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Themis Gouleakis
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2020 – today
- 2024
- [c23]Davin Choo, Themistoklis Gouleakis, Chun Kai Ling, Arnab Bhattacharyya:
Online bipartite matching with imperfect advice. ICML 2024 - [i27]Davin Choo, Themis Gouleakis, Chun Kai Ling, Arnab Bhattacharyya:
Online bipartite matching with imperfect advice. CoRR abs/2405.09784 (2024) - 2023
- [j6]Ioannis Anagnostides, Christoph Lenzen, Bernhard Haeupler, Goran Zuzic, Themis Gouleakis:
Almost universally optimal distributed Laplacian solvers via low-congestion shortcuts. Distributed Comput. 36(4): 475-499 (2023) - [j5]Antonios Antoniadis, Themis Gouleakis, Pieter Kleer, Pavel Kolev:
Secretary and online matching problems with machine learned advice. Discret. Optim. 48(Part 2): 100778 (2023) - [c22]Themistoklis Gouleakis, Konstantinos Lakis, Golnoosh Shahkarami:
Learning-Augmented Algorithms for Online TSP on the Line. AAAI 2023: 11989-11996 - [c21]Evripidis Bampis, Bruno Escoffier, Themis Gouleakis, Niklas Hahn, Kostas Lakis, Golnoosh Shahkarami, Michalis Xefteris:
Learning-Augmented Online TSP on Rings, Trees, Flowers and (Almost) Everywhere Else. ESA 2023: 12:1-12:17 - [c20]Davin Choo, Themistoklis Gouleakis, Arnab Bhattacharyya:
Active causal structure learning with advice. ICML 2023: 5838-5867 - [i26]Evripidis Bampis, Bruno Escoffier, Themis Gouleakis, Niklas Hahn, Kostas Lakis, Golnoosh Shahkarami, Michalis Xefteris:
Learning-Augmented Online TSP on Rings, Trees, Flowers and (almost) Everywhere Else. CoRR abs/2305.02169 (2023) - [i25]Davin Choo, Themis Gouleakis, Arnab Bhattacharyya:
Active causal structure learning with advice. CoRR abs/2305.19588 (2023) - 2022
- [c19]Ioannis Anagnostides, Christoph Lenzen, Bernhard Haeupler, Goran Zuzic, Themis Gouleakis:
Brief Announcement: Almost Universally Optimal Distributed Laplacian Solver. PODC 2022: 372-374 - [c18]Ioannis Anagnostides, Christoph Lenzen, Bernhard Haeupler, Goran Zuzic, Themis Gouleakis:
Almost Universally Optimal Distributed Laplacian Solvers via Low-Congestion Shortcuts. DISC 2022: 6:1-6:20 - [i24]Themis Gouleakis, Konstantinos Lakis, Golnoosh Shahkarami:
Learning-Augmented Algorithms for Online TSP on the Line. CoRR abs/2206.00655 (2022) - 2021
- [c17]Ioannis Anagnostides, Themis Gouleakis, Ali Marashian:
Robust Learning under Strong Noise via SQs. AISTATS 2021: 3808-3816 - [c16]Ilias Diakonikolas, Themis Gouleakis, Daniel M. Kane, John Peebles, Eric Price:
Optimal testing of discrete distributions with high probability. STOC 2021: 542-555 - [c15]Ioannis Anagnostides, Themis Gouleakis:
Deterministic Distributed Algorithms and Lower Bounds in the Hybrid Model. DISC 2021: 5:1-5:19 - [i23]Dimitris Fotakis, Evangelia Gergatsouli, Themis Gouleakis, Nikolas Patris:
Learning Augmented Online Facility Location. CoRR abs/2107.08277 (2021) - [i22]Ioannis Anagnostides, Themis Gouleakis:
Deterministic Distributed Algorithms and Lower Bounds in the Hybrid Model. CoRR abs/2108.01740 (2021) - [i21]Ioannis Anagnostides, Themis Gouleakis, Christoph Lenzen:
Accelerated Distributed Laplacian Solvers via Shortcuts. CoRR abs/2109.05151 (2021) - 2020
- [c14]Antonios Antoniadis, Themis Gouleakis, Pieter Kleer, Pavel Kolev:
Secretary and Online Matching Problems with Machine Learned Advice. NeurIPS 2020 - [c13]Dimitris Achlioptas, Themis Gouleakis, Fotis Iliopoulos:
Simple Local Computation Algorithms for the General Lovász Local Lemma. SPAA 2020: 1-10 - [i20]Antonios Antoniadis, Themis Gouleakis, Pieter Kleer, Pavel Kolev:
Secretary and Online Matching Problems with Machine Learned Advice. CoRR abs/2006.01026 (2020) - [i19]Ilias Diakonikolas, Themis Gouleakis, Daniel M. Kane, John Peebles, Eric Price:
Optimal Testing of Discrete Distributions with High Probability. CoRR abs/2009.06540 (2020) - [i18]Ioannis Anagnostides, Themis Gouleakis, Ali Marashian:
Robust Learning under Strong Noise via SQs. CoRR abs/2010.09106 (2020) - [i17]Constantinos Daskalakis, Themis Gouleakis, Christos Tzamos, Manolis Zampetakis:
Computationally and Statistically Efficient Truncated Regression. CoRR abs/2010.12000 (2020) - [i16]Ilias Diakonikolas, Themis Gouleakis, Daniel Kane, John Peebles, Eric Price:
Optimal Testing of Discrete Distributions with High Probability. Electron. Colloquium Comput. Complex. TR20 (2020)
2010 – 2019
- 2019
- [j4]Ilias Diakonikolas, Themis Gouleakis, John Peebles, Eric Price:
Collision-Based Testers are Optimal for Uniformity and Closeness. Chic. J. Theor. Comput. Sci. 2019 (2019) - [c12]Maryam Aliakbarpour, Themis Gouleakis, John Peebles, Ronitt Rubinfeld, Anak Yodpinyanee:
Towards Testing Monotonicity of Distributions Over General Posets. COLT 2019: 34-82 - [c11]Constantinos Daskalakis, Themis Gouleakis, Christos Tzamos, Manolis Zampetakis:
Computationally and Statistically Efficient Truncated Regression. COLT 2019: 955-960 - [c10]Ilias Diakonikolas, Themis Gouleakis, Daniel M. Kane, Sankeerth Rao:
Communication and Memory Efficient Testing of Discrete Distributions. COLT 2019: 1070-1106 - [c9]Ilias Diakonikolas, Themis Gouleakis, Christos Tzamos:
Distribution-Independent PAC Learning of Halfspaces with Massart Noise. NeurIPS 2019: 4751-4762 - [i15]Ilias Diakonikolas, Themis Gouleakis, Daniel M. Kane, Sankeerth Rao:
Communication and Memory Efficient Testing of Discrete Distributions. CoRR abs/1906.04709 (2019) - [i14]Ilias Diakonikolas, Themis Gouleakis, Christos Tzamos:
Distribution-Independent PAC Learning of Halfspaces with Massart Noise. CoRR abs/1906.10075 (2019) - [i13]Maryam Aliakbarpour, Themis Gouleakis, John Peebles, Ronitt Rubinfeld, Anak Yodpinyanee:
Towards Testing Monotonicity of Distributions Over General Posets. CoRR abs/1907.03182 (2019) - 2018
- [b1]Themistoklis Gouleakis:
New directions in sublinear algorithms and testing properties of distributions. Massachusetts Institute of Technology, Cambridge, USA, 2018 - [j3]Maryam Aliakbarpour, Amartya Shankha Biswas, Themis Gouleakis, John Peebles, Ronitt Rubinfeld, Anak Yodpinyanee:
Sublinear-Time Algorithms for Counting Star Subgraphs via Edge Sampling. Algorithmica 80(2): 668-697 (2018) - [j2]Clément L. Canonne, Ilias Diakonikolas, Themis Gouleakis, Ronitt Rubinfeld:
Testing Shape Restrictions of Discrete Distributions. Theory Comput. Syst. 62(1): 4-62 (2018) - [j1]Clément L. Canonne, Themis Gouleakis, Ronitt Rubinfeld:
Sampling Correctors. SIAM J. Comput. 47(4): 1373-1423 (2018) - [c8]Themis Gouleakis, Christos Tzamos, Manolis Zampetakis:
Certified Computation from Unreliable Datasets. COLT 2018: 3271-3294 - [c7]Constantinos Daskalakis, Themis Gouleakis, Christos Tzamos, Manolis Zampetakis:
Efficient Statistics, in High Dimensions, from Truncated Samples. FOCS 2018: 639-649 - [c6]Ilias Diakonikolas, Themis Gouleakis, John Peebles, Eric Price:
Sample-Optimal Identity Testing with High Probability. ICALP 2018: 41:1-41:14 - [c5]Mohsen Ghaffari, Themis Gouleakis, Christian Konrad, Slobodan Mitrovic, Ronitt Rubinfeld:
Improved Massively Parallel Computation Algorithms for MIS, Matching, and Vertex Cover. PODC 2018: 129-138 - [i12]Mohsen Ghaffari, Themis Gouleakis, Slobodan Mitrovic, Ronitt Rubinfeld:
Improved Massively Parallel Computation Algorithms for MIS, Matching, and Vertex Cover. CoRR abs/1802.08237 (2018) - [i11]Constantinos Daskalakis, Themis Gouleakis, Christos Tzamos, Manolis Zampetakis:
Efficient Statistics, in High Dimensions, from Truncated Samples. CoRR abs/1809.03986 (2018) - [i10]Dimitris Achlioptas, Themis Gouleakis, Fotis Iliopoulos:
Local Computation Algorithms for the Lovász Local Lemma. CoRR abs/1809.07910 (2018) - 2017
- [c4]Themistoklis Gouleakis, Christos Tzamos, Manolis Zampetakis:
Faster Sublinear Algorithms using Conditional Sampling. SODA 2017: 1743-1757 - [i9]Ilias Diakonikolas, Themis Gouleakis, John Peebles, Eric Price:
Sample-Optimal Identity Testing with High Probability. CoRR abs/1708.02728 (2017) - [i8]Themis Gouleakis, Christos Tzamos, Manolis Zampetakis:
Certified Computation in Crowdsourcing. CoRR abs/1709.03926 (2017) - [i7]Ilias Diakonikolas, Themis Gouleakis, John Peebles, Eric Price:
Sample-Optimal Identity Testing with High Probability. Electron. Colloquium Comput. Complex. TR17 (2017) - 2016
- [c3]Clément L. Canonne, Themis Gouleakis, Ronitt Rubinfeld:
Sampling Correctors. ITCS 2016: 93-102 - [c2]Clément L. Canonne, Ilias Diakonikolas, Themis Gouleakis, Ronitt Rubinfeld:
Testing Shape Restrictions of Discrete Distributions. STACS 2016: 25:1-25:14 - [i6]Maryam Aliakbarpour, Amartya Shankha Biswas, Themistoklis Gouleakis, John Peebles, Ronitt Rubinfeld, Anak Yodpinyanee:
Sublinear-Time Algorithms for Counting Star Subgraphs with Applications to Join Selectivity Estimation. CoRR abs/1601.04233 (2016) - [i5]Themistoklis Gouleakis, Christos Tzamos, Manolis Zampetakis:
Faster Sublinear Algorithms using Conditional Sampling. CoRR abs/1608.04759 (2016) - [i4]Ilias Diakonikolas, Themis Gouleakis, John Peebles, Eric Price:
Collision-based Testers are Optimal for Uniformity and Closeness. CoRR abs/1611.03579 (2016) - [i3]Ilias Diakonikolas, Themis Gouleakis, John Peebles, Eric Price:
Collision-based Testers are Optimal for Uniformity and Closeness. Electron. Colloquium Comput. Complex. TR16 (2016) - 2015
- [i2]Clément L. Canonne, Themis Gouleakis, Ronitt Rubinfeld:
Sampling Correctors. CoRR abs/1504.06544 (2015) - [i1]Clément L. Canonne, Ilias Diakonikolas, Themis Gouleakis, Ronitt Rubinfeld:
Testing Shape Restrictions of Discrete Distributions. CoRR abs/1507.03558 (2015) - 2012
- [c1]Dimitris Achlioptas, Themis Gouleakis:
Algorithmic Improvements of the Lovász Local Lemma via Cluster Expansion . FSTTCS 2012: 16-23
Coauthor Index
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last updated on 2024-09-04 00:31 CEST by the dblp team
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