Barnabas Poczos

Cited by

	All	Since 2018
Citations	16228	14267
h-index	63	57
i10-index	149	123

3700

1850

925

2775

20092010201120122013201420152016201720182019202020212022202355 35 73 117 85 161 230 406 640 1193 2026 2725 3404 3630 1260

Public access

View all

66 articles

2 articles

available

not available

Based on funding mandates

Co-authors

Jeff SchneiderCarnegie Mellon UniversityVerified email at cs.cmu.edu
Kirthevasan KandasamyUniversity of California, BerkeleyVerified email at cs.cmu.edu
Sashank J. ReddiResearch Scientist, Google ResearchVerified email at cs.cmu.edu
Aarti SinghProfessor of Machine Learning Department, Carnegie Mellon UniversityVerified email at cmu.edu
Siamak RavanbakhshAssistant Professor, McGill UniversityVerified email at cs.mcgill.ca
Chun-Liang LiResearch Scientist, GoogleVerified email at google.com
Alex SmolaBoson AIVerified email at smola.org
Lorincz, AndrasEotvos Lorand UniversityVerified email at inf.elte.hu
