Jarosław Błasiok

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Preetum NakkiranApple ML ResearchAdresse e-mail validée de cs.harvard.edu
Lunjia HuHarvard UniversityAdresse e-mail validée de seas.harvard.edu
Parikshit GopalanAppleAdresse e-mail validée de apple.com
Jelani NelsonProfessor, EECS, University of California, BerkeleyAdresse e-mail validée de berkeley.edu
Venkatesan GuruswamiUniversity of California, BerkeleyAdresse e-mail validée de berkeley.edu
Madhu SudanGordon McKay Professor of Computer Science, Harvard UniversityAdresse e-mail validée de cs.harvard.edu
Marcin Kamiński4colors ResearchAdresse e-mail validée de mimuw.edu.pl
Yaodong YuUniversity of California, BerkeleyAdresse e-mail validée de berkeley.edu
Bogdan KulynychPostdoc at Lausanne University HospitalAdresse e-mail validée de chuv.ch
Yao-Yuan YangGoogle DeepMindAdresse e-mail validée de deepmind.com
Charalampos E. TsourakakisBoston UniversityAdresse e-mail validée de bu.edu
Kyle LuhUniversity of Colorado BoulderAdresse e-mail validée de colorado.edu
Patrick LopattoUniversity of North Carolina at Chapel HillAdresse e-mail validée de unc.edu
Aleksandar NikolovUniversity of TorontoAdresse e-mail validée de cs.toronto.edu
Mark BunAssistant Professor, Boston UniversityAdresse e-mail validée de bu.edu
Thomas SteinkeGoogle DeepMindAdresse e-mail validée de google.com
Atri RudraKatherine Johnson Chair in AI, Professor, CSE, University at BuffaloAdresse e-mail validée de buffalo.edu
Emanuele ViolaProfessor of Computer Science, Northeastern UniversityAdresse e-mail validée de ccs.neu.edu
Rocco Anthony ServedioDepartment of Computer Science, Columbia UniversityAdresse e-mail validée de columbia.edu
Yaonan JinColumbia UniversityAdresse e-mail validée de columbia.edu

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Jarosław Błasiok

ETH

Adresse e-mail validée de inf.ethz.ch - Page d'accueil

Theory of Computation


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Optimal streaming and tracking distinct elements with high probability J Błasiok ACM Transactions on Algorithms (TALG) 16 (1), 1-28, 2019	48	2019
Towards instance-optimal private query release J Błasiok, M Bun, A Nikolov, T Steinke Proceedings of the Thirtieth Annual ACM-SIAM Symposium on Discrete …, 2019	31	2019
A unifying theory of distance from calibration J Błasiok, P Gopalan, L Hu, P Nakkiran Proceedings of the 55th Annual ACM Symposium on Theory of Computing, 1727-1740, 2023	28	2023
General strong polarization J Błasiok, V Guruswami, P Nakkiran, A Rudra, M Sudan ACM Journal of the ACM (JACM) 69 (2), 1-67, 2022	28	2022
When does optimizing a proper loss yield calibration? J Blasiok, P Gopalan, L Hu, P Nakkiran Advances in Neural Information Processing Systems 36, 2024	25	2024
Streaming symmetric norms via measure concentration J Błasiok, V Braverman, SR Chestnut, R Krauthgamer, LF Yang Proceedings of the 49th Annual ACM SIGACT Symposium on Theory of Computing …, 2017	23	2017
Continuous Monitoring of l_p Norms in Data Streams J Blasiok, J Ding, J Nelson LIPIcs-Leibniz International Proceedings in Informatics 81, 2017	21*	2017
Smooth ECE: Principled Reliability Diagrams via Kernel Smoothing J Błasiok, P Nakkiran arXiv preprint arXiv:2309.12236, 2023	16	2023
An improved lower bound for sparse reconstruction from subsampled Hadamard matrices J Blasiok, P Lopatto, K Luh, J Marcinek, S Rao 2019 IEEE 60th Annual Symposium on Foundations of Computer Science (FOCS …, 2019	15	2019
Polar codes with exponentially small error at finite block length J Błasiok, V Guruswami, M Sudan arXiv preprint arXiv:1810.04298, 2018	15	2018
Predicting positive and negative links with noisy queries: Theory & practice CE Tsourakakis, M Mitzenmacher, KG Larsen, J Błasiok, B Lawson, ... arXiv preprint arXiv:1709.07308, 2017	15	2017
An improved analysis of the ER-SpUD dictionary learning algorithm J Błasiok, J Nelson arXiv preprint arXiv:1602.05719, 2016	12	2016
Induced minors and well-quasi-ordering J Błasiok, M Kamiński, JF Raymond, T Trunck Journal of Combinatorial Theory, Series B 134, 110-142, 2019	11	2019
What you see is what you get: Principled deep learning via distributional generalization B Kulynych, YY Yang, Y Yu, J Błasiok, P Nakkiran Advances in Neural Information Processing Systems 35, 2168-2183, 2022	10	2022
What you see is what you get: Distributional generalization for algorithm design in deep learning B Kulynych, YY Yang, Y Yu, J Błasiok, P Nakkiran arXiv preprint arXiv:2204.03230, 13, 2022	10	2022
Fourier Growth of Structured 𝔽₂-Polynomials and Applications J Błasiok, P Ivanov, Y Jin, CH Lee, RA Servedio, E Viola Approximation, Randomization, and Combinatorial Optimization. Algorithms and …, 2021	10	2021
Loss minimization yields multicalibration for large neural networks J Błasiok, P Gopalan, L Hu, AT Kalai, P Nakkiran arXiv preprint arXiv:2304.09424, 2023	7	2023
Matrix Multiplication and Number On the Forehead Communication J Alman, J Błasiok arXiv preprint arXiv:2302.11476, 2023	6	2023
Chain Minors are FPT J Blasiok, M Kaminski ALGORITHMICA 79 (3), 698-707, 2017	3*	2017
Adagio: Fast data-aware near-isometric linear embeddings J Blasiok, CE Tsourakakis 2016 IEEE 16th International Conference on Data Mining (ICDM), 31-40, 2016	3	2016

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