E-LDA: Toward Interpretable LDA Topic Models with Strong Guarantees in Logarithmic Parallel Time | Paper Citation Record

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This paper cites write newline.

E-LDA: Toward Interpretable LDA Topic Models with Strong Guarantees in Logarithmic Parallel Time write newline

Reference 1

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Observation e3c47615-1627-4bee-9ec9-adf3dd8b6fbb · outbound

This paper cites A spectral algorithm for latent dirichlet allocation.

E-LDA: Toward Interpretable LDA Topic Models with Strong Guarantees in Logarithmic Parallel Time A spectral algorithm for latent dirichlet allocation

Reference 2

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Observation 29c2357d-61c4-4c5b-988c-39afbb690787 · outbound

This paper cites Learning topic models--going beyond svd.

E-LDA: Toward Interpretable LDA Topic Models with Strong Guarantees in Logarithmic Parallel Time Learning topic models--going beyond svd

Reference 3

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Observation 0fdd0419-0859-45f6-b819-72ca8001fc1d · outbound

This paper cites A practical algorithm for topic modeling with provable guarantees.

E-LDA: Toward Interpretable LDA Topic Models with Strong Guarantees in Logarithmic Parallel Time A practical algorithm for topic modeling with provable guarantees

Reference 4

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This paper cites Computing a nonnegative matrix factorization---provably.

E-LDA: Toward Interpretable LDA Topic Models with Strong Guarantees in Logarithmic Parallel Time Computing a nonnegative matrix factorization---provably

Reference 5

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This paper cites Provable algorithms for inference in topic models.

E-LDA: Toward Interpretable LDA Topic Models with Strong Guarantees in Logarithmic Parallel Time Provable algorithms for inference in topic models

Reference 6

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This paper cites Learning topic models provably and efficiently.

E-LDA: Toward Interpretable LDA Topic Models with Strong Guarantees in Logarithmic Parallel Time Learning topic models provably and efficiently

Reference 7

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Observation 11be00dc-5715-4b6a-8779-b3ef0681a675 · outbound

This paper cites Text algorithms in economics.

E-LDA: Toward Interpretable LDA Topic Models with Strong Guarantees in Logarithmic Parallel Time Text algorithms in economics

Reference 8

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Observation 3e477dc4-bf2f-4e59-893b-b23164f883c8 · outbound

This paper cites Naive feature selection: Sparsity in naive bayes.

E-LDA: Toward Interpretable LDA Topic Models with Strong Guarantees in Logarithmic Parallel Time Naive feature selection: Sparsity in naive bayes

Reference 9

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Observation fa3bae8c-cb24-40ee-8d29-316c8a5b6f99 · outbound

This paper cites The adaptive complexity of maximizing a submodular function.

E-LDA: Toward Interpretable LDA Topic Models with Strong Guarantees in Logarithmic Parallel Time The adaptive complexity of maximizing a submodular function

Reference 10

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Observation 67d177ce-23a7-4745-97fd-94e549bba4ff · outbound

This paper cites An optimal approximation for submodular maximization under a matroid constraint in the adaptive complexity model.

E-LDA: Toward Interpretable LDA Topic Models with Strong Guarantees in Logarithmic Parallel Time An optimal approximation for submodular maximization under a matroid constraint in the adaptive complexity model

Reference 11

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Observation fa5b2bc0-6dde-4bc9-a4fc-a4cbf236cbd5 · outbound

This paper cites Who leads? who follows? measuring issue attention and agenda setting by legislators and the mass public using social media data.

E-LDA: Toward Interpretable LDA Topic Models with Strong Guarantees in Logarithmic Parallel Time Who leads? who follows? measuring issue attention and agenda setting by legislators and the mass public using social media data

Reference 12

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Observation be79dd15-a58b-4076-ba7d-8b0ae0912402 · outbound

This paper cites Inference for Regression with Variables Generated by AI or Machine Learning.

