Themis Gouleakis

According to our database1, Themis Gouleakis authored at least 31 papers between 2012 and 2023.

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Bibliography

2023
Almost universally optimal distributed Laplacian solvers via low-congestion shortcuts.
Distributed Comput., December, 2023

Secretary and online matching problems with machine learned advice.
Discret. Optim., May, 2023

Active causal structure learning with advice.
Proceedings of the International Conference on Machine Learning, 2023

Learning-Augmented Online TSP on Rings, Trees, Flowers and (Almost) Everywhere Else.
Proceedings of the 31st Annual European Symposium on Algorithms, 2023

Learning-Augmented Algorithms for Online TSP on the Line.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Brief Announcement: Almost Universally Optimal Distributed Laplacian Solver.
Proceedings of the PODC '22: ACM Symposium on Principles of Distributed Computing, Salerno, Italy, July 25, 2022

2021
Accelerated Distributed Laplacian Solvers via Shortcuts.
CoRR, 2021

Learning Augmented Online Facility Location.
CoRR, 2021

Deterministic Distributed Algorithms and Lower Bounds in the Hybrid Model.
Proceedings of the 35th International Symposium on Distributed Computing, 2021

Robust Learning under Strong Noise via SQs.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020
Optimal Testing of Discrete Distributions with High Probability.
Electron. Colloquium Comput. Complex., 2020

Simple Local Computation Algorithms for the General Lovász Local Lemma.
Proceedings of the SPAA '20: 32nd ACM Symposium on Parallelism in Algorithms and Architectures, 2020

2019
Collision-Based Testers are Optimal for Uniformity and Closeness.
Chic. J. Theor. Comput. Sci., 2019

Distribution-Independent PAC Learning of Halfspaces with Massart Noise.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Communication and Memory Efficient Testing of Discrete Distributions.
Proceedings of the Conference on Learning Theory, 2019

Computationally and Statistically Efficient Truncated Regression.
Proceedings of the Conference on Learning Theory, 2019

Towards Testing Monotonicity of Distributions Over General Posets.
Proceedings of the Conference on Learning Theory, 2019

2018
New directions in sublinear algorithms and testing properties of distributions.
PhD thesis, 2018

Sampling Correctors.
SIAM J. Comput., 2018

Testing Shape Restrictions of Discrete Distributions.
Theory Comput. Syst., 2018

Local Computation Algorithms for the Lovász Local Lemma.
CoRR, 2018

Improved Massively Parallel Computation Algorithms for MIS, Matching, and Vertex Cover.
CoRR, 2018

Sublinear-Time Algorithms for Counting Star Subgraphs via Edge Sampling.
Algorithmica, 2018

Improved Massively Parallel Computation Algorithms for MIS, Matching, and Vertex Cover.
Proceedings of the 2018 ACM Symposium on Principles of Distributed Computing, 2018

Efficient Statistics, in High Dimensions, from Truncated Samples.
Proceedings of the 59th IEEE Annual Symposium on Foundations of Computer Science, 2018

Certified Computation from Unreliable Datasets.
Proceedings of the Conference On Learning Theory, 2018

2017
Sample-Optimal Identity Testing with High Probability.
Electron. Colloquium Comput. Complex., 2017

Certified Computation in Crowdsourcing.
CoRR, 2017

Faster Sublinear Algorithms using Conditional Sampling.
Proceedings of the Twenty-Eighth Annual ACM-SIAM Symposium on Discrete Algorithms, 2017

2016
Sublinear-Time Algorithms for Counting Star Subgraphs with Applications to Join Selectivity Estimation.
CoRR, 2016

2012
Algorithmic Improvements of the Lovász Local Lemma via Cluster Expansion .
Proceedings of the IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science, 2012


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