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X
Cohen, Edith
498  Ergebnisse:
Personensuche X
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1

Sampling Big Ideas in Query Optimization:

, In: Proceedings of the 42nd ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems,
Cohen, Edith - p. 361-371 , 2023
Link: https://dl.acm.org/doi/1..
 
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2

Optimal Differentially Private Learning of Thresholds and Q..:

, In: Proceedings of the 55th Annual ACM Symposium on Theory of Computing,
Cohen, Edith ; Lyu, Xin ; Nelson, Jelani.. - p. 472-482 , 2023
Link: https://dl.acm.org/doi/1..
 
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3

Abstract Proceedings of the 2022 ACM SIGMETRICS/IFIP PERFOR..:

Manjunath, D ; Nair, Jayakrishnan ; Carlsson, Niklas.. , 2022
Link: https://dl.acm.org/doi/1..
 
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4

POMACS V6, N1, March 2022 Editorial:

Carlsson, Niklas ; Cohen, Edith ; Robert, Philippe
Proceedings of the ACM on Measurement and Analysis of Computing Systems.  6 (2022)  1 - p. 1-1 , 2022
Link: https://doi.org/10.1145/..
 
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5

POMACS V6, N1, March 2022 Editorial:

Carlsson, Niklas ; Cohen, Edith ; Robert, Philippe
Proceedings of the ACM on Measurement and Analysis of Computing Systems.  6 (2022)  1 - p. 1 ff. , 2022
Link: https://dl.acm.org/doi/1..
 
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6

POMACS V6, N2, June 2022 Editorial:

Carlsson, Niklas ; Cohen, Edith ; Robert, Philippe
Proceedings of the ACM on Measurement and Analysis of Computing Systems.  6 (2022)  2 - p. 1-1 , 2022
Link: https://doi.org/10.1145/..
 
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7

POMACS V5, N3, December 2021 Editorial:

Carlsson, Niklas ; Cohen, Edith ; Robert, Philippe
Proceedings of the ACM on Measurement and Analysis of Computing Systems.  5 (2021)  3 - p. 1-1 , 2021
Link: https://doi.org/10.1145/..
 
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8

Editorial:

Cohen, Edith
ACM Transactions on Algorithms (TALG).  17 (2021)  3 - p. 1 ff. , 2021
Link: https://dl.acm.org/doi/1..
 
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9

Editorial:

Cohen, Edith
ACM Transactions on Algorithms.  17 (2021)  3 - p. 1-1 , 2021
Link: https://doi.org/10.1145/..
 
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10

POMACS V5, N3, December 2021 Editorial:

Carlsson, Niklas ; Cohen, Edith ; Robert, Philippe
Proceedings of the ACM on Measurement and Analysis of Computing Systems.  5 (2021)  3 - p. 1 ff. , 2021
Link: https://dl.acm.org/doi/1..
 
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11

Graph Learning with Loss-Guided Training:

, In: Proceedings of the 3rd Joint International Workshop on Graph Data Management Experiences & Systems (GRADES) and Network Data Analytics (NDA),
Buchnik, Eliav ; Cohen, Edith - p. 1-13 , 2020
Link: https://dl.acm.org/doi/1..
 
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12

Bootstrapped Graph Diffusions: Exposing the Power of Nonlin..:

Buchnik, Eliav ; Cohen, Edith
ACM SIGMETRICS Performance Evaluation Review.  46 (2019)  1 - p. 8-10 , 2019
Link: https://dl.acm.org/doi/1..
 
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13

Proceedings of the 51st Annual ACM SIGACT Symposium on Theo..:

Charikar, Moses ; Cohen, Edith , 2019
Link: https://dl.acm.org/doi/1..
 
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14

Bootstrapped Graph Diffusions: Exposing the Power of Nonlin..:

Buchnik, Eliav ; Cohen, Edith
ACM SIGMETRICS Performance Evaluation Review.  46 (2019)  1 - p. 8-10 , 2019
Link: https://doi.org/10.1145/..
 
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15

Bootstrapped Graph Diffusions: Exposing the Power of Nonlin..:

Eliav, Buchnik ; Cohen, Edith
Proceedings of the ACM on Measurement and Analysis of Computing Systems.  2 (2018)  1 - p. 1-19 , 2018
Link: https://doi.org/10.1145/..
 
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