Causal Discovery via Bayesian Optimization | Paper Citation Record

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This paper cites write newline.

Causal Discovery via Bayesian Optimization write newline

Reference 1

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Observation 4c62a390-ea16-4c6d-a628-b013c77fb26a · outbound

This paper cites Causal B ayesian optimization.

Causal Discovery via Bayesian Optimization Causal B ayesian optimization

Reference 2

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Observation 01c9008d-7aa3-4eb8-b8b7-1a8c15782a64 · outbound

This paper cites Dynamic causal bayesian optimization.

Causal Discovery via Bayesian Optimization Dynamic causal bayesian optimization

Reference 3

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Observation 0ac3f3ce-264b-4169-aab8-0c5af067168d · outbound

This paper cites Bayes DAG : Gradient-based posterior sampling for causal discovery.

Causal Discovery via Bayesian Optimization Bayes DAG : Gradient-based posterior sampling for causal discovery

Reference 4

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Observation 15125e3b-c4c4-494a-9c69-869af9a01432 · outbound

This paper cites Emergence of scaling in random networks.

Causal Discovery via Bayesian Optimization Emergence of scaling in random networks

Reference 5

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Observation c32aca65-3bc5-4864-80fa-f165d633b16c · outbound

This paper cites The ALARM monitoring system: A case study with two probabilistic inference techniques for belief networks.

Causal Discovery via Bayesian Optimization The ALARM monitoring system: A case study with two probabilistic inference techniques for belief networks

Reference 6

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Observation 3b5c83f0-18c5-487e-901a-6a94ead425d9 · outbound

This paper cites DAGMA : learning DAG s via M -matrices and a log-determinant acyclicity characterization.

Causal Discovery via Bayesian Optimization DAGMA : learning DAG s via M -matrices and a log-determinant acyclicity characterization

Reference 7

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Observation 6278fce4-e4db-4822-9f81-b64feb9dc53e · outbound

This paper cites Differentiable causal discovery from interventional data.

Causal Discovery via Bayesian Optimization Differentiable causal discovery from interventional data

Reference 8

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Observation 7d92973f-6c2c-484e-8180-af77e6ea9010 · outbound

This paper cites CAM : Causal additive models, high-dimensional order search and penalized regression.

Causal Discovery via Bayesian Optimization CAM : Causal additive models, high-dimensional order search and penalized regression

Reference 9

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Observation 479cf827-2ce5-4d18-9637-948008791de3 · outbound

This paper cites Learning B ayesian networks is NP -complete.

Causal Discovery via Bayesian Optimization Learning B ayesian networks is NP -complete

Reference 10

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Observation a3702c40-3a2a-4699-a4b3-c6c17a13c826 · outbound

This paper cites Optimal structure identification with greedy search.

Causal Discovery via Bayesian Optimization Optimal structure identification with greedy search

Reference 11

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Observation f36168ee-a68d-4988-8149-945cb84d2409 · outbound

This paper cites Learning high-dimensional directed acyclic graphs with latent and selection variables.

Causal Discovery via Bayesian Optimization Learning high-dimensional directed acyclic graphs with latent and selection variables

Reference 12

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Observation 8b5b1cc1-9a4a-4cdc-9a92-55355e12a2c6 · outbound

This paper cites Multi-objective bayesian optimization over high-dimensional search spaces.

Causal Discovery via Bayesian Optimization Multi-objective bayesian optimization over high-dimensional search spaces

Reference 13

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Observation 82f7a267-d9a3-4ef5-9085-ec4ddeb242e9 · outbound

This paper cites Bayesian structure learning with generative flow networks.

Causal Discovery via Bayesian Optimization Bayesian structure learning with generative flow networks

Reference 14

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Observation 05513e7a-376a-4377-91d9-a965799445d7 · outbound

This paper cites Joint B ayesian inference of graphical structure and parameters with a single generative flow network.

Causal Discovery via Bayesian Optimization Joint B ayesian inference of graphical structure and parameters with a single generative flow network

Reference 15

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Observation dd016a03-c0d5-449c-b161-a6ccd0fc8ced · outbound

This paper cites Reinforcement Learning for Causal Discovery without Acyclicity Constraints.