E-LDA: Toward Interpretable LDA Topic Models with Strong Guarantees in Logarithmic Parallel Time Inference for Regression with Variables Generated by AI or Machine Learning

Reference 13

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Observation 1a8e914c-dd84-41aa-863d-a2ca077a4818 · outbound

This paper cites Revolving door lobbyists.

E-LDA: Toward Interpretable LDA Topic Models with Strong Guarantees in Logarithmic Parallel Time Revolving door lobbyists

Reference 14

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Observation c6d6df55-ae59-449a-8ce1-fcc6e85ad15c · outbound

This paper cites Latent dirichlet allocation.

E-LDA: Toward Interpretable LDA Topic Models with Strong Guarantees in Logarithmic Parallel Time Latent dirichlet allocation

Reference 15

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This paper cites The fast algorithm for submodular maximization.

E-LDA: Toward Interpretable LDA Topic Models with Strong Guarantees in Logarithmic Parallel Time The fast algorithm for submodular maximization

Reference 16

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Observation 11e826fe-2709-4751-a190-9ee3e9a3602c · outbound

This paper cites Business news and business cycles.

E-LDA: Toward Interpretable LDA Topic Models with Strong Guarantees in Logarithmic Parallel Time Business news and business cycles

Reference 17

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Observation def4f4e4-a7e9-465b-9d3a-8e65f9f7a4bb · outbound

This paper cites From pork to policy: The rise of programmatic campaigning in Japanese elections.

E-LDA: Toward Interpretable LDA Topic Models with Strong Guarantees in Logarithmic Parallel Time From pork to policy: The rise of programmatic campaigning in Japanese elections

Reference 18

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Observation 6fd7f383-bcc0-4c2a-9a63-8d1f9d7b1e1f · outbound

This paper cites Reading tea leaves: How humans interpret topic models.

E-LDA: Toward Interpretable LDA Topic Models with Strong Guarantees in Logarithmic Parallel Time Reading tea leaves: How humans interpret topic models

Reference 19

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Observation c198c5e0-ba06-479b-bfb5-ca5692195bfe · outbound

This paper cites Submodular function maximization in parallel via the multilinear relaxation.

E-LDA: Toward Interpretable LDA Topic Models with Strong Guarantees in Logarithmic Parallel Time Submodular function maximization in parallel via the multilinear relaxation

Reference 20

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Observation c2a38049-efcf-418f-905d-543ffe15c0c4 · outbound

This paper cites Marginal likelihood from the gibbs output.

E-LDA: Toward Interpretable LDA Topic Models with Strong Guarantees in Logarithmic Parallel Time Marginal likelihood from the gibbs output

Reference 21

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This paper cites Topic modeling in embedding spaces.

E-LDA: Toward Interpretable LDA Topic Models with Strong Guarantees in Logarithmic Parallel Time Topic modeling in embedding spaces

Reference 22

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Observation 660f08b0-9d8f-4cbc-bdc2-5e7fa508b7f7 · outbound

This paper cites Pitch perfect: Vocal pitch and the emotional intensity of congressional speech.

E-LDA: Toward Interpretable LDA Topic Models with Strong Guarantees in Logarithmic Parallel Time Pitch perfect: Vocal pitch and the emotional intensity of congressional speech

Reference 23

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Observation 533798ae-1c6d-423c-9ec3-01c299214f6e · outbound

This paper cites Persuasion through slanted language: Evidence from the media coverage of immigration.

E-LDA: Toward Interpretable LDA Topic Models with Strong Guarantees in Logarithmic Parallel Time Persuasion through slanted language: Evidence from the media coverage of immigration

Reference 24

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Observation f6c13009-3702-45fe-bb55-986efc673540 · outbound

This paper cites Graph-sparse lda: a topic model with structured sparsity.

