Barnabas Poczos

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	Alles	Sinds 2017
Citaties	14082	12773
h-index	59	56
i10-index	144	124

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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
Chun-Liang LiResearch Scientist, GoogleGeverifieerd e-mailadres voor google.com
Siamak RavanbakhshAssistant Professor, McGill UniversityGeverifieerd e-mailadres voor cs.mcgill.ca
Aarti SinghProfessor of Machine Learning Department, Carnegie Mellon UniversityGeverifieerd e-mailadres voor cmu.edu
Alex SmolaAmazon Web ServicesGeverifieerd e-mailadres voor smola.org
Lorincz, AndrasEotvos Lorand UniversityGeverifieerd e-mailadres voor inf.elte.hu
Ruslan SalakhutdinovUPMC Professor, Machine Learning Department, CMUGeverifieerd e-mailadres voor cs.cmu.edu
Shashank SinghMax Planck Institute for Intelligent SystemsGeverifieerd e-mailadres voor tuebingen.mpg.de
Manzil ZaheerGoogle ResearchGeverifieerd e-mailadres voor cmu.edu
Zoltan SzaboProfessor, LSEGeverifieerd e-mailadres voor lse.ac.uk
Eric XingPresident at Mohamed bin Zayed University of AI, Professor of Computer Science, Carnegie Mellon UGeverifieerd e-mailadres voor cs.cmu.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
Simon Shaolei DuAssistant Professor, School of Computer Science and Engineering, University of WashingtonGeverifieerd e-mailadres voor cs.washington.edu
Willie NeiswangerPostdoc, Computer Science, Stanford UniversityGeverifieerd e-mailadres voor cs.stanford.edu
Bharath SriperumbudurPennsylvania State UniversityGeverifieerd e-mailadres voor psu.edu
Suvrit SraMITGeverifieerd e-mailadres voor mit.edu
Akshay KrishnamurthyUniversity of Massachusetts AmherstGeverifieerd e-mailadres voor cs.umass.edu

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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 30, 2017	1750	2017
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 30, 2017	611	2017
Bayesian optimization with robust bayesian neural networks JT Springenberg, A Klein, S Falkner, F Hutter Advances in Neural Information Processing Systems, 4134-4142, 2016	567*	2016
Stochastic variance reduction for nonconvex optimization SJ Reddi, A Hefny, S Sra, B Póczos, A Smola International conference on machine learning, 314-323, 2016	541	2016
Gradient descent provably optimizes over-parameterized neural networks SS Du, X Zhai, B Poczos, A Singh arXiv preprint arXiv:1810.02054, 2018	532	2018
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 31, 2018	471	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	313	2017
High dimensional Bayesian optimisation and bandits via additive models K Kandasamy, J Schneider, B Póczos International conference on machine learning, 295-304, 2015	288	2015
Characterizing and avoiding negative transfer Z Wang, Z Dai, B Póczos, J Carbonell Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019	268	2019
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 30, 2017	219	2017
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	209	2018
Competence-based curriculum learning for neural machine translation EA Platanios, O Stretcu, G Neubig, B Poczos, TM Mitchell arXiv preprint arXiv:1903.09848, 2019	186	2019
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, 2015	182	2015
Deep learning with sets and point clouds S Ravanbakhsh, J Schneider, B Poczos arXiv preprint arXiv:1611.04500, 2016	175	2016
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	173	2018
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 23, 2010	173	2010
Multi-fidelity bayesian optimisation with continuous approximations K Kandasamy, G Dasarathy, J Schneider, B Póczos International Conference on Machine Learning, 1799-1808, 2017	171	2017
Found in translation: Learning robust joint representations by cyclic translations between modalities H Pham, PP Liang, T Manzini, LP Morency, B Póczos Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 6892-6899, 2019	166	2019
Parallelised Bayesian optimisation via Thompson sampling K Kandasamy, A Krishnamurthy, J Schneider, B Póczos International Conference on Artificial Intelligence and Statistics, 133-142, 2018	166	2018
Graph neural tangent kernel: Fusing graph neural networks with graph kernels SS Du, K Hou, RR Salakhutdinov, B Poczos, R Wang, K Xu Advances in neural information processing systems 32, 2019	161	2019

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