Causal Discovery via Bayesian Optimization Reinforcement Learning for Causal Discovery without Acyclicity Constraints

Reference 16

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Observation 21749fb6-0bc7-40e1-805f-d955cfb49f83 · outbound

This paper cites On the evolution of random graphs.

Causal Discovery via Bayesian Optimization On the evolution of random graphs

Reference 17

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Observation 11507889-d187-4bef-98d3-5fecebddfa8d · outbound

This paper cites Scalable global optimization via local B ayesian optimization.

Causal Discovery via Bayesian Optimization Scalable global optimization via local B ayesian optimization

Reference 18

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Observation 04698220-0817-40e9-a46a-c0914dd245f1 · outbound

This paper cites On low-rank directed acyclic graphs and causal structure learning.

Causal Discovery via Bayesian Optimization On low-rank directed acyclic graphs and causal structure learning

Reference 19

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Observation 0b14e964-f1ac-4240-8b85-e4067bf1541a · outbound

This paper cites Dropout as a bayesian approximation: Representing model uncertainty in deep learning.

Causal Discovery via Bayesian Optimization Dropout as a bayesian approximation: Representing model uncertainty in deep learning

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:52:04.502308Z

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Observation d70904a1-b8cd-4511-a5c4-29756b1d6562 · outbound

This paper cites Deep active learning with a neural architecture search.

Causal Discovery via Bayesian Optimization Deep active learning with a neural architecture search

Reference 21

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Observation c62fcbd6-f091-4beb-9f00-772f29d021e9 · outbound

This paper cites Learning G aussian networks.

Causal Discovery via Bayesian Optimization Learning G aussian networks

Reference 22

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Observation 10488707-fee1-4cb6-a4c8-c5e94328d301 · outbound

This paper cites Heterogeneous ensemble-based infill criterion for evolutionary multiobjective optimization of expensive problems.

Causal Discovery via Bayesian Optimization Heterogeneous ensemble-based infill criterion for evolutionary multiobjective optimization of expensive problems

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:52:04.470576Z

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Observation b14ec31e-fc17-4905-b35c-b14de15831f3 · outbound

This paper cites Evolutionary optimization of high-dimensional multiobjective and many-objective expensive problems assisted by a dropout neural network.

Causal Discovery via Bayesian Optimization Evolutionary optimization of high-dimensional multiobjective and many-objective expensive problems assisted by a dropout neural network

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:52:04.459211Z

Source-reported events for the cited work

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Observation bc96f0f6-d106-47e6-830c-5878b156c8e5 · outbound

This paper cites On the choice of a model to fit data from an exponential family.

Causal Discovery via Bayesian Optimization On the choice of a model to fit data from an exponential family

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:52:04.447323Z

Source-reported events for the cited work

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Observation b03674b5-d7fe-42e9-b2a6-a9cb9fd26a83 · outbound

This paper cites Characterization and greedy learning of interventional M arkov equivalence classes of directed acyclic graphs.

Causal Discovery via Bayesian Optimization Characterization and greedy learning of interventional M arkov equivalence classes of directed acyclic graphs

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:52:04.436820Z

Source-reported events for the cited work

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Observation 80cba1d4-e0a3-41d6-bf33-b1bf0d906e74 · outbound

This paper cites Learning B ayesian networks: The combination of knowledge and statistical data.

Causal Discovery via Bayesian Optimization Learning B ayesian networks: The combination of knowledge and statistical data

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:52:04.425843Z

Source-reported events for the cited work

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Observation 6ce40607-d75e-4fae-91af-44974e863aa2 · outbound

This paper cites Scalable variational G aussian process classification.

Causal Discovery via Bayesian Optimization Scalable variational G aussian process classification

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:52:04.412211Z

Source-reported events for the cited work

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Observation 02d102fd-3502-427c-89fa-7370ad7360f8 · outbound

This paper cites Nonlinear causal discovery with additive noise models.

Causal Discovery via Bayesian Optimization Nonlinear causal discovery with additive noise models

Reference 29

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d530391d-16fc-4923-8591-2d9ab8f497f4 · outbound

This paper cites Sequential model-based optimization for general algorithm configuration.