E-LDA: Toward Interpretable LDA Topic Models with Strong Guarantees in Logarithmic Parallel Time Graph-sparse lda: a topic model with structured sparsity

Reference 25

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Observation f9b0830d-1026-4cf1-8dae-ad5e898c66ba · outbound

This paper cites How to make causal inferences using texts.

E-LDA: Toward Interpretable LDA Topic Models with Strong Guarantees in Logarithmic Parallel Time How to make causal inferences using texts

Reference 26

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This paper cites Submodular maximization with matroid and packing constraints in parallel.

E-LDA: Toward Interpretable LDA Topic Models with Strong Guarantees in Logarithmic Parallel Time Submodular maximization with matroid and packing constraints in parallel

Reference 27

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Observation 78c80b79-4857-4008-b252-39774a19bddd · outbound

This paper cites Keyword Assisted Topic Models.

E-LDA: Toward Interpretable LDA Topic Models with Strong Guarantees in Logarithmic Parallel Time Keyword Assisted Topic Models

Reference 28

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This paper cites Submodular maximization with optimal approximation, adaptivity and query complexity.

E-LDA: Toward Interpretable LDA Topic Models with Strong Guarantees in Logarithmic Parallel Time Submodular maximization with optimal approximation, adaptivity and query complexity

Reference 29

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This paper cites Causalm: Causal model explanation through counterfactual language models.

E-LDA: Toward Interpretable LDA Topic Models with Strong Guarantees in Logarithmic Parallel Time Causalm: Causal model explanation through counterfactual language models

Reference 30

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Observation 3928f286-e35b-4c9a-bf27-9f7435fca7aa · outbound

This paper cites Causal inference in natural language processing: Estimation, prediction, interpretation and beyond.

E-LDA: Toward Interpretable LDA Topic Models with Strong Guarantees in Logarithmic Parallel Time Causal inference in natural language processing: Estimation, prediction, interpretation and beyond

Reference 31

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This paper cites Discovery of treatments from text corpora.

E-LDA: Toward Interpretable LDA Topic Models with Strong Guarantees in Logarithmic Parallel Time Discovery of treatments from text corpora

Reference 32

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Observation 17d448c9-d5db-4c58-bd4a-d227a33df137 · outbound

This paper cites Causal inference with latent treatments.

E-LDA: Toward Interpretable LDA Topic Models with Strong Guarantees in Logarithmic Parallel Time Causal inference with latent treatments

Reference 33

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Observation d8d22c7e-d797-4cd2-9362-c66d7b2ebb6f · outbound

This paper cites A network approach to topic models.

E-LDA: Toward Interpretable LDA Topic Models with Strong Guarantees in Logarithmic Parallel Time A network approach to topic models

Reference 34

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This paper cites Budgeted nonparametric learning from data streams.

E-LDA: Toward Interpretable LDA Topic Models with Strong Guarantees in Logarithmic Parallel Time Budgeted nonparametric learning from data streams

Reference 35

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Observation 675967ec-2065-4336-88bc-6c18c04a3012 · outbound

This paper cites Finding scientific topics.

E-LDA: Toward Interpretable LDA Topic Models with Strong Guarantees in Logarithmic Parallel Time Finding scientific topics

Reference 36

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Observation 43256a62-3bdf-4ed8-88c5-2163689d3213 · outbound

This paper cites Text as data: A new framework for machine learning and the social sciences.

E-LDA: Toward Interpretable LDA Topic Models with Strong Guarantees in Logarithmic Parallel Time Text as data: A new framework for machine learning and the social sciences

Reference 37

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Observation f0925e9f-eb3a-415c-a00e-5f76d2466aeb · outbound

This paper cites BERTopic: Neural topic modeling with a class-based TF-IDF procedure.

E-LDA: Toward Interpretable LDA Topic Models with Strong Guarantees in Logarithmic Parallel Time BERTopic: Neural topic modeling with a class-based TF-IDF procedure

Reference 38

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This paper cites Near-optimal sensor placements in gaussian processes.

