Max Hopkins

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Shachar LovettAssociate Professor of Computer Science, University of California San DiegoPotvrđena adresa e-pošte na eng.ucsd.edu
Daniel KaneUniversity of California, San DiegoPotvrđena adresa e-pošte na ucsd.edu
Gaurav MahajanPostdoctoral Associate, Yale UniversityPotvrđena adresa e-pošte na yale.edu
Mitali BafnaHarvard UniversityPotvrđena adresa e-pošte na g.harvard.edu
Sebastian Wagner-CarenaFaculty Fellow, NYU and Flatiron Research Fellow, Simons FoundationPotvrđena adresa e-pošte na simonsfoundation.org
Sihan LiuUniversity of California San DiegoPotvrđena adresa e-pošte na ucsd.edu
Russell ImpagliazzoUCSDPotvrđena adresa e-pošte na ucsd.edu
Ting-Chun LinUniversity of California San DiegoPotvrđena adresa e-pošte na ucsd.edu
Hantao YuColumbia UniversityPotvrđena adresa e-pošte na columbia.edu
Michael MitzenmacherProfessor of Computer Science, Harvard UniversityPotvrđena adresa e-pošte na eecs.harvard.edu
Zander KelleyStudent, University of Illinois at Urbana-ChampaignPotvrđena adresa e-pošte na illinois.edu
Marco GaboardiBoston UniversityPotvrđena adresa e-pošte na bu.edu
Satchit SivakumarBoston UniversityPotvrđena adresa e-pošte na bu.edu
Omri Ben-EliezerTechnion - Israel Institute of TechnologyPotvrđena adresa e-pošte na cs.technion.ac.il
Akash KumarPhD student at University of California San DiegoPotvrđena adresa e-pošte na ucsd.edu
Daniel BeagleholePhD Student, UCSDPotvrđena adresa e-pošte na ucsd.edu
Robi BhattacharjeePhd Student, University of California, San DiegoPotvrđena adresa e-pošte na eng.ucsd.edu
Cora DvorkinProfessor, Harvard UniversityPotvrđena adresa e-pošte na g.harvard.edu
Kamalika ChaudhuriUCSD, MetaPotvrđena adresa e-pošte na ucsd.edu
Mark BunAssistant Professor, Boston UniversityPotvrđena adresa e-pošte na bu.edu

Prati

Max Hopkins

Princeton University

Potvrđena adresa e-pošte na princeton.edu - Početna stranica

Boolean Function Analysis Combinatorics Learning Theory


Naslov Poredaj po navodima Poredaj po godini Poredaj po naslovu	Citirano Citirano	Godina
Stability is stable: Connections between replicability, privacy, and adaptive generalization M Bun, M Gaboardi, M Hopkins, R Impagliazzo, R Lei, T Pitassi, ... Proceedings of the 55th Annual ACM Symposium on Theory of Computing, 520-527, 2023	37*	2023
Realizable learning is all you need M Hopkins, DM Kane, S Lovett, G Mahajan Conference on Learning Theory, 3015-3069, 2022	30	2022
High dimensional expanders: Eigenstripping, pseudorandomness, and unique games M Bafna, M Hopkins, T Kaufman, S Lovett Proceedings of the 2022 Annual ACM-SIAM Symposium on Discrete Algorithms …, 2022	28*	2022
Noise-tolerant, reliable active classification with comparison queries M Hopkins, D Kane, S Lovett, G Mahajan Conference on Learning Theory, 1957-2006, 2020	27	2020
Explicit lower bounds against ω (n)-rounds of sum-of-squares M Hopkins, TC Lin 2022 IEEE 63rd Annual Symposium on Foundations of Computer Science (FOCS …, 2022	26*	2022
Hypercontractivity on high dimensional expanders M Bafna, M Hopkins, T Kaufman, S Lovett Proceedings of the 54th Annual ACM SIGACT Symposium on Theory of Computing …, 2022	23*	2022
The power of comparisons for actively learning linear classifiers M Hopkins, D Kane, S Lovett Advances in Neural Information Processing Systems 33, 6342-6353, 2020	23	2020
Point location and active learning: Learning halfspaces almost optimally M Hopkins, D Kane, S Lovett, G Mahajan 2020 IEEE 61st Annual Symposium on Foundations of Computer Science (FOCS …, 2020	21	2020
Simulated annealing for jpeg quantization M Hopkins, M Mitzenmacher, S Wagner-Carena arXiv preprint arXiv:1709.00649, 2017	21	2017
Robust empirical risk minimization with tolerance R Bhattacharjee, M Hopkins, A Kumar, H Yu, K Chaudhuri International Conference on Algorithmic Learning Theory, 182-203, 2023	10	2023
Sampling Equilibria: Fast No-Regret Learning in Structured Games D Beaglehole, M Hopkins, D Kane, S Liu, S Lovett Proceedings of the 2023 Annual ACM-SIAM Symposium on Discrete Algorithms …, 2023	10	2023
A novel CMB component separation method: hierarchical generalized morphological component analysis S Wagner-Carena, M Hopkins, A Diaz Rivero, C Dvorkin Monthly Notices of the Royal Astronomical Society 494 (1), 1507-1529, 2020	10	2020
Doppelgangers: the Ur-operation and posets of bounded height T Browning, M Hopkins, Z Kelley arXiv preprint arXiv:1710.10407, 2017	10*	2017
Eigenstripping, Spectral Decay, and Edge-Expansion on Posets J Gaitonde, M Hopkins, T Kaufman, S Lovett, R Zhang arXiv preprint arXiv:2205.00644, 2022	9*	2022
Bounded memory active learning through enriched queries M Hopkins, D Kane, S Lovett, M Moshkovitz Conference on Learning Theory, 2358-2387, 2021	7	2021
Chernoff Bounds and Reverse Hypercontractivity on HDX Y Dikstein, M Hopkins arXiv preprint arXiv:2404.10961, 2024	5	2024
Active learning polynomial threshold functions O Ben-Eliezer, M Hopkins, C Yang, H Yu Advances in Neural Information Processing Systems 35, 24199-24212, 2022	5*	2022
Replicability in High Dimensional Statistics M Hopkins, R Impagliazzo, D Kane, S Liu, C Ye arXiv preprint arXiv:2406.02628, 2024	4*	2024
Do PAC-Learners Learn the Marginal Distribution? M Hopkins, DM Kane, S Lovett, G Mahajan arXiv preprint arXiv:2302.06285, 2023	4	2023
Representation-theoretic techniques for independence bounds of Cayley graphs M Hopkins Bachelor thesis, 2018	3	2018

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