Causal Discovery via Bayesian Optimization Sequential model-based optimization for general algorithm configuration

Reference 30

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 6dc92832-bce0-4b13-8938-8abc996acc6a · outbound

This paper cites Batch normalization: Accelerating deep network training by reducing internal covariate shift.

Causal Discovery via Bayesian Optimization Batch normalization: Accelerating deep network training by reducing internal covariate shift

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:52:04.372745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c832af0b-80b1-4b96-8ba7-378524f78a7e · outbound

This paper cites Batch B ayesian optimization using multi-scale search.

Causal Discovery via Bayesian Optimization Batch B ayesian optimization using multi-scale search

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:52:04.360263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 37f4a79c-418a-47ab-957b-729ce4655744 · outbound

This paper cites Toward optimal feature selection.

Causal Discovery via Bayesian Optimization Toward optimal feature selection

Reference 33

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Source-reported events for the cited work

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Observation 29dc0e51-796b-4457-83ce-07fe21216ea5 · outbound

This paper cites Bayesian artificial intelligence.

Causal Discovery via Bayesian Optimization Bayesian artificial intelligence

Reference 34

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Observation 06f7f40c-a136-4e50-99bf-f5b43cd95bc0 · outbound

This paper cites Addendum on the scoring of G aussian directed acyclic graphical models.

Causal Discovery via Bayesian Optimization Addendum on the scoring of G aussian directed acyclic graphical models

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:52:04.327620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c5d2d198-0209-4f89-8bf0-60e5438edb4d · outbound

This paper cites Gradient-based neural DAG learning.

Causal Discovery via Bayesian Optimization Gradient-based neural DAG learning

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:52:04.315237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a66729e0-5ca7-4636-8910-9d65ff0a12d7 · outbound

This paper cites Local computations with probabilities on graphical structures and their application to expert systems.

Causal Discovery via Bayesian Optimization Local computations with probabilities on graphical structures and their application to expert systems

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:52:04.302581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 67426a25-4b9b-4eba-86fc-a83dd4a7b47b · outbound

This paper cites Hodge L aplacians on graphs.

Causal Discovery via Bayesian Optimization Hodge L aplacians on graphs

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:52:04.288492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c15d439f-079a-46bb-95d5-cb98f1b2d97e · outbound

This paper cites Efficient neural causal discovery without acyclicity constraints.

Causal Discovery via Bayesian Optimization Efficient neural causal discovery without acyclicity constraints

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:52:04.277166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 47d258d5-ad09-4faf-959e-b9906a9ac5c8 · outbound

This paper cites Progressive neural architecture search.

Causal Discovery via Bayesian Optimization Progressive neural architecture search

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:52:04.265744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 8ecf98fa-266b-4021-a52b-cdb6726cf0d7 · outbound

This paper cites Constraint-free structure learning with smooth acyclic orientations.

Causal Discovery via Bayesian Optimization Constraint-free structure learning with smooth acyclic orientations

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:52:04.253812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 6d2bacb8-0b2f-411b-b62c-1a519ba60557 · outbound

This paper cites A comparison of three methods for selecting values of input variables in the analysis of output from a computer code.

Causal Discovery via Bayesian Optimization A comparison of three methods for selecting values of input variables in the analysis of output from a computer code

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-10T14:52:03.342262Z

Source-reported events for the cited work

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Observation d5794a0c-4353-4be9-9cda-eff30dcb9c17 · outbound

This paper cites Scalable causal discovery with score matching.

Causal Discovery via Bayesian Optimization Scalable causal discovery with score matching

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:52:04.233628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 4bb3846c-fb16-43ff-85f9-d3deea378457 · outbound

This paper cites On the role of sparsity and DAG constraints for learning linear DAG s.

Causal Discovery via Bayesian Optimization On the role of sparsity and DAG constraints for learning linear DAG s

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:52:04.221129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 19d6e749-e1b5-453b-8d9b-dacd28bd92e7 · outbound

This paper cites Scrambling S obol' and N iederreiter-- X ing points.

Causal Discovery via Bayesian Optimization Scrambling S obol' and N iederreiter-- X ing points

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:52:04.207813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a730ef41-1595-423d-befa-e5ea7e057906 · outbound

This paper cites Models, reasoning and inference.