E-LDA: Toward Interpretable LDA Topic Models with Strong Guarantees in Logarithmic Parallel Time Near-optimal sensor placements in gaussian processes

Reference 39

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Observation 79c1c372-6859-47a1-9063-d4b84dc72f11 · outbound

This paper cites Studying the history of ideas using topic models.

E-LDA: Toward Interpretable LDA Topic Models with Strong Guarantees in Logarithmic Parallel Time Studying the history of ideas using topic models

Reference 40

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Observation 4ca92dfc-7a8a-4b4a-b301-5d2f478801f3 · outbound

This paper cites A causal lens for controllable text generation.

E-LDA: Toward Interpretable LDA Topic Models with Strong Guarantees in Logarithmic Parallel Time A causal lens for controllable text generation

Reference 41

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This paper cites A memoization framework for scaling submodular optimization to large scale problems.

E-LDA: Toward Interpretable LDA Topic Models with Strong Guarantees in Logarithmic Parallel Time A memoization framework for scaling submodular optimization to large scale problems

Reference 42

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Observation dddc663d-11c8-44ff-b327-117d833d7613 · outbound

This paper cites Recent advances in text analysis.

E-LDA: Toward Interpretable LDA Topic Models with Strong Guarantees in Logarithmic Parallel Time Recent advances in text analysis

Reference 43

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Observation 1e7302ba-d6eb-41ea-97e0-92e4de238da8 · outbound

This paper cites Scalable greedy feature selection via weak submodularity.

E-LDA: Toward Interpretable LDA Topic Models with Strong Guarantees in Logarithmic Parallel Time Scalable greedy feature selection via weak submodularity

Reference 44

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Observation 91b951eb-21a0-4da0-b087-0500615aa4ea · outbound

This paper cites Newsweeder: Learning to filter netnews.

E-LDA: Toward Interpretable LDA Topic Models with Strong Guarantees in Logarithmic Parallel Time Newsweeder: Learning to filter netnews

Reference 45

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Observation e4fc7246-2be1-4090-a0ae-e544b9461c5e · outbound

This paper cites Machine reading tea leaves: Automatically evaluating topic coherence and topic model quality.

E-LDA: Toward Interpretable LDA Topic Models with Strong Guarantees in Logarithmic Parallel Time Machine reading tea leaves: Automatically evaluating topic coherence and topic model quality

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:25:22.163392Z

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Observation 6aaffa5f-f75d-4b65-a3f1-0ed60e08ff5f · outbound

This paper cites Scaling politically meaningful dimensions using texts and votes.

E-LDA: Toward Interpretable LDA Topic Models with Strong Guarantees in Logarithmic Parallel Time Scaling politically meaningful dimensions using texts and votes

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:25:22.144645Z

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Observation ee7079b6-25b8-44a6-92e5-6e1bbeb5d50c · outbound

This paper cites Reuters-21578 text categorization test collection.

E-LDA: Toward Interpretable LDA Topic Models with Strong Guarantees in Logarithmic Parallel Time Reuters-21578 text categorization test collection

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:25:22.129812Z

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Observation 099af9a6-24cc-4bb6-8cba-fffa37d2c997 · outbound

This paper cites Pachinko allocation: Dag-structured mixture models of topic correlations.

E-LDA: Toward Interpretable LDA Topic Models with Strong Guarantees in Logarithmic Parallel Time Pachinko allocation: Dag-structured mixture models of topic correlations

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:25:22.113974Z

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Observation 9b17c8d9-49ab-4f44-a77b-eaba64373df6 · outbound

This paper cites A class of submodular functions for document summarization.

E-LDA: Toward Interpretable LDA Topic Models with Strong Guarantees in Logarithmic Parallel Time A class of submodular functions for document summarization

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:25:22.098244Z

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Observation b9a47ad8-1b83-48a4-bc3e-38b3eb78e77e · outbound

This paper cites Leveraging sparsity for efficient submodular data summarization.

E-LDA: Toward Interpretable LDA Topic Models with Strong Guarantees in Logarithmic Parallel Time Leveraging sparsity for efficient submodular data summarization

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:25:22.081946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8f8e498f-dd5c-427b-800e-074056e11469 · outbound

This paper cites The mythos of model interpretability: In machine learning, the concept of interpretability is both important and slippery.

E-LDA: Toward Interpretable LDA Topic Models with Strong Guarantees in Logarithmic Parallel Time The mythos of model interpretability: In machine learning, the concept of interpretability is both important and slippery

Reference 52

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This paper cites Entropy-rate clustering: Cluster analysis via maximizing a submodular function subject to a matroid constraint.

E-LDA: Toward Interpretable LDA Topic Models with Strong Guarantees in Logarithmic Parallel Time Entropy-rate clustering: Cluster analysis via maximizing a submodular function subject to a matroid constraint

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:25:22.052983Z

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Observation dfbed58f-a377-4d06-8fef-0bc9767ca5f8 · outbound

This paper cites Artificial intelligence act.

E-LDA: Toward Interpretable LDA Topic Models with Strong Guarantees in Logarithmic Parallel Time Artificial intelligence act

Reference 54

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Observation bef40a68-497f-46dd-bad0-72671dfa8c4d · outbound

This paper cites Local news and national politics.

E-LDA: Toward Interpretable LDA Topic Models with Strong Guarantees in Logarithmic Parallel Time Local news and national politics

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:25:22.021374Z

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Observation 5165a747-decd-412d-914a-edc0c7eae997 · outbound

This paper cites Mallet: A machine learning for languagetoolkit.

E-LDA: Toward Interpretable LDA Topic Models with Strong Guarantees in Logarithmic Parallel Time Mallet: A machine learning for languagetoolkit

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:25:22.004798Z

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Observation d413c33f-f72e-4b9c-a831-9109b5e14340 · outbound

This paper cites Optimizing semantic coherence in topic models.

E-LDA: Toward Interpretable LDA Topic Models with Strong Guarantees in Logarithmic Parallel Time Optimizing semantic coherence in topic models

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:25:21.987567Z

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This paper cites Accelerated greedy algorithms for maximizing submodular set functions.

E-LDA: Toward Interpretable LDA Topic Models with Strong Guarantees in Logarithmic Parallel Time Accelerated greedy algorithms for maximizing submodular set functions

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:25:21.971318Z

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Observation 6a47840b-0875-4087-9e83-ca7f3b5301c1 · outbound

This paper cites Distributed submodular maximization: Identifying representative elements in massive data.

E-LDA: Toward Interpretable LDA Topic Models with Strong Guarantees in Logarithmic Parallel Time Distributed submodular maximization: Identifying representative elements in massive data

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:25:21.956499Z

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Observation 94ecd771-8bc4-4a94-90c0-f4e03ed845b4 · outbound

This paper cites Lazier than lazy greedy.

E-LDA: Toward Interpretable LDA Topic Models with Strong Guarantees in Logarithmic Parallel Time Lazier than lazy greedy

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:25:21.941217Z

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Observation c1288cb1-e4f7-4041-8869-21f1d1cea471 · outbound

This paper cites Fast constrained submodular maximization: Personalized data summarization.

E-LDA: Toward Interpretable LDA Topic Models with Strong Guarantees in Logarithmic Parallel Time Fast constrained submodular maximization: Personalized data summarization

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:25:21.925732Z

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Observation 6161049f-fd2a-4838-b922-9baf113e01fe · outbound

This paper cites Causal Inference on Outcomes Learned from Text.

E-LDA: Toward Interpretable LDA Topic Models with Strong Guarantees in Logarithmic Parallel Time Causal Inference on Outcomes Learned from Text

Reference 62

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This paper cites Reading between the lines: Prediction of political violence using newspaper text.

