Barnabas Poczos

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Jeff SchneiderCarnegie Mellon UniversityGeverifieerd e-mailadres voor cs.cmu.edu
Kirthevasan KandasamyUniversity of California, BerkeleyGeverifieerd e-mailadres voor cs.cmu.edu
Sashank J. ReddiResearch Scientist, Google ResearchGeverifieerd e-mailadres voor cs.cmu.edu
Lorincz, AndrasEotvos Lorand UniversityGeverifieerd e-mailadres voor inf.elte.hu
Chun-Liang LiResearch Scientist, GoogleGeverifieerd e-mailadres voor google.com
Siamak RavanbakhshAssistant Professor, McGill UniversityGeverifieerd e-mailadres voor cs.mcgill.ca
Alex SmolaAmazon Web ServicesGeverifieerd e-mailadres voor smola.org
Zoltan SzaboSenior Researcher, Center of Applied Mathematics (CMAP), École PolytechniqueGeverifieerd e-mailadres voor polytechnique.edu
Junier OlivaAssistant Professor, University of North CarolinaGeverifieerd e-mailadres voor cs.unc.edu
Larry WassermanProfessor, Department of Statistics and Machine Learning Department, Carnegie Mellon UniversityGeverifieerd e-mailadres voor stat.cmu.edu
Ruslan SalakhutdinovUPMC Professor, Machine Learning Department, CMUGeverifieerd e-mailadres voor cs.cmu.edu
Eric XingProfessor of Machine Learning, Language Technology, Computer Science, Cargenie Mellon UniversityGeverifieerd e-mailadres voor cs.cmu.edu
Manzil ZaheerGoogle ResearchGeverifieerd e-mailadres voor cmu.edu
Simon Shaolei DuAssistant Professor, School of Computer Science and Engineering, University of WashingtonGeverifieerd e-mailadres voor cs.washington.edu
Bharath SriperumbudurPennsylvania State UniversityGeverifieerd e-mailadres voor psu.edu
Shashank SinghCarnegie Mellon University; GoogleGeverifieerd e-mailadres voor google.com
Suvrit SraMITGeverifieerd e-mailadres voor mit.edu
Willie NeiswangerPostdoc, Computer Science, Stanford UniversityGeverifieerd e-mailadres voor cs.stanford.edu
Danica J. SutherlandUniversity of British ColumbiaGeverifieerd e-mailadres voor cs.ubc.ca
Akshay KrishnamurthyUniversity of Massachusetts AmherstGeverifieerd e-mailadres voor cs.umass.edu

Barnabas Poczos

Associate professor, Carnegie Mellon University

Geverifieerd e-mailadres voor cs.cmu.edu - Homepage

Artificial Intelligence Machine Learning Statistics


Titel Sorteren op citaties Sorteren op jaar Sorteren op titel	Geciteerd door Geciteerd door	Jaar
Deep sets M Zaheer, S Kottur, S Ravanbakhsh, B Poczos, RR Salakhutdinov, ... Advances in neural information processing systems, 3391-3401, 2017	777	2017
Gradient descent provably optimizes over-parameterized neural networks SS Du, X Zhai, B Poczos, A Singh arXiv preprint arXiv:1810.02054, 2018	419	2018
Stochastic variance reduction for nonconvex optimization SJ Reddi, A Hefny, S Sra, B Poczos, A Smola International conference on machine learning, 314-323, 2016	410	2016
Bayesian optimization with robust bayesian neural networks JT Springenberg, A Klein, S Falkner, F Hutter Advances in Neural Information Processing Systems, 4134-4142, 2016	363*	2016
Mmd gan: Towards deeper understanding of moment matching network CL Li, WC Chang, Y Cheng, Y Yang, B Póczos Advances in neural information processing systems, 2203-2213, 2017	340	2017
Neural architecture search with bayesian optimisation and optimal transport K Kandasamy, W Neiswanger, J Schneider, B Poczos, EP Xing Advances in neural information processing systems, 2016-2025, 2018	218	2018
One Network to Solve Them All--Solving Linear Inverse Problems Using Deep Projection Models JH Rick Chang, CL Li, B Poczos, BVK Vijaya Kumar, ... Proceedings of the IEEE International Conference on Computer Vision, 5888-5897, 2017	212	2017
High dimensional Bayesian optimisation and bandits via additive models K Kandasamy, J Schneider, B Póczos International conference on machine learning, 295-304, 2015	177	2015
On variance reduction in stochastic gradient descent and its asynchronous variants S J Reddi, A Hefny, S Sra, B Poczos, AJ Smola Advances in neural information processing systems 28, 2647-2655, 2015	156	2015
Estimation of Rényi entropy and mutual information based on generalized nearest-neighbor graphs D Pál, B Póczos, C Szepesvári Advances in neural information processing systems, 1849-1857, 2010	154	2010
Gradient descent learns one-hidden-layer cnn: Don’t be afraid of spurious local minima S Du, J Lee, Y Tian, A Singh, B Poczos International Conference on Machine Learning, 1339-1348, 2018	151	2018
Local similarity-aware deep feature embedding C Huang, CC Loy, X Tang arXiv preprint arXiv:1610.08904, 2016	142*	2016
Gradient descent can take exponential time to escape saddle points SS Du, C Jin, JD Lee, MI Jordan, A Singh, B Poczos Advances in neural information processing systems, 1067-1077, 2017	131	2017
Deep learning with sets and point clouds S Ravanbakhsh, J Schneider, B Poczos arXiv preprint arXiv:1611.04500, 2016	114	2016
On the decreasing power of kernel and distance based nonparametric hypothesis tests in high dimensions A Ramdas, SJ Reddi, B Póczos, A Singh, L Wasserman Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015	102	2015
On the estimation of alpha-divergences B Póczos, J Schneider Proceedings of the Fourteenth International Conference on Artificial …, 2011	102	2011
CMU DeepLens: deep learning for automatic image-based galaxy–galaxy strong lens finding F Lanusse, Q Ma, N Li, TE Collett, CL Li, S Ravanbakhsh, R Mandelbaum, ... Monthly Notices of the Royal Astronomical Society 473 (3), 3895-3906, 2018	91	2018
Gaussian process bandit optimisation with multi-fidelity evaluations K Kandasamy, G Dasarathy, JB Oliva, J Schneider, B Póczos Advances in neural information processing systems, 992-1000, 2016	90	2016
Stochastic frank-wolfe methods for nonconvex optimization SJ Reddi, S Sra, B Póczos, A Smola 2016 54th Annual Allerton Conference on Communication, Control, and …, 2016	87	2016
Group anomaly detection using flexible genre models L Xiong, B Póczos, J Schneider Advances in neural information processing systems 24, 1071-1079, 2011	87	2011

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