Causal Discovery via Bayesian Optimization Models, reasoning and inference

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:52:04.195487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 117a4cce-fb36-42a9-95a2-cdea472b334a · outbound

This paper cites Causality.

Causal Discovery via Bayesian Optimization Causality

Reference 47

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Source-reported events for the cited work

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Observation ae1a405b-97a2-4e1c-9752-036d851f0454 · outbound

This paper cites Causal discovery with continuous additive noise models.

Causal Discovery via Bayesian Optimization Causal discovery with continuous additive noise models

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:52:04.177468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e6c3ddd6-9ca3-4f4d-b47f-98693ad99572 · outbound

This paper cites Elements of causal inference: foundations and learning algorithms.

Causal Discovery via Bayesian Optimization Elements of causal inference: foundations and learning algorithms

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-10T14:52:03.370197Z

Source-reported events for the cited work

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Observation 1f82ec61-1480-4c20-84d0-482a223e443a · outbound

This paper cites an unresolved cited work.

Causal Discovery via Bayesian Optimization Unresolved cited work

Reference 50

Resolution: unresolved; raw_fallback, observed 2026-08-10T14:52:04.157849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f02ab4dd-1bfa-4ed5-bbae-cbe5057088d7 · outbound

This paper cites Scaling up Greedy Causal Search for Continuous Variables.

Causal Discovery via Bayesian Optimization Scaling up Greedy Causal Search for Continuous Variables

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-10T14:52:03.378106Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8042c51-641f-48be-9445-3772e5ae44a1 · outbound

This paper cites Gaussian processes in machine learning.

Causal Discovery via Bayesian Optimization Gaussian processes in machine learning

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:52:04.145619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0dc74b51-3f0c-406a-9b73-b0b87afadf76 · outbound

This paper cites Combining radial basis function surrogates and dynamic coordinate search in high-dimensional expensive black-box optimization.

Causal Discovery via Bayesian Optimization Combining radial basis function surrogates and dynamic coordinate search in high-dimensional expensive black-box optimization

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:52:04.133847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0fb9f665-7785-4327-b5a1-25446ef8b755 · outbound

This paper cites Beware of the simulated dag! causal discovery benchmarks may be easy to game.

Causal Discovery via Bayesian Optimization Beware of the simulated dag! causal discovery benchmarks may be easy to game

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:52:04.122413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 34116801-85b0-49c7-bfd9-8cbd7389760c · outbound

This paper cites Counting unlabeled acyclic digraphs.

Causal Discovery via Bayesian Optimization Counting unlabeled acyclic digraphs

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:52:04.109312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ae96e367-c791-4c13-9022-685602e9145a · outbound

This paper cites a us Kleindessner, Chris Russell, Dominik Janzing, Bernhard Sch \.

Causal Discovery via Bayesian Optimization a us Kleindessner, Chris Russell, Dominik Janzing, Bernhard Sch \

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:52:04.096902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5ae55b6c-e9f3-4066-b3fb-93b4a2cb3126 · outbound

This paper cites Learning to optimize via posterior sampling.

Causal Discovery via Bayesian Optimization Learning to optimize via posterior sampling

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-10T14:52:03.400110Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 12ee00ed-0798-4ce2-a099-7793ce4b331d · outbound

This paper cites Causal protein-signaling networks derived from multiparameter single-cell data.

Causal Discovery via Bayesian Optimization Causal protein-signaling networks derived from multiparameter single-cell data

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:52:04.078492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 281a2ee3-35a1-4623-b13b-2921f6dc1289 · outbound

This paper cites Tsaftaris.

Causal Discovery via Bayesian Optimization Tsaftaris

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:52:04.066778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 8f02ed7a-7353-4797-a419-3ebca18853df · outbound

This paper cites Estimating the dimension of a model.

Causal Discovery via Bayesian Optimization Estimating the dimension of a model

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:52:04.054723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 24d19111-a533-485c-946b-511fd5e3273c · outbound

This paper cites Learning B ayesian networks with the bnlearn R package.

Causal Discovery via Bayesian Optimization Learning B ayesian networks with the bnlearn R package

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:52:04.041946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1bb5fd04-6590-43df-bb7e-16f7f1c7e5dd · outbound

This paper cites Sparse gaussian processes using pseudo-inputs.

