No. Title Author Year
1 From Big Data Theory to Big Data Practice (Dagstuhl Seminar 23071) Farach-Colton, Martin et al. 2023
2 New Partitioning Techniques and Faster Algorithms for Approximate Interval Scheduling Compton, Spencer et al. 2023
3 Local Access to Random Walks Biswas, Amartya Shankha et al. 2022
4 Massively Parallel Algorithms for Small Subgraph Counting Biswas, Amartya Shankha et al. 2022
5 Sampling Multiple Edges Efficiently Eden, Talya et al. 2021
6 Towards a Decomposition-Optimal Algorithm for Counting and Sampling Arbitrary Motifs in Sublinear Time Biswas, Amartya Shankha et al. 2021
7 Local Access to Huge Random Objects Through Partial Sampling Biswas, Amartya Shankha et al. 2020
8 Monotone Probability Distributions over the Boolean Cube Can Be Learned with Sublinear Samples Rubinfeld, Ronitt et al. 2020
9 Approximating the Noise Sensitivity of a Monotone Boolean Function Rubinfeld, Ronitt et al. 2019
10 Local Computation Algorithms for Spanners Parter, Merav et al. 2018
11 Fractional Set Cover in the Streaming Model Indyk, Piotr et al. 2017
12 Local Computation Algorithms (Invited Talk) Rubinfeld, Ronitt 2017
13 A Local Algorithm for Constructing Spanners in Minor-Free Graphs Levi, Reut et al. 2016
14 Testing Shape Restrictions of Discrete Distributions Canonne, Clément L. et al. 2016
15 Local Algorithms for Sparse Spanning Graphs Levi, Reut et al. 2014
16 08341 Abstracts Collection -- Sublinear Algorithms Czumaj, Artur et al. 2008
17 08341 Executive Summary -- Sublinear Algorithms Czumaj, Artur et al. 2008
18 05291 Abstracts Collection -- Sublinear Algorithms Czumaj, Artur et al. 2006
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