Tijana Zrnic

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Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyPatvirtintas el. paštas cs.berkeley.edu
Celestine Mendler-DünnerELLIS Institute & Max Planck Institute for Intelligent Systems, TübingenPatvirtintas el. paštas tuebingen.mpg.de
Moritz HardtMax Planck Institute for Intelligent SystemsPatvirtintas el. paštas is.mpg.de
Juan Carlos PerdomoPostdoc, Harvard UniversityPatvirtintas el. paštas g.harvard.edu
Anastasios Nikolas AngelopoulosPh.D. Student, UC BerkeleyPatvirtintas el. paštas berkeley.edu
Aaditya RamdasAssociate Professor, Statistics and Machine Learning, Carnegie Mellon UniversityPatvirtintas el. paštas stat.cmu.edu
Eric MazumdarAssistant Professor, California Institute of TechnologyPatvirtintas el. paštas caltech.edu
Stephen BatesAssistant Professor, MIT EECSPatvirtintas el. paštas cs.berkeley.edu
Emmanuel CandesThe Simons Chair in Mathematics and Statistics, Stanford UniversityPatvirtintas el. paštas stanford.edu
Clara FannjiangGenentech, Prescient DesignPatvirtintas el. paštas gene.com
Vitaly FeldmanApple ML ResearchPatvirtintas el. paštas apple.com
Shankar SastryUniversity of CaliforniaPatvirtintas el. paštas berkeley.edu
John DuchiAssociate Professor of Statistics and Electrical Engineering, Stanford UniversityPatvirtintas el. paštas stanford.edu
Martin WainwrightProfessor, EECS/Mathematics, Massachusetts Institute of TechnologyPatvirtintas el. paštas mit.edu
Meena JagadeesanPhD Student, UC BerkeleyPatvirtintas el. paštas berkeley.edu
Anastazia ZunicMathematical Institute of the Serbian Academy of Sciences and ArtsPatvirtintas el. paštas mi.sanu.ac.rs
Tijana Nosek (Delić)Teaching assistantPatvirtintas el. paštas uns.ac.rs
Danica DespotovićData Scientist, ApnealPatvirtintas el. paštas inserm.fr
Will FithianAssistant Professor in Statistics, University of California BerkeleyPatvirtintas el. paštas berkeley.edu
Daniel L JiangAnthropicPatvirtintas el. paštas anthropic.com

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Tijana Zrnic

Stanford University

Patvirtintas el. paštas stanford.edu - Pagrindinis puslapis

machine learning statistics data science optimization


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
Performative prediction J Perdomo, T Zrnic, C Mendler-Dünner, M Hardt International Conference on Machine Learning, 7599-7609, 2020	378	2020
Stochastic optimization for performative prediction C Mendler-Dünner, J Perdomo, T Zrnic*, M Hardt Advances in Neural Information Processing Systems 33, 4929-4939, 2020	121	2020
Outside the echo chamber: Optimizing the performative risk JP Miller, JC Perdomo, T Zrnic* International Conference on Machine Learning, 7710-7720, 2021	112	2021
Prediction-Powered Inference AN Angelopoulos, S Bates, C Fannjiang, MI Jordan, T Zrnic* Science 382 (6671), 669-674, 2023	90	2023
Individual privacy accounting via a Renyi filter V Feldman, T Zrnic Advances in Neural Information Processing Systems 34, 28080-28091, 2021	87	2021
Who Leads and Who Follows in Strategic Classification? T Zrnic, E Mazumdar, S Sastry, M Jordan Advances in Neural Information Processing Systems 34, 15257-15269, 2021	63	2021
SAFFRON: an adaptive algorithm for online control of the false discovery rate A Ramdas, T Zrnic, M Wainwright, M Jordan International conference on machine learning, 4286-4294, 2018	55	2018
Regret minimization with performative feedback M Jagadeesan, T Zrnic, C Mendler-Dünner International Conference on Machine Learning, 9760-9785, 2022	40	2022
Asynchronous online testing of multiple hypotheses T Zrnic, A Ramdas, MI Jordan Journal of Machine Learning Research 22 (33), 1-39, 2021	37	2021
PPI++: Efficient Prediction-Powered Inference AN Angelopoulos, JC Duchi, T Zrnic* arXiv preprint arXiv:2311.01453, 2023	27	2023
Post-selection inference via algorithmic stability T Zrnic, MI Jordan The Annals of Statistics 51 (4), 1666-1691, 2023	24	2023
Natural analysts in adaptive data analysis T Zrnic, M Hardt International Conference on Machine Learning, 7703-7711, 2019	20	2019
Cross-prediction-powered inference T Zrnic, EJ Candès Proceedings of the National Academy of Sciences 121 (15), e2322083121, 2024	19	2024
Algorithmic Collective Action in Machine Learning M Hardt, E Mazumdar, C Mendler-Dünner, T Zrnic International Conference on Machine Learning, 12570-12586, 2023	19	2023
The power of batching in multiple hypothesis testing T Zrnic, D Jiang, A Ramdas, M Jordan International Conference on Artificial Intelligence and Statistics, 3806-3815, 2020	18	2020
Plug-in performative optimization L Lin, T Zrnic International Conference on Machine Learning, 2024	14	2024
Valid Inference after Causal Discovery P Gradu, T Zrnic, Y Wang, MI Jordan arXiv preprint arXiv:2208.05949, 2022	10	2022
Private prediction sets AN Angelopoulos, S Bates, T Zrnic*, MI Jordan Harvard Data Science Review, 2022	9	2022
Locally simultaneous inference T Zrnic, W Fithian Annals of Statistics 52 (3), 1227-1253, 2024	8	2024
Improving location of recording classification using electric network frequency (ENF) analysis Ž Šarić, A Žunić, T Zrnić, M Knežević, D Despotović, T Delić 2016 IEEE 14th International Symposium on Intelligent Systems and …, 2016	7	2016

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