Causal Discovery via Bayesian Optimization Sparse gaussian processes using pseudo-inputs

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-10T14:52:03.423180Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ab7558c-924b-43e6-8b79-44888ad80acd · outbound

This paper cites Scalable bayesian optimization using deep neural networks.

Causal Discovery via Bayesian Optimization Scalable bayesian optimization using deep neural networks

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:52:04.023174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 900a0b90-f36a-468c-b4cf-e1c0c08ce336 · outbound

This paper cites Learning in probabilistic expert systems.

Causal Discovery via Bayesian Optimization Learning in probabilistic expert systems

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:52:04.011727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b9c8a26c-34a4-4372-b356-6d95fa4b8974 · outbound

This paper cites Causation, prediction, and search.

Causal Discovery via Bayesian Optimization Causation, prediction, and search

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:52:03.999455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 90d92a04-0012-43ab-9d4d-06ec297f2d90 · outbound

This paper cites Bayesian optimization with robust B ayesian neural networks.

Causal Discovery via Bayesian Optimization Bayesian optimization with robust B ayesian neural networks

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:52:03.987222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 84d31dd3-fa96-4a89-85b2-4dc56520654b · outbound

This paper cites Gaussian process optimization in the bandit setting: No regret and experimental design.

Causal Discovery via Bayesian Optimization Gaussian process optimization in the bandit setting: No regret and experimental design

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:52:03.975921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation fb787a30-0c06-402d-b8a2-585dc46c1f1d · outbound

This paper cites Dropout: a simple way to prevent neural networks from overfitting.

Causal Discovery via Bayesian Optimization Dropout: a simple way to prevent neural networks from overfitting

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:52:03.964384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7d4216ac-651b-4ea3-bdad-28cccb3fd99c · outbound

This paper cites On the likelihood that one unknown probability exceeds another in view of the evidence of two samples.

Causal Discovery via Bayesian Optimization On the likelihood that one unknown probability exceeds another in view of the evidence of two samples

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:52:03.949640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d5ccd386-04df-4937-8231-3402250b3505 · outbound

This paper cites Variational learning of inducing variables in sparse G aussian processes.

Causal Discovery via Bayesian Optimization Variational learning of inducing variables in sparse G aussian processes

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:52:03.932999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d007da42-8ba9-4c5b-ba76-100f400b5e2c · outbound

This paper cites Active bayesian causal inference.

Causal Discovery via Bayesian Optimization Active bayesian causal inference

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:52:03.918486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 241bba09-9de5-4cdc-90cb-d66af80dab80 · outbound

This paper cites Differentiable bayesian structure learning with acyclicity assurance.

Causal Discovery via Bayesian Optimization Differentiable bayesian structure learning with acyclicity assurance

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:52:03.901296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 340152c6-9498-4ce9-a877-96d7c7fe6581 · outbound

This paper cites Incremental induction of decision trees.

Causal Discovery via Bayesian Optimization Incremental induction of decision trees

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:52:03.889574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 12a7bb91-102f-4127-96c5-a4ada4f89b3b · outbound

This paper cites Decision tree induction based on efficient tree restructuring.

Causal Discovery via Bayesian Optimization Decision tree induction based on efficient tree restructuring

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:52:03.877292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3816630e-3b83-43ba-a105-571e46b58032 · outbound

This paper cites Random sampling with a reservoir.

Causal Discovery via Bayesian Optimization Random sampling with a reservoir

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-10T14:52:03.474079Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d124ed6d-1515-4807-98c6-648910baf363 · outbound

This paper cites A comprehensive survey of continual learning: theory, method and application.

Causal Discovery via Bayesian Optimization A comprehensive survey of continual learning: theory, method and application

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-10T14:52:03.477851Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b3f565bb-1b0c-4e0f-94cc-55d66369aef9 · outbound

This paper cites Ordering-based causal discovery with reinforcement learning.

Causal Discovery via Bayesian Optimization Ordering-based causal discovery with reinforcement learning

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:52:03.846268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ef975be7-6bb6-4a2e-8189-f6d245a97bf3 · outbound

This paper cites Recent advances in B ayesian optimization.

Causal Discovery via Bayesian Optimization Recent advances in B ayesian optimization

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:52:03.834135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation eb515bac-3857-4c10-88eb-c0ff85209cb6 · outbound

This paper cites Batched large-scale B ayesian optimization in high-dimensional spaces.

