Nika Haghtalab

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	All	Since 2020
Citations	2554	2170
h-index	25	23
i10-index	38	35

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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 awasthiGoogleVerified email at rutgers.edu
Miroslav DudikMicrosoft ResearchVerified email at microsoft.com
Vasilis SyrgkanisAssistant Professor, Stanford UniversityVerified email at stanford.edu
Robert SchapireMicrosoft ResearchVerified email at microsoft.com
Haipeng LuoAssociate Professor, University of Southern CaliforniaVerified email at usc.edu
Tuomas SandholmAngel Jordan University Professor of Computer Science, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Colin WhiteMetaVerified email at cs.cmu.edu
Ruth UrnerAssociate Professor, York University, TorontoVerified email at eecs.yorku.ca
Hongyang ZhangAssistant Professor of Computer Science, University of WaterlooVerified email at uwaterloo.ca
Ankit SharmaGoogle Inc.Verified email at google.com
John P. DickersonAssociate Professor of Computer Science, University of Maryland & Chief Scientist, Arthur AIVerified email at cs.umd.edu
Milind TambeProfessor & Director CRCS Center @Harvard; Director "AI for Social Good" @Google ResearchVerified email at harvard.edu
Fei FangCarnegie Mellon UniversityVerified email at cmu.edu
Thanh NguyenComputer Science, University of OregonVerified email at cs.uoregon.edu
Arunesh SinhaRutgers UniversityVerified email at rutgers.edu
Shai Ben-DavidUniverity of Waterloo, CanadaVerified email at uwaterloo.ca
Yishay MansourTel Aviv UniversityVerified email at tauex.tau.ac.il

Nika Haghtalab

University of California, Berkeley

Verified email at berkeley.edu - Homepage

Learning theory Game theory Artificial Intelligence


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Jailbroken: How does llm safety training fail? A Wei, N Haghtalab, J Steinhardt Advances in Neural Information Processing Systems 36, 2024	715	2024
Commitment Without Regrets: Online Learning in Stackelberg Security Games MF Balcan, A Blum, N Haghtalab, AD Procaccia	155	2015
Learning optimal commitment to overcome insecurity A Blum, N Haghtalab, AD Procaccia Advances in Neural Information Processing Systems 27, 2014	126	2014
Efficient learning of linear separators under bounded noise P Awasthi, MF Balcan, N Haghtalab, R Urner Conference on Learning Theory, 167-190, 2015	112	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	106	2016
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	96	2020
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	84	2015
Oracle-efficient online learning and auction design M Dudík, N Haghtalab, H Luo, RE Schapire, V Syrgkanis, JW Vaughan Journal of the ACM (JACM) 67 (5), 1-57, 2020	83	2020
Maximizing welfare with incentive-aware evaluation mechanisms N Haghtalab, N Immorlica, B Lucier, JZ Wang arXiv preprint arXiv:2011.01956, 2020	82	2020
Collaborative PAC learning A Blum, N Haghtalab, AD Procaccia, M Qiao Advances in Neural Information Processing Systems 30, 2017	72	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	61	2018
Smoothed analysis of online and differentially private learning N Haghtalab, T Roughgarden, A Shetty Advances in Neural Information Processing Systems 33, 9203-9215, 2020	59	2020
Smoothed analysis with adaptive adversaries N Haghtalab, T Roughgarden, A Shetty Journal of the ACM 71 (3), 1-34, 2024	58	2024
One for one, or all for all: Equilibria and optimality of collaboration in federated learning A Blum, N Haghtalab, RL Phillips, H Shao International Conference on Machine Learning, 1005-1014, 2021	56	2021
Online learning with a hint O Dekel, N Haghtalab, P Jaillet Advances in Neural Information Processing Systems 30, 2017	54	2017
Three strategies to success: Learning adversary models in security games N Haghtalab, F Fang, TH Nguyen, A Sinha, AD Procaccia, M Tambe	49	2016
On-demand sampling: Learning optimally from multiple distributions N Haghtalab, M Jordan, E Zhao Advances in Neural Information Processing Systems 35, 406-419, 2022	42	2022
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	40	2019
Clustering in the Presence of Background Noise S Ben-David, N Haghtalab International Conference in Machine Learning (ICML 2014), 2014	40	2014
Belief polarization in a complex world: A learning theory perspective N Haghtalab, MO Jackson, AD Procaccia Proceedings of the National Academy of Sciences 118 (19), e2010144118, 2021	31	2021

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