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Arturs Backurs
Arturs Backurs
Microsoft Research
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Title
Cited by
Cited by
Year
Edit distance cannot be computed in strongly subquadratic time (unless SETH is false)
A Backurs, P Indyk
Proceedings of the forty-seventh annual ACM symposium on Theory of computing …, 2015
4572015
Tight hardness results for LCS and other sequence similarity measures
A Abboud, A Backurs, VV Williams
2015 IEEE 56th Annual Symposium on Foundations of Computer Science, 59-78, 2015
335*2015
Differentially private fine-tuning of language models
D Yu, S Naik, A Backurs, S Gopi, HA Inan, G Kamath, J Kulkarni, YT Lee, ...
arXiv preprint arXiv:2110.06500, 2021
3182021
Scalable fair clustering
A Backurs, P Indyk, K Onak, B Schieber, A Vakilian, T Wagner
International Conference on Machine Learning, 405-413, 2019
2552019
If the current clique algorithms are optimal, so is Valiant's parser
A Abboud, A Backurs, VV Williams
SIAM Journal on Computing 47 (6), 2527-2555, 2018
1442018
Which regular expression patterns are hard to match?
A Backurs, P Indyk
2016 IEEE 57th Annual Symposium on Foundations of Computer Science (FOCS …, 2016
1132016
Space and time efficient kernel density estimation in high dimensions
A Backurs, P Indyk, T Wagner
Advances in neural information processing systems 32, 2019
752019
Scalable nearest neighbor search for optimal transport
A Backurs, Y Dong, P Indyk, I Razenshteyn, T Wagner
International Conference on machine learning, 497-506, 2020
722020
Towards tight approximation bounds for graph diameter and eccentricities
A Backurs, L Roditty, G Segal, VV Williams, N Wein
Proceedings of the 50th Annual ACM SIGACT Symposium on Theory of Computing …, 2018
712018
Unveiling transformers with lego: a synthetic reasoning task
Y Zhang, A Backurs, S Bubeck, R Eldan, S Gunasekar, T Wagner
arXiv preprint arXiv:2206.04301, 2022
692022
Subtree isomorphism revisited
A Abboud, A Backurs, TD Hansen, V Vassilevska Williams, O Zamir
ACM Transactions on Algorithms (TALG) 14 (3), 1-23, 2018
592018
Tight hardness results for maximum weight rectangles
A Backurs, N Dikkala, C Tzamos
arXiv preprint arXiv:1602.05837, 2016
582016
Improving viterbi is hard: Better runtimes imply faster clique algorithms
A Backurs, C Tzamos
International Conference on Machine Learning, 311-321, 2017
542017
On the fine-grained complexity of empirical risk minimization: Kernel methods and neural networks
A Backurs, P Indyk, L Schmidt
Advances in Neural Information Processing Systems 30, 2017
502017
Search by quantum walks on two-dimensional grid without amplitude amplification
A Ambainis, A Bačkurs, N Nahimovs, R Ozols, A Rivosh
Conference on Quantum Computation, Communication, and Cryptography, 87-97, 2012
482012
Fine-grained complexity of analyzing compressed data: Quantifying improvements over decompress-and-solve
A Abboud, A Backurs, K Bringmann, M Künnemann
2017 IEEE 58th Annual Symposium on Foundations of Computer Science (FOCS …, 2017
472017
Exploring the limits of differentially private deep learning with group-wise clipping
J He, X Li, D Yu, H Zhang, J Kulkarni, YT Lee, A Backurs, N Yu, J Bian
arXiv preprint arXiv:2212.01539, 2022
442022
Better approximations for tree sparsity in nearly-linear time
A Backurs, P Indyk, L Schmidt
Proceedings of the Twenty-Eighth Annual ACM-SIAM Symposium on Discrete …, 2017
402017
Towards hardness of approximation for polynomial time problems
A Abboud, A Backurs
8th Innovations in Theoretical Computer Science Conference (ITCS 2017), 2017
392017
Efficient density evaluation for smooth kernels
A Backurs, M Charikar, P Indyk, P Siminelakis
2018 IEEE 59th Annual Symposium on Foundations of Computer Science (FOCS …, 2018
382018
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