Jordan Awan

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Aleksandra SlavkovicPenn State UniversityEmail yang diverifikasi di stat.psu.edu
Matthew ReimherrAmazon, Pennsylvania State UniversityEmail yang diverifikasi di psu.edu
olivier bernardiBrandeis UniversityEmail yang diverifikasi di brandeis.edu
Ana Maria KenneyUniversity of California IrvineEmail yang diverifikasi di uci.edu
Nianqiao P. JuPurdue University, Department of StatisticsEmail yang diverifikasi di purdue.edu
Christopher R. WattsTexas Christian UniversityEmail yang diverifikasi di tcu.edu
Vinayak RaoAssociate Professor, Department of Statistics, Purdue UniversityEmail yang diverifikasi di purdue.edu
Zhanyu WangResearch Scientist, MetaEmail yang diverifikasi di meta.com
Ruobin GongAssociate Professor of Statistics, Rutgers UniversityEmail yang diverifikasi di stat.rutgers.edu
Mohsin Ahmed ShaikhAssociate Professor Audiology, Commonwealth University of PennsylvaniaEmail yang diverifikasi di bloomu.edu
Kelvin O. LimProfessor of Psychiatry, University of MinnesotaEmail yang diverifikasi di umn.edu
Zhanrui CaiThe University of Hong KongEmail yang diverifikasi di hku.hk
Guang ChengTrustworthy AI Lab, UCLAEmail yang diverifikasi di ucla.edu
Yuki OhnishiYale School of Public HealthEmail yang diverifikasi di yale.edu
Ang LiPh.D. Candidate in Mechanical Engineering, Purdue UniversityEmail yang diverifikasi di purdue.edu
Salil VadhanVicky Joseph Professor of Computer Science and Applied Mathematics, Harvard UniversityEmail yang diverifikasi di g.harvard.edu
Sohn JinwonPurdue UniversityEmail yang diverifikasi di purdue.edu
Sehwan KimHarvard Medical SchoolEmail yang diverifikasi di hphci.harvard.edu
Taegyu KangPurdue UniversityEmail yang diverifikasi di purdue.edu
Jinshuo DongNorthwestern UniversityEmail yang diverifikasi di northwestern.edu

Ikuti

Jordan Awan

Assistant Professor, Purdue University

Email yang diverifikasi di purdue.edu - Beranda

Differential Privacy Statistics Voice Analysis Discrete Mathematics


Judul Urutkan menurut kutipan Urutkan menurut tahun Urutkan menurut judul	Dikutip oleh Dikutip oleh	Tahun
Structure and sensitivity in differential privacy: Comparing k-norm mechanisms J Awan, A Slavković Journal of the American Statistical Association, 1-20, 2021	76	2021
Differentially private uniformly most powerful tests for binomial data J Awan, A Slavkovic Advances in Neural Information Processing Systems 31, 4212-4222, 2018	63	2018
Acoustic and perceptual classification of within-sample normal, intermittently dysphonic, and consistently dysphonic voice types CS Gaskill, JA Awan, CR Watts, SN Awan Journal of Voice 31 (2), 218-228, 2017	41	2017
Benefits and pitfalls of the exponential mechanism with applications to hilbert spaces and functional pca J Awan, A Kenney, M Reimherr, A Slavković International Conference on Machine Learning, 374-384, 2019	37	2019
The effect of gender on measures of electroglottographic contact quotient SN Awan, JA Awan Journal of Voice 27 (4), 433-440, 2013	36	2013
Tutte polynomials for directed graphs J Awan, O Bernardi Journal of Combinatorial Theory, Series B 140, 192-247, 2020	31	2020
KNG: The k-norm gradient mechanism M Reimherr, J Awan Advances in Neural Information Processing Systems 32, 10208-10219, 2019	31	2019
Smartphone recordings are comparable to “gold standard” recordings for acoustic measurements of voice SN Awan, MA Shaikh, JA Awan, I Abdalla, KO Lim, S Misono Journal of voice, 2023	29	2023
Data augmentation MCMC for Bayesian inference from privatized data N Ju, J Awan, R Gong, V Rao Advances in neural information processing systems 35, 12732-12743, 2022	26	2022
A two-stage cepstral analysis procedure for the classification of rough voices SN Awan, JA Awan Journal of Voice 34 (1), 9-19, 2020	26	2020
Differentially private inference for binomial data J Awan, A Slavkovic Journal of Privacy and Confidentiality 10 (1), 2020	24	2020
Elliptical Perturbations for Differential Privacy M Reimherr, J Awan Advances in Neural Information Processing Systems 32, 10208-10219, 2019	16	2019
Canonical noise distributions and private hypothesis tests J Awan, S Vadhan The Annals of Statistics 51 (2), 547-572, 2023	15	2023
One Step to Efficient Synthetic Data J Awan, Z Cai arXiv preprint arXiv:2006.02397, 2020	11	2020
Log-Concave and Multivariate Canonical Noise Distributions for Differential Privacy J Awan, J Dong Advances in neural information processing systems 35, 34229-34240, 2022	10	2022
Differentially private bootstrap: New privacy analysis and inference strategies Z Wang, G Cheng, J Awan arXiv preprint arXiv:2210.06140, 2022	10	2022
Simulation-based, finite-sample inference for privatized data J Awan, Z Wang Journal of the American Statistical Association, 1-14, 2024	8	2024
Privacy-aware rejection sampling J Awan, V Rao Journal of machine learning research 24 (74), 1-32, 2023	8	2023
Use of a vortex whistle for measures of respiratory capacity SN Awan, JA Awan Journal of Voice 36 (5), 630-636, 2022	7	2022
Locally private causal inference for randomized experiments Y Ohnishi, J Awan Journal of Machine Learning Research 26 (14), 1-40, 2025	5*	2025

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