E-LDA: Toward Interpretable LDA Topic Models with Strong Guarantees in Logarithmic Parallel Time Reading between the lines: Prediction of political violence using newspaper text

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:25:21.908673Z

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This paper cites Best algorithms for approximating the maximum of a submodular set function.

E-LDA: Toward Interpretable LDA Topic Models with Strong Guarantees in Logarithmic Parallel Time Best algorithms for approximating the maximum of a submodular set function

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:25:21.893770Z

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Observation add8d94e-c0c6-41aa-b56f-4d500496174a · outbound

This paper cites An analysis of approximations for maximizing submodular set functions—i.

E-LDA: Toward Interpretable LDA Topic Models with Strong Guarantees in Logarithmic Parallel Time An analysis of approximations for maximizing submodular set functions—i

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:25:21.877949Z

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This paper cites Approximate bayesian inference with the weighted likelihood bootstrap.

E-LDA: Toward Interpretable LDA Topic Models with Strong Guarantees in Logarithmic Parallel Time Approximate bayesian inference with the weighted likelihood bootstrap

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:25:21.858160Z

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Observation c4d5130c-bfcc-4f7e-8eb3-b0b1661b41da · outbound

This paper cites Concealing corruption: How chinese officials distort upward reporting of online grievances.

E-LDA: Toward Interpretable LDA Topic Models with Strong Guarantees in Logarithmic Parallel Time Concealing corruption: How chinese officials distort upward reporting of online grievances

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:25:21.841971Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 6c3b3407-8a8f-4a82-a43b-310177407acb · outbound

This paper cites Causality.

E-LDA: Toward Interpretable LDA Topic Models with Strong Guarantees in Logarithmic Parallel Time Causality

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-07T10:25:21.318729Z

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Observation e9364907-6fc0-4c78-9d79-207316b3a485 · outbound

This paper cites On the unreasonable effectiveness of the greedy algorithm: Greedy adapts to sharpness.

E-LDA: Toward Interpretable LDA Topic Models with Strong Guarantees in Logarithmic Parallel Time On the unreasonable effectiveness of the greedy algorithm: Greedy adapts to sharpness

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:25:21.815650Z

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This paper cites Fast parallel algorithms for statistical subset selection problems.

E-LDA: Toward Interpretable LDA Topic Models with Strong Guarantees in Logarithmic Parallel Time Fast parallel algorithms for statistical subset selection problems

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:25:21.800178Z

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Observation e758e3c9-3d3e-44ef-94a6-d42c408b8dac · outbound

This paper cites Exploring the space of topic coherence measures.

E-LDA: Toward Interpretable LDA Topic Models with Strong Guarantees in Logarithmic Parallel Time Exploring the space of topic coherence measures

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:25:21.784571Z

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This paper cites Estimating causal effects of treatments in randomized and nonrandomized studies.

E-LDA: Toward Interpretable LDA Topic Models with Strong Guarantees in Logarithmic Parallel Time Estimating causal effects of treatments in randomized and nonrandomized studies

Reference 72

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This paper cites Randomization analysis of experimental data: The fisher randomization test comment.

E-LDA: Toward Interpretable LDA Topic Models with Strong Guarantees in Logarithmic Parallel Time Randomization analysis of experimental data: The fisher randomization test comment

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-07T10:25:21.340897Z

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This paper cites Complexity of inference in latent dirichlet allocation.

E-LDA: Toward Interpretable LDA Topic Models with Strong Guarantees in Logarithmic Parallel Time Complexity of inference in latent dirichlet allocation

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:25:21.744562Z

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Observation 35ed5d69-0e9d-4a7d-8485-bb63ad387d70 · outbound

This paper cites Autoencoding Variational Inference For Topic Models.

