Kernel Trace Distance: Quantum Statistical Metric between Measures through RKHS Density Operators | Paper Citation Record

Observation 6587658d-b585-415f-bfe0-93edf4e6b47d · outbound

This paper cites Integral probability metrics PAC-bayes bounds.

Kernel Trace Distance: Quantum Statistical Metric between Measures through RKHS Density Operators Integral probability metrics PAC-bayes bounds

Reference 1

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This paper cites Maximum Mean Discrepancy Gradient Flow.

Kernel Trace Distance: Quantum Statistical Metric between Measures through RKHS Density Operators Maximum Mean Discrepancy Gradient Flow

Reference 2

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This paper cites Wasserstein generative adversarial networks.

Kernel Trace Distance: Quantum Statistical Metric between Measures through RKHS Density Operators Wasserstein generative adversarial networks

Reference 3

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Observation 38230e5f-5b2b-4b1b-b790-89489933f981 · outbound

This paper cites Sur les matrices hypohermitiennes et sur les matrices unitaires.

Kernel Trace Distance: Quantum Statistical Metric between Measures through RKHS Density Operators Sur les matrices hypohermitiennes et sur les matrices unitaires

Reference 4

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Observation a46f85ab-ac01-4a6e-ab6f-ec6e02c49b36 · outbound

This paper cites Information theory with kernel methods.

Kernel Trace Distance: Quantum Statistical Metric between Measures through RKHS Density Operators Information theory with kernel methods

Reference 5

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Observation 68207e7c-04a7-4839-8de1-52b5277cb201 · outbound

This paper cites Statistical Inference: the Minimum Distance Approach.

Kernel Trace Distance: Quantum Statistical Metric between Measures through RKHS Density Operators Statistical Inference: the Minimum Distance Approach

Reference 6

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Observation 084f986c-33c8-4335-abf2-ed763a8e3c97 · outbound

This paper cites Approximate Bayesian computation with the Wasserstein distance.

Kernel Trace Distance: Quantum Statistical Metric between Measures through RKHS Density Operators Approximate Bayesian computation with the Wasserstein distance

Reference 7

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Observation c150529a-5656-43c1-b4aa-fcdf859b242a · outbound

This paper cites On the Bures-Wasserstein distance between positive definite matrices.

Kernel Trace Distance: Quantum Statistical Metric between Measures through RKHS Density Operators On the Bures-Wasserstein distance between positive definite matrices

Reference 8

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This paper cites (f, Gamma)-Divergences: Interpolating between f-Divergences and Integral Probability Metrics.

Kernel Trace Distance: Quantum Statistical Metric between Measures through RKHS Density Operators (f, Gamma)-Divergences: Interpolating between f-Divergences and Integral Probability Metrics

Reference 9

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Observation 536ea9bf-1089-4848-8200-906f107475ca · outbound

This paper cites Statistical properties of kernel principal component analysis.

Kernel Trace Distance: Quantum Statistical Metric between Measures through RKHS Density Operators Statistical properties of kernel principal component analysis

Reference 10

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Observation 36d20018-277b-4d2e-90fa-7cc14d5e9ad5 · outbound

This paper cites Statistical and Geometrical properties of regularized Kernel Kullback-Leibler divergence.

Kernel Trace Distance: Quantum Statistical Metric between Measures through RKHS Density Operators Statistical and Geometrical properties of regularized Kernel Kullback-Leibler divergence

Reference 11

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Observation df7c83c8-e7f5-47ca-8856-096e49c0ffb5 · outbound

This paper cites (De)-regularized Maximum Mean Discrepancy Gradient Flow.

Kernel Trace Distance: Quantum Statistical Metric between Measures through RKHS Density Operators (De)-regularized Maximum Mean Discrepancy Gradient Flow

Reference 12

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Observation 4c8030ca-d1ac-42b2-bfe5-5196ae5c5bfb · outbound

This paper cites Testing for homogeneity with kernel fisher discriminant analysis.

Kernel Trace Distance: Quantum Statistical Metric between Measures through RKHS Density Operators Testing for homogeneity with kernel fisher discriminant analysis

Reference 13

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Observation 60df471f-e57d-4d50-ad41-2aaea17453a9 · outbound

This paper cites Testing for homogeneity with kernel Fisher discriminant analysis.

Kernel Trace Distance: Quantum Statistical Metric between Measures through RKHS Density Operators Testing for homogeneity with kernel Fisher discriminant analysis

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:21:00.159441Z

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Observation 3e30e6b6-6eb2-4b5f-9a73-d8f5a1b59acf · outbound

This paper cites Interpolating between Optimal Transport and MMD using Sinkhorn Divergences.

Kernel Trace Distance: Quantum Statistical Metric between Measures through RKHS Density Operators Interpolating between Optimal Transport and MMD using Sinkhorn Divergences

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:21:00.152240Z

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Observation 759e5d7e-0f3b-4b61-a4a2-778a2ca3b7bc · outbound

This paper cites Robust and Efficient Approximate Bayesian Computation: A Minimum Distance Approach.

Kernel Trace Distance: Quantum Statistical Metric between Measures through RKHS Density Operators Robust and Efficient Approximate Bayesian Computation: A Minimum Distance Approach

Reference 16

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Observation 30272e63-d53e-4a4b-b568-1f20139dcb04 · outbound

This paper cites Cryptographic distinguishability measures for quantum-mechanical states.

Kernel Trace Distance: Quantum Statistical Metric between Measures through RKHS Density Operators Cryptographic distinguishability measures for quantum-mechanical states

Reference 17

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Observation 2d6625bb-f561-4f5e-8226-e34458b9a057 · outbound

This paper cites Learning Generative Models with Sinkhorn Divergences.

Kernel Trace Distance: Quantum Statistical Metric between Measures through RKHS Density Operators Learning Generative Models with Sinkhorn Divergences

Reference 18

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Observation 4da7b0b1-db79-4ae8-837e-1ee3634efeb6 · outbound

This paper cites Generative Adversarial Nets.

Kernel Trace Distance: Quantum Statistical Metric between Measures through RKHS Density Operators Generative Adversarial Nets

Reference 19

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Observation 4f49a3f0-abf1-4d43-a659-4a6472596647 · outbound

This paper cites A Kernel Two-Sample Test.

Kernel Trace Distance: Quantum Statistical Metric between Measures through RKHS Density Operators A Kernel Two-Sample Test

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:21:00.123441Z

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Observation 5d616210-90e1-4c9a-949b-179ce0e0d7f3 · outbound

This paper cites Spectral Regularized Kernel Goodness-of-Fit Tests.

Kernel Trace Distance: Quantum Statistical Metric between Measures through RKHS Density Operators Spectral Regularized Kernel Goodness-of-Fit Tests

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:21:00.116181Z

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Observation 587e5a92-48ed-4175-a2e3-4a64618c57a7 · outbound

This paper cites Generative Sliced MMD Flows with Riesz Kernels.

Kernel Trace Distance: Quantum Statistical Metric between Measures through RKHS Density Operators Generative Sliced MMD Flows with Riesz Kernels

Reference 22

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Observation d5325d6e-c47d-4572-8c9e-f51dab29fd6c · outbound

This paper cites Robust Estimation of a Location Parameter.

Kernel Trace Distance: Quantum Statistical Metric between Measures through RKHS Density Operators Robust Estimation of a Location Parameter

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:21:00.108558Z

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Observation ea90812a-1669-43c0-bb56-f21e911e3389 · outbound

This paper cites Adversarial interpretation of Bayesian inference.

Kernel Trace Distance: Quantum Statistical Metric between Measures through RKHS Density Operators Adversarial interpretation of Bayesian inference

Reference 24

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Observation 9e51d2ba-5997-42e0-ab00-ff9a31a1fb21 · outbound

This paper cites Approximate Bayesian computation with Kullback-Leibler divergence as data discrepancy.

Kernel Trace Distance: Quantum Statistical Metric between Measures through RKHS Density Operators Approximate Bayesian computation with Kullback-Leibler divergence as data discrepancy

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:21:00.092141Z

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Observation 76480077-652d-4b97-bf80-dd2320c1e99f · outbound

This paper cites Approximation by finitely supported measures.

Kernel Trace Distance: Quantum Statistical Metric between Measures through RKHS Density Operators Approximation by finitely supported measures

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:21:00.084017Z

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Observation ebe66d80-d5e4-4262-b393-be28c1f937b4 · outbound

This paper cites Kernel stein discrepancy descent.

Kernel Trace Distance: Quantum Statistical Metric between Measures through RKHS Density Operators Kernel stein discrepancy descent

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:21:00.077010Z

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Observation 08f0ac0d-0479-4c01-a694-30c378581f55 · outbound

This paper cites Concentration of discrepancy-based approximate Bayesian computation via Rademacher complexity.

Kernel Trace Distance: Quantum Statistical Metric between Measures through RKHS Density Operators Concentration of discrepancy-based approximate Bayesian computation via Rademacher complexity

Reference 28

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Observation ecdd309c-67dd-44ef-a8fa-86845fe47862 · outbound

This paper cites Mmd gan: Towards deeper understanding of moment matching network.

Kernel Trace Distance: Quantum Statistical Metric between Measures through RKHS Density Operators Mmd gan: Towards deeper understanding of moment matching network

Reference 29

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Observation f28da189-bc29-41cd-b21f-0a3d9210e533 · outbound

This paper cites Lindsay, Marianthi Markatou, Surajit Ray, Ke Yang, and Shu-Chuan Chen.

Kernel Trace Distance: Quantum Statistical Metric between Measures through RKHS Density Operators Lindsay, Marianthi Markatou, Surajit Ray, Ke Yang, and Shu-Chuan Chen

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:21:00.061585Z

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Observation 1d91b931-a382-4c5d-9f24-5250c3fe1244 · outbound

This paper cites Mcgan: Mean and covariance feature matching gan.

Kernel Trace Distance: Quantum Statistical Metric between Measures through RKHS Density Operators Mcgan: Mean and covariance feature matching gan

Reference 31

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Observation 8c2558ca-387a-472b-8f9f-5f7c4157d3b2 · outbound

This paper cites Integral Probability Metrics and Their Generating Classes of Functions.

Kernel Trace Distance: Quantum Statistical Metric between Measures through RKHS Density Operators Integral Probability Metrics and Their Generating Classes of Functions

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:21:00.047130Z

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Observation 6eb8c7f3-3f30-4a12-8a8a-bd322a179d81 · outbound

This paper cites Wasserstein Gradient Flows for Moreau Envelopes of f-Divergences in Reproducing Kernel Hilbert Spaces.

Kernel Trace Distance: Quantum Statistical Metric between Measures through RKHS Density Operators Wasserstein Gradient Flows for Moreau Envelopes of f-Divergences in Reproducing Kernel Hilbert Spaces

Reference 33

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Observation 08641efc-b6c6-48ea-91db-cb91e48483f7 · outbound

This paper cites A novel kernel Wasserstein distance on Gaussian measures: an application of identifying dental artifacts in head and neck computed tomography.

Kernel Trace Distance: Quantum Statistical Metric between Measures through RKHS Density Operators A novel kernel Wasserstein distance on Gaussian measures: an application of identifying dental artifacts in head and neck computed tomography

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:21:00.039946Z

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Observation 9c254f0c-f27b-4016-b81a-61f00733fec3 · outbound

This paper cites On the Sample Complexity of Subspace Learning.

Kernel Trace Distance: Quantum Statistical Metric between Measures through RKHS Density Operators On the Sample Complexity of Subspace Learning

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:21:00.032421Z

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Observation bc538f11-8bdf-4421-adcf-04e6e8db5979 · outbound

This paper cites Equivalence of distance-based and rkhs-based statistics in hypothesis testing.

Kernel Trace Distance: Quantum Statistical Metric between Measures through RKHS Density Operators Equivalence of distance-based and rkhs-based statistics in hypothesis testing

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:21:00.025030Z

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Observation 48178d38-e2af-467f-a0a0-76d071656332 · outbound

This paper cites Trace ideals and their applications.

Kernel Trace Distance: Quantum Statistical Metric between Measures through RKHS Density Operators Trace ideals and their applications

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:21:00.017128Z

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Observation 975d4f3b-7efa-4efc-885e-dda72452754c · outbound

This paper cites Approximate kernel PCA: Computational versus statistical trade-off.

Kernel Trace Distance: Quantum Statistical Metric between Measures through RKHS Density Operators Approximate kernel PCA: Computational versus statistical trade-off

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:21:00.009053Z

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Observation 73a9a405-e902-405e-9eb4-9b51f78d4d0e · outbound

This paper cites Non-parametric Estimation of Integral Probability Metrics.

Kernel Trace Distance: Quantum Statistical Metric between Measures through RKHS Density Operators Non-parametric Estimation of Integral Probability Metrics

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:21:00.001122Z

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Observation affc4d0a-110d-44e6-8291-94c9984f931f · outbound

This paper cites On the Influence of the Kernel on the Consistency of Support Vector Machines.

Kernel Trace Distance: Quantum Statistical Metric between Measures through RKHS Density Operators On the Influence of the Kernel on the Consistency of Support Vector Machines

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:20:59.993159Z

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Observation 4e5284e7-e41d-4563-93fe-b57d8668637e · outbound

This paper cites Statistical Optimality and Computational Efficiency of Nystrom Kernel PCA.

Kernel Trace Distance: Quantum Statistical Metric between Measures through RKHS Density Operators Statistical Optimality and Computational Efficiency of Nystrom Kernel PCA

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:20:59.984468Z

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Observation 0e000a94-b0e5-4bc7-8908-bb274b127c9f · outbound

This paper cites Gain with no Pain: Efficiency of Kernel-PCA by Nyström Sampling.

Kernel Trace Distance: Quantum Statistical Metric between Measures through RKHS Density Operators Gain with no Pain: Efficiency of Kernel-PCA by Nyström Sampling

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:20:59.975826Z

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Observation 4f74fe9e-f87d-42dd-8437-2568616a5a08 · outbound

This paper cites On an Algebraic Problem reluted to an Analytic Theorem of Carath \'e odory and Fej \'e r and on an Allied Theorem of Landau.

Kernel Trace Distance: Quantum Statistical Metric between Measures through RKHS Density Operators On an Algebraic Problem reluted to an Analytic Theorem of Carath \'e odory and Fej \'e r and on an Allied Theorem of Landau

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:20:59.966901Z

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

Observation fd82c879-2307-4294-992e-4abbd90702bb · outbound

This paper cites Inferring coalescence times from DNA sequence data.

Kernel Trace Distance: Quantum Statistical Metric between Measures through RKHS Density Operators Inferring coalescence times from DNA sequence data

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:20:59.958593Z

Source-reported events for the cited work

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

Observation eaf53011-73bd-4bea-8c3f-fca63176dda0 · outbound

This paper cites An Introduction to Matrix Concentration Inequalities.

Kernel Trace Distance: Quantum Statistical Metric between Measures through RKHS Density Operators An Introduction to Matrix Concentration Inequalities

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:20:59.948855Z

Source-reported events for the cited work

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

Observation 21b429bf-e79f-46b7-a886-9aa950e31587 · outbound

This paper cites Optimal transport: Old and New , volume 338.

Kernel Trace Distance: Quantum Statistical Metric between Measures through RKHS Density Operators Optimal transport: Old and New , volume 338

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-06T19:20:59.760314Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 066b38bd-3f9b-4c26-977f-d026d559098c · outbound

This paper cites The Theory of Quantum Information.

Kernel Trace Distance: Quantum Statistical Metric between Measures through RKHS Density Operators The Theory of Quantum Information

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:20:59.935854Z

Source-reported events for the cited work

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

Observation 23718b82-1c14-4343-8ee1-50f5966de703 · outbound

This paper cites The Minimum Distance Method.

Kernel Trace Distance: Quantum Statistical Metric between Measures through RKHS Density Operators The Minimum Distance Method

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:20:59.927609Z

Source-reported events for the cited work

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

Observation e661c73e-eb5c-4a3e-9d58-2f16930843dc · outbound

This paper cites Optimal transport in reproducing kernel hilbert spaces: Theory and applications.

Kernel Trace Distance: Quantum Statistical Metric between Measures through RKHS Density Operators Optimal transport in reproducing kernel hilbert spaces: Theory and applications

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:20:59.920049Z

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