Nika Haghtalab

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Ariel ProcacciaGordon McKay Professor of Computer Science, Harvard UniversityVerified email at seas.harvard.edu
Avrim BlumProfessor and Chief Academic Officer, Toyota Technological Institute at ChicagoVerified email at ttic.edu
Maria-Florina BalcanProfessor, School of Computer Science, Carnegie Mellon UniversityVerified email at cs.cmu.edu
pranjal awasthiRutgers UniversityVerified email at rutgers.edu
Tuomas SandholmAngel Jordan University Professor of Computer Science, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Vasilis SyrgkanisMicrosoft ResearchVerified email at microsoft.com
Robert SchapireMicrosoft ResearchVerified email at microsoft.com
Haipeng LuoUniversity of Southern CaliforniaVerified email at usc.edu
John P. DickersonAssistant Professor of Computer Science, University of MarylandVerified email at cs.umd.edu
Colin WhiteAbacus.AIVerified email at cs.cmu.edu
Miroslav DudikMicrosoft ResearchVerified email at microsoft.com
Hongyang ZhangCMU, TTICVerified email at ttic.edu
Ruth UrnerAssistant Professor, York University, TorontoVerified email at eecs.yorku.ca
Shai Ben-DavidUniverity of Waterloo, CanadaVerified email at uwaterloo.ca
Milind TambeDirector CRCS Center @Harvard; Director "AI for Social Good" @Google India ResearchVerified email at harvard.edu
Fei FangCarnegie Mellon UniversityVerified email at cmu.edu
Thanh NguyenComputer and Information Science, University of OregonVerified email at cs.uoregon.edu
Arunesh SinhaSingapore Management UniversityVerified email at smu.edu.sg
Ioannis CaragiannisProfessor, Aarhus UniversityVerified email at cs.au.dk
Rohit VaishVisiting Fellow, Tata Institute of Fundamental Research (TIFR)Verified email at tifr.res.in

Nika Haghtalab

University of California, Berkeley

Verified email at berkeley.edu - Homepage

Learning theory Game theory Artificial Intelligence


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Learning optimal commitment to overcome insecurity A Blum, N Haghtalab, AD Procaccia Carnegie Mellon University, 2014	76	2014
Commitment Without Regrets: Online Learning in Stackelberg Security Games MF Balcan, A Blum, N Haghtalab, AD Procaccia	71	2015
Learning and 1-bit compressed sensing under asymmetric noise P Awasthi, MF Balcan, N Haghtalab, H Zhang Conference on Learning Theory, 152-192, 2016	63	2016
Efficient learning of linear separators under bounded noise P Awasthi, MF Balcan, N Haghtalab, R Urner Conference on Learning Theory, 167-190, 2015	62	2015
Ignorance is almost bliss: Near-optimal stochastic matching with few queries A Blum, JP Dickerson, N Haghtalab, AD Procaccia, T Sandholm, ... Proceedings of the Sixteenth ACM Conference on Economics and Computation …, 2015	48	2015
Oracle-efficient online learning and auction design M Dudík, N Haghtalab, H Luo, RE Schapire, V Syrgkanis, JW Vaughan 2017 ieee 58th annual symposium on foundations of computer science (focs …, 2017	33	2017
The provable virtue of laziness in motion planning N Haghtalab, S Mackenzie, A Procaccia, O Salzman, S Srinivasa Proceedings of the International Conference on Automated Planning and …, 2018	27	2018
Three strategies to success: Learning adversary models in security games N Haghtalab, F Fang, TH Nguyen, A Sinha, AD Procaccia, M Tambe	27	2016
Clustering in the Presence of Background Noise S Ben-David, N Haghtalab International Conference in Machine Learning (ICML 2014), 2014	27	2014
Lazy Defenders Are Almost Optimal Against Diligent Attackers A Blum, N Haghtalab, AD Procaccia 28th AAAI Conference on Artificial Intelligence, 2014	25	2014
Collaborative PAC learning A Blum, N Haghtalab, AD Procaccia, M Qiao NIPS 2017, 2017	21	2017
Maximizing welfare with incentive-aware evaluation mechanisms N Haghtalab, N Immorlica, B Lucier, JZ Wang arXiv preprint arXiv:2011.01956, 2020	17	2020
The disparate equilibria of algorithmic decision making when individuals invest rationally LT Liu, A Wilson, N Haghtalab, AT Kalai, C Borgs, J Chayes Proceedings of the 2020 Conference on Fairness, Accountability, and …, 2020	17	2020
-center Clustering under Perturbation Resilience MF Balcan, N Haghtalab, C White arXiv preprint arXiv:1505.03924, 2015	17*	2015
Online Learning with a Hint. O Dekel, A Flajolet, N Haghtalab, P Jaillet NIPS, 5299-5308, 2017	16	2017
Opting into optimal matchings A Blum, I Caragiannis, N Haghtalab, AD Procaccia, EB Procaccia, ... Proceedings of the Twenty-Eighth Annual ACM-SIAM Symposium on Discrete …, 2017	15	2017
Structured robust submodular maximization: Offline and online algorithms N Anari, N Haghtalab, S Naor, S Pokutta, M Singh, A Torrico The 22nd International Conference on Artificial Intelligence and Statistics …, 2019	13	2019
Efficient PAC learning from the crowd P Awasthi, A Blum, N Haghtalab, Y Mansour Conference on Learning Theory, 127-150, 2017	11	2017
Oracle-efficient Online Learning and Auction Design M Dudíte; k, N Haghtalab, H Luo, RE Schapire, V Syrgkanis, JW Vaughan Journal of the ACM (JACM) 67 (5), 1-57, 2020	9	2020
Ignorance is almost bliss: Near-optimal stochastic matching with few queries A Blum, JP Dickerson, N Haghtalab, AD Procaccia, T Sandholm, ... Operations research 68 (1), 16-34, 2020	8	2020

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