Causal Discovery via Bayesian Optimization Batched large-scale B ayesian optimization in high-dimensional spaces

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:52:03.821150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 94512af3-1ac6-4706-a0b6-02f6e5f9691f · outbound

This paper cites Feature selection for high-dimensional genomic microarray data.

Causal Discovery via Bayesian Optimization Feature selection for high-dimensional genomic microarray data

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:52:03.806504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 56addc39-da80-432e-8cb4-a22557a80570 · outbound

This paper cites Reinforcement causal structure learning on order graph.

Causal Discovery via Bayesian Optimization Reinforcement causal structure learning on order graph

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:52:03.792523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 4bdb14c8-5d1e-4472-86c4-131ff20ce644 · outbound

This paper cites Causal discovery by graph attention reinforcement learning.

Causal Discovery via Bayesian Optimization Causal discovery by graph attention reinforcement learning

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:52:03.780333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 22386062-fa06-4961-9e6c-9413907bb568 · outbound

This paper cites DAG-GNN : DAG structure learning with graph neural networks.

Causal Discovery via Bayesian Optimization DAG-GNN : DAG structure learning with graph neural networks

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:52:03.768959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 48805f0d-63f7-4f90-87de-27202d684d46 · outbound

This paper cites DAG s with N o C url: An efficient DAG structure learning approach.

Causal Discovery via Bayesian Optimization DAG s with N o C url: An efficient DAG structure learning approach

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:52:03.756730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ee4f0413-e37d-44da-b21c-ff46812ffecb · outbound

This paper cites gCastle: A Python Toolbox for Causal Discovery.

Causal Discovery via Bayesian Optimization gCastle: A Python Toolbox for Causal Discovery

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-10T14:52:03.512731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 249294ac-94d5-448b-a8e6-8a8ad21680be · outbound

This paper cites Kernel-based conditional independence test and application in causal discovery.

Causal Discovery via Bayesian Optimization Kernel-based conditional independence test and application in causal discovery

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:52:03.741064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 2a7b5638-c2d0-43fc-9f98-a571cd9c8608 · outbound

This paper cites Bayesian active causal discovery with multi-fidelity experiments.

Causal Discovery via Bayesian Optimization Bayesian active causal discovery with multi-fidelity experiments

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:52:03.725205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation bfd5a1b8-b67f-4d04-b873-05ac3c0c3fb6 · outbound

This paper cites Truncated matrix power iteration for differentiable DAG learning.

Causal Discovery via Bayesian Optimization Truncated matrix power iteration for differentiable DAG learning

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:52:03.712048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e76b0173-eafc-4ccf-9ebb-616d735b9af5 · outbound

This paper cites an unresolved cited work.

Causal Discovery via Bayesian Optimization Unresolved cited work

Reference 89

Resolution: unresolved; raw_fallback, observed 2026-08-10T14:52:03.699288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 4d4da55b-8401-42bc-923b-1d87acec51d9 · outbound

This paper cites an unresolved cited work.

Causal Discovery via Bayesian Optimization Unresolved cited work

Reference 90

Resolution: unresolved; raw_fallback, observed 2026-08-10T14:52:03.687333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 496cf272-938d-4772-972d-e46e4ebe0c5b · outbound

This paper cites Causal discovery with reinforcement learning.

Causal Discovery via Bayesian Optimization Causal discovery with reinforcement learning

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:52:03.673983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0a8db155-6109-47aa-a996-7a3da9afbe46 · outbound

This paper cites @esa (Ref.

Causal Discovery via Bayesian Optimization @esa (Ref

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-10T14:52:03.546722Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee6df2a4-8dd0-4de5-b07a-6cfde146d490 · outbound

This paper cites an unresolved cited work.

Causal Discovery via Bayesian Optimization Unresolved cited work

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-10T14:52:03.551339Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e9ed9d5-077b-4e11-a484-b8369dea57e3 · outbound

This paper cites an unresolved cited work.

Causal Discovery via Bayesian Optimization Unresolved cited work

Reference 94

Resolution: unresolved; raw_fallback, observed 2026-08-10T14:52:03.640408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers