On Socially Fair Low-Rank Approximation and Column Subset Selection | Paper Citation Record

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This paper cites Abernethy, Pranjal Awasthi, Matth \" a us Kleindessner, Jamie Morgenstern, Chris Russell, and Jie Zhang.

On Socially Fair Low-Rank Approximation and Column Subset Selection Abernethy, Pranjal Awasthi, Matth \" a us Kleindessner, Jamie Morgenstern, Chris Russell, and Jie Zhang

Reference 1

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This paper cites Fair clustering via equitable group representations.

On Socially Fair Low-Rank Approximation and Column Subset Selection Fair clustering via equitable group representations

Reference 2

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This paper cites Fair regression: Quantitative definitions and reduction-based algorithms.

On Socially Fair Low-Rank Approximation and Column Subset Selection Fair regression: Quantitative definitions and reduction-based algorithms

Reference 3

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This paper cites Fair hierarchical clustering.

On Socially Fair Low-Rank Approximation and Column Subset Selection Fair hierarchical clustering

Reference 4

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This paper cites Fair and fast k-center clustering for data summarization.

On Socially Fair Low-Rank Approximation and Column Subset Selection Fair and fast k-center clustering for data summarization

Reference 5

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This paper cites Fair algorithms for clustering.

On Socially Fair Low-Rank Approximation and Column Subset Selection Fair algorithms for clustering

Reference 6

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This paper cites Woodruff, and Samson Zhou.

On Socially Fair Low-Rank Approximation and Column Subset Selection Woodruff, and Samson Zhou

Reference 7

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This paper cites Gender shades: Intersectional accuracy disparities in commercial gender classification.

On Socially Fair Low-Rank Approximation and Column Subset Selection Gender shades: Intersectional accuracy disparities in commercial gender classification

Reference 8

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This paper cites Inapproximability of some geometric and quadratic optimization problems.

On Socially Fair Low-Rank Approximation and Column Subset Selection Inapproximability of some geometric and quadratic optimization problems

Reference 9

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This paper cites On the cost of essentially fair clusterings.

On Socially Fair Low-Rank Approximation and Column Subset Selection On the cost of essentially fair clusterings

Reference 10

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This paper cites A Convex Framework for Fair Regression.

On Socially Fair Low-Rank Approximation and Column Subset Selection A Convex Framework for Fair Regression

Reference 11

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This paper cites Fairness in criminal justice risk assessments: The state of the art.

On Socially Fair Low-Rank Approximation and Column Subset Selection Fairness in criminal justice risk assessments: The state of the art

Reference 12

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This paper cites Scalable fair clustering.

On Socially Fair Low-Rank Approximation and Column Subset Selection Scalable fair clustering

Reference 13

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This paper cites On the combinatorial and algebraic complexity of quantifier elimination.

On Socially Fair Low-Rank Approximation and Column Subset Selection On the combinatorial and algebraic complexity of quantifier elimination

Reference 14

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This paper cites Big data's disparate impact.

On Socially Fair Low-Rank Approximation and Column Subset Selection Big data's disparate impact

Reference 15

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This paper cites Woodruff, and Qiuyi (Richard) Zhang.

On Socially Fair Low-Rank Approximation and Column Subset Selection Woodruff, and Qiuyi (Richard) Zhang

Reference 16

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This paper cites Woodruff.

On Socially Fair Low-Rank Approximation and Column Subset Selection Woodruff

Reference 17

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This paper cites Cohen, Sam Elder, Cameron Musco, Christopher Musco, and Madalina Persu.

On Socially Fair Low-Rank Approximation and Column Subset Selection Cohen, Sam Elder, Cameron Musco, Christopher Musco, and Madalina Persu

Reference 18

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This paper cites Woodruff.

On Socially Fair Low-Rank Approximation and Column Subset Selection Woodruff

Reference 19

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This paper cites Fair prediction with disparate impact: A study of bias in recidivism prediction instruments.

On Socially Fair Low-Rank Approximation and Column Subset Selection Fair prediction with disparate impact: A study of bias in recidivism prediction instruments

Reference 20

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This paper cites Fair clustering through fairlets.

On Socially Fair Low-Rank Approximation and Column Subset Selection Fair clustering through fairlets

Reference 21

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This paper cites Solving linear programs in the current matrix multiplication time.

On Socially Fair Low-Rank Approximation and Column Subset Selection Solving linear programs in the current matrix multiplication time

Reference 22

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This paper cites Cohen, Cameron Musco, and Christopher Musco.

On Socially Fair Low-Rank Approximation and Column Subset Selection Cohen, Cameron Musco, and Christopher Musco

Reference 23

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This paper cites Approximating fair clustering with cascaded norm objectives.

On Socially Fair Low-Rank Approximation and Column Subset Selection Approximating fair clustering with cascaded norm objectives

Reference 24

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This paper cites Cohen and Richard Peng.

On Socially Fair Low-Rank Approximation and Column Subset Selection Cohen and Richard Peng

Reference 25

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This paper cites Active regression via linear-sample sparsification.

On Socially Fair Low-Rank Approximation and Column Subset Selection Active regression via linear-sample sparsification

Reference 26

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This paper cites Algorithmic decision making and the cost of fairness.

On Socially Fair Low-Rank Approximation and Column Subset Selection Algorithmic decision making and the cost of fairness

Reference 27

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This paper cites Fair Submodular Cover.

On Socially Fair Low-Rank Approximation and Column Subset Selection Fair Submodular Cover

Reference 28

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This paper cites Mahoney, and S.

On Socially Fair Low-Rank Approximation and Column Subset Selection Mahoney, and S

Reference 29

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This paper cites Mahoney, and S.

On Socially Fair Low-Rank Approximation and Column Subset Selection Mahoney, and S

Reference 30

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This paper cites Fair representation clustering with several protected classes.

On Socially Fair Low-Rank Approximation and Column Subset Selection Fair representation clustering with several protected classes

Reference 31

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On Socially Fair Low-Rank Approximation and Column Subset Selection Unresolved cited work

Reference 32

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This paper cites Esmaeili, Brian Brubach, Leonidas Tsepenekas, and John Dickerson.

On Socially Fair Low-Rank Approximation and Column Subset Selection Esmaeili, Brian Brubach, Leonidas Tsepenekas, and John Dickerson

Reference 33

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This paper cites The approximation of one matrix by another of lower rank.

On Socially Fair Low-Rank Approximation and Column Subset Selection The approximation of one matrix by another of lower rank

Reference 34

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On Socially Fair Low-Rank Approximation and Column Subset Selection On the stochastic matrices associated with certain queuing processes

Reference 35

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This paper cites Tight FPT approximation for socially fair clustering.

On Socially Fair Low-Rank Approximation and Column Subset Selection Tight FPT approximation for socially fair clustering

Reference 36

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This paper cites Socially fair k -means clustering.

On Socially Fair Low-Rank Approximation and Column Subset Selection Socially fair k -means clustering

Reference 37

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This paper cites Constant-Factor Approximation Algorithms for Socially Fair $k$-Clustering.

On Socially Fair Low-Rank Approximation and Column Subset Selection Constant-Factor Approximation Algorithms for Socially Fair $k$-Clustering

Reference 38

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This paper cites Solving SDP faster: A robust IPM framework and efficient implementation.

On Socially Fair Low-Rank Approximation and Column Subset Selection Solving SDP faster: A robust IPM framework and efficient implementation

Reference 39

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This paper cites Approximation algorithms for fair range clustering.

On Socially Fair Low-Rank Approximation and Column Subset Selection Approximation algorithms for fair range clustering

Reference 40

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This paper cites Equality of opportunity in supervised learning.

On Socially Fair Low-Rank Approximation and Column Subset Selection Equality of opportunity in supervised learning

Reference 41

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This paper cites On the complexity of k - SAT.

