under strong convexity Zonoids and generalisations , year =

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:26:21.110218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 71d9e3cd-62bf-4cda-81a9-67ec6cf9b718 · outbound

This paper cites High-dimensional analysis of double descent for linear regression with random projections , year =.

Gradient-free stochastic optimization of derivatives under strong convexity High-dimensional analysis of double descent for linear regression with random projections , year =

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:26:20.956227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 205707cb-c734-4579-ae42-9e6b81245f0e · outbound

This paper cites Robust machine learning by median-of-means: theory and practice , volume =.

Gradient-free stochastic optimization of derivatives under strong convexity Robust machine learning by median-of-means: theory and practice , volume =

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:26:21.113108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2aaf6712-0fcc-4528-af20-be77cef0187f · outbound

This paper cites , journal =.

Gradient-free stochastic optimization of derivatives under strong convexity , journal =

Reference 97

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:26:21.020282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d01d9537-186a-449e-aa2d-2af0d24688fd · outbound

This paper cites On the optimal weighted _2 regularization in overparameterized linear regression , volume =.

Gradient-free stochastic optimization of derivatives under strong convexity On the optimal weighted _2 regularization in overparameterized linear regression , volume =

Reference 98

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:26:21.115001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 77119027-dcfb-4014-83d1-703ac057ead2 · outbound

This paper cites A new isoperimetric inequality and the concentration of measure phenomenon , volume =.

Gradient-free stochastic optimization of derivatives under strong convexity A new isoperimetric inequality and the concentration of measure phenomenon , volume =

Reference 99

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:26:20.950179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e9181929-7fe1-4fb1-b3ab-f0d454ba2ab0 · outbound

This paper cites , booktitle =.

Gradient-free stochastic optimization of derivatives under strong convexity , booktitle =

Reference 100

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:26:20.959385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Outbound references

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