E-LDA: Toward Interpretable LDA Topic Models with Strong Guarantees in Logarithmic Parallel Time Autoencoding Variational Inference For Topic Models

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-07T10:25:21.350193Z

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E-LDA: Toward Interpretable LDA Topic Models with Strong Guarantees in Logarithmic Parallel Time Unresolved cited work

Reference 76

Resolution: unresolved; raw_fallback, observed 2026-08-07T10:25:21.728123Z

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Observation db33f876-fe73-4a5b-bcce-98d78da4ae92 · outbound

This paper cites Get out the vote: determining support or opposition from congressional floor-debate transcripts.

E-LDA: Toward Interpretable LDA Topic Models with Strong Guarantees in Logarithmic Parallel Time Get out the vote: determining support or opposition from congressional floor-debate transcripts

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:25:21.712990Z

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Observation 02653d06-408c-48b1-902f-497bf8bb8e23 · outbound

This paper cites Rising power on the mind.

E-LDA: Toward Interpretable LDA Topic Models with Strong Guarantees in Logarithmic Parallel Time Rising power on the mind

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:25:21.696353Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 733946b9-61a3-4895-b4c7-ae9dac28d480 · outbound

This paper cites Adapting text embeddings for causal inference.

E-LDA: Toward Interpretable LDA Topic Models with Strong Guarantees in Logarithmic Parallel Time Adapting text embeddings for causal inference

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:25:21.680407Z

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Observation e03c5d8d-9fa4-483b-aa0c-54e97f13f072 · outbound

This paper cites Rethinking lda: Why priors matter.

E-LDA: Toward Interpretable LDA Topic Models with Strong Guarantees in Logarithmic Parallel Time Rethinking lda: Why priors matter

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:25:21.662495Z

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Observation c9507b90-b954-4611-9b63-2bb860ee5737 · outbound

This paper cites Evaluation methods for topic models.

E-LDA: Toward Interpretable LDA Topic Models with Strong Guarantees in Logarithmic Parallel Time Evaluation methods for topic models

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:25:21.642612Z

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Observation d282e565-f041-4cb0-a0d9-110f05d50839 · outbound

This paper cites Structured topic models for language.

E-LDA: Toward Interpretable LDA Topic Models with Strong Guarantees in Logarithmic Parallel Time Structured topic models for language

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:25:21.626179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 2f3918d8-01a5-4ab6-a28b-ab31c3217aa5 · outbound

This paper cites Effective neural topic modeling with embedding clustering regularization.

E-LDA: Toward Interpretable LDA Topic Models with Strong Guarantees in Logarithmic Parallel Time Effective neural topic modeling with embedding clustering regularization

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:25:21.609609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d93f3393-e557-4aca-aba3-7a1e05be9494 · outbound

This paper cites A survey on neural topic models: methods, applications, and challenges.

E-LDA: Toward Interpretable LDA Topic Models with Strong Guarantees in Logarithmic Parallel Time A survey on neural topic models: methods, applications, and challenges

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:25:21.594248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation cc918d1f-9386-4446-b255-1c90584e0471 · outbound

This paper cites Fastopic: Pretrained transformer is a fast, adaptive, stable, and transferable topic model.

E-LDA: Toward Interpretable LDA Topic Models with Strong Guarantees in Logarithmic Parallel Time Fastopic: Pretrained transformer is a fast, adaptive, stable, and transferable topic model

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:25:21.577984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e86b010e-9673-418f-b9db-dbc257b0752d · outbound

This paper cites Towards the topmost: A topic modeling system toolkit.

E-LDA: Toward Interpretable LDA Topic Models with Strong Guarantees in Logarithmic Parallel Time Towards the topmost: A topic modeling system toolkit

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:25:21.561737Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 79b1c407-0eb0-42a2-891b-7899bb5b1c3b · outbound

This paper cites Topics, concepts, and measurement: A crowdsourced procedure for validating topics as measures.

E-LDA: Toward Interpretable LDA Topic Models with Strong Guarantees in Logarithmic Parallel Time Topics, concepts, and measurement: A crowdsourced procedure for validating topics as measures

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:25:21.544106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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