On Socially Fair Low-Rank Approximation and Column Subset Selection On the complexity of k - SAT

Reference 42

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This paper cites A faster interior point method for semidefinite programming.

On Socially Fair Low-Rank Approximation and Column Subset Selection A faster interior point method for semidefinite programming

Reference 43

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Observation 617db602-7e80-4081-bbaf-b8b9f27f86d8 · outbound

This paper cites Service in your neighborhood: Fairness in center location.

On Socially Fair Low-Rank Approximation and Column Subset Selection Service in your neighborhood: Fairness in center location

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:15:03.538499Z

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Observation 810dd105-6647-4e08-a861-cdf4c4379967 · outbound

This paper cites Mahankali, and David P.

On Socially Fair Low-Rank Approximation and Column Subset Selection Mahankali, and David P

Reference 45

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This paper cites Liu, and Aaron Sidford.

On Socially Fair Low-Rank Approximation and Column Subset Selection Liu, and Aaron Sidford

Reference 46

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This paper cites An improved cutting plane method for convex optimization, convex-concave games, and its applications.

On Socially Fair Low-Rank Approximation and Column Subset Selection An improved cutting plane method for convex optimization, convex-concave games, and its applications

Reference 47

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This paper cites Fair k -centers via maximum matching.

On Socially Fair Low-Rank Approximation and Column Subset Selection Fair k -centers via maximum matching

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:15:03.510707Z

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On Socially Fair Low-Rank Approximation and Column Subset Selection Tsigaridas

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:15:03.503901Z

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Observation 992a1fac-2e5a-46ad-9cae-f51a445b6f12 · outbound

This paper cites A faster algorithm for solving general lps.

On Socially Fair Low-Rank Approximation and Column Subset Selection A faster algorithm for solving general lps

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:15:03.496428Z

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Observation 2a2276fd-34a3-4493-88da-08cba6e14214 · outbound

This paper cites Fair k -center clustering for data summarization.

On Socially Fair Low-Rank Approximation and Column Subset Selection Fair k -center clustering for data summarization

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:15:03.489942Z

Source-reported events for the cited work

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This paper cites Efficient fair pca for fair representation learning.

On Socially Fair Low-Rank Approximation and Column Subset Selection Efficient fair pca for fair representation learning

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:15:03.481598Z

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Observation c765892b-5d03-4c3d-94ba-55f6d8da9c64 · outbound

This paper cites Human decisions and machine predictions.

On Socially Fair Low-Rank Approximation and Column Subset Selection Human decisions and machine predictions

Reference 53

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Source-reported events for the cited work

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On Socially Fair Low-Rank Approximation and Column Subset Selection Unresolved cited work

Reference 54

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This paper cites Kleinberg, Sendhil Mullainathan, and Manish Raghavan.

On Socially Fair Low-Rank Approximation and Column Subset Selection Kleinberg, Sendhil Mullainathan, and Manish Raghavan

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:15:03.462264Z

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Observation f3c94b8f-8aea-47a2-9d20-aac60c701afd · outbound

This paper cites Woodruff.

On Socially Fair Low-Rank Approximation and Column Subset Selection Woodruff

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:15:03.455976Z

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

Observation 1d2c1709-9ddc-4464-af2e-27840d8397d0 · outbound

This paper cites Faster algorithms for convex and combinatorial optimization, 2016.

On Socially Fair Low-Rank Approximation and Column Subset Selection Faster algorithms for convex and combinatorial optimization, 2016

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:15:03.448437Z

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 c8eef274-a13f-441c-b9d7-7602e1b791df · outbound

This paper cites Fast and efficient mmd-based fair pca via optimization over stiefel manifold, 2022.

On Socially Fair Low-Rank Approximation and Column Subset Selection Fast and efficient mmd-based fair pca via optimization over stiefel manifold, 2022

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:15:03.440974Z

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 906c44e1-bbb5-4f4e-9d2e-89805a61fe3d · outbound

This paper cites A faster cutting plane method and its implications for combinatorial and convex optimization.

On Socially Fair Low-Rank Approximation and Column Subset Selection A faster cutting plane method and its implications for combinatorial and convex optimization

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:15:03.433995Z

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 a996f1b8-273c-421c-8374-8e84d1e79faa · outbound

This paper cites Row Sampling for Matrix Algorithms via a Non-Commutative Bernstein Bound.

On Socially Fair Low-Rank Approximation and Column Subset Selection Row Sampling for Matrix Algorithms via a Non-Commutative Bernstein Bound

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-11T20:15:03.140200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aabac81b-20e8-4e80-838f-b4829bbccd89 · outbound

This paper cites Meyer, Cameron Musco, Christopher Musco, David P.

On Socially Fair Low-Rank Approximation and Column Subset Selection Meyer, Cameron Musco, Christopher Musco, David P

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:15:03.427263Z

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 0713c20f-3c71-46dc-a817-c57f8904b2ec · outbound

This paper cites Meyer, Cameron Musco, Christopher Musco, David P.

On Socially Fair Low-Rank Approximation and Column Subset Selection Meyer, Cameron Musco, Christopher Musco, David P

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:15:03.420634Z

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 2a90f107-225e-4f26-a525-30530727c915 · outbound

This paper cites Woodruff, and Taisuke Yasuda.

On Socially Fair Low-Rank Approximation and Column Subset Selection Woodruff, and Taisuke Yasuda

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:15:03.413810Z

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 7b825ed8-dfa0-4acd-a17b-7a769b2ba50b · outbound

This paper cites Fair column subset selection.

On Socially Fair Low-Rank Approximation and Column Subset Selection Fair column subset selection

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:15:03.407122Z

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 32eb75ec-779d-4530-a57d-87cfd612e8fb · outbound

This paper cites Individual fairness for k -clustering.

On Socially Fair Low-Rank Approximation and Column Subset Selection Individual fairness for k -clustering

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:15:03.400585Z

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 35234695-7b21-4725-bb04-8b2e6ba435d1 · outbound

This paper cites Approximation algorithms for socially fair clustering.

On Socially Fair Low-Rank Approximation and Column Subset Selection Approximation algorithms for socially fair clustering

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:15:03.394020Z

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 a73e875e-6d1a-4ce0-a2eb-78d8e6f1868d · outbound

This paper cites Better algorithms for individually fair k-clustering.

On Socially Fair Low-Rank Approximation and Column Subset Selection Better algorithms for individually fair k-clustering

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:15:03.387472Z

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 a1017825-e0e1-421f-a6ca-f8ca8ba11c48 · outbound

This paper cites Fair Range k-center.

On Socially Fair Low-Rank Approximation and Column Subset Selection Fair Range k-center

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-11T20:15:03.158601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c5879074-aa9f-4c6b-a174-aa7f19337d91 · outbound

This paper cites Convex formulations for fair principal component analysis, 2019.

On Socially Fair Low-Rank Approximation and Column Subset Selection Convex formulations for fair principal component analysis, 2019

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:15:03.381397Z

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 bccdcb80-e888-4280-b6c7-7a4d98a8afe6 · outbound

This paper cites L_1 regression with lewis weights subsampling.

On Socially Fair Low-Rank Approximation and Column Subset Selection L_1 regression with lewis weights subsampling

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:15:03.375339Z

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 50406b68-4ed0-4b54-b60a-56a091bf4719 · outbound

This paper cites Random version of dvoretzky’s theorem in _p^n.

On Socially Fair Low-Rank Approximation and Column Subset Selection Random version of dvoretzky’s theorem in _p^n

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:15:03.368839Z

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 fd3691a3-db1e-479b-8e9b-1f2ae738a496 · outbound

This paper cites On the computational complexity and geometry of the first-order theory of the reals.

On Socially Fair Low-Rank Approximation and Column Subset Selection On the computational complexity and geometry of the first-order theory of the reals

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:15:03.361742Z

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 bfb362d6-fcb5-4e40-9635-c78f3296aa7e · outbound

This paper cites On the computational complexity and geometry of the first-order theory of the reals.

On Socially Fair Low-Rank Approximation and Column Subset Selection On the computational complexity and geometry of the first-order theory of the reals

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:15:03.354906Z

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 00c1ffc5-c0f8-4feb-8765-86efb4318070 · outbound

This paper cites Privacy preserving clustering with constraints.

On Socially Fair Low-Rank Approximation and Column Subset Selection Privacy preserving clustering with constraints

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:15:03.346978Z

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 d8e8530f-9a79-488b-8234-99b5112262d6 · outbound

This paper cites Razenshteyn, Zhao Song, and David P.

On Socially Fair Low-Rank Approximation and Column Subset Selection Razenshteyn, Zhao Song, and David P

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:15:03.339867Z

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 4b362e2a-ed84-460d-bb05-e357d94f106b · outbound

This paper cites The price of fair pca: One extra dimension.

On Socially Fair Low-Rank Approximation and Column Subset Selection The price of fair pca: One extra dimension

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:15:03.332973Z

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 d7d19626-163c-42e4-a25a-6caf44c356b2 · outbound

This paper cites Woodruff.

On Socially Fair Low-Rank Approximation and Column Subset Selection Woodruff

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:15:03.325879Z

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 9a79fdb6-fcea-437b-ae4a-562e6a13e8b4 · outbound

This paper cites Clustering with fair-center representation: Parameterized approximation algorithms and heuristics.

On Socially Fair Low-Rank Approximation and Column Subset Selection Clustering with fair-center representation: Parameterized approximation algorithms and heuristics

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:15:03.318978Z

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 31a02ae2-d293-4dec-97ea-96553943a9d8 · outbound

This paper cites Multi-criteria dimensionality reduction with applications to fairness.

On Socially Fair Low-Rank Approximation and Column Subset Selection Multi-criteria dimensionality reduction with applications to fairness

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:15:03.311846Z

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 91a6cc58-c7b3-4aa6-b351-6d78a7a2f59a · outbound

This paper cites Woodruff, and Samson Zhou.

On Socially Fair Low-Rank Approximation and Column Subset Selection Woodruff, and Samson Zhou

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:15:03.304169Z

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 0af62042-91f8-4a91-907a-10bcaa50ea2a · outbound

This paper cites Improved approximation algorithms for individually fair clustering.

On Socially Fair Low-Rank Approximation and Column Subset Selection Improved approximation algorithms for individually fair clustering

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:15:03.295549Z

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 bce8a756-afee-40cb-90a6-9c1bbc608bc9 · outbound

This paper cites Woodruff.

On Socially Fair Low-Rank Approximation and Column Subset Selection Woodruff

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:15:03.288796Z

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 d96ea93a-57ec-47fb-9e44-5d5843fd6f4f · outbound

This paper cites Woodruff and Taisuke Yasuda.

On Socially Fair Low-Rank Approximation and Column Subset Selection Woodruff and Taisuke Yasuda

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:15:03.281634Z

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 905b7164-0a82-474b-99f9-77c739a2642c · outbound

This paper cites Woodruff and Taisuke Yasuda.

On Socially Fair Low-Rank Approximation and Column Subset Selection Woodruff and Taisuke Yasuda

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:15:03.274758Z

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 14c154c9-e85f-45da-ad59-bcc7c0b17606 · outbound

This paper cites Default of Credit Card Clients.

On Socially Fair Low-Rank Approximation and Column Subset Selection Default of Credit Card Clients

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-11T20:15:03.201682Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 48302d61-64b0-4937-a2a5-dc02107029a3 · outbound

This paper cites The comparisons of data mining techniques for the predictive accuracy of probability of default of credit card clients.

On Socially Fair Low-Rank Approximation and Column Subset Selection The comparisons of data mining techniques for the predictive accuracy of probability of default of credit card clients

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:15:03.266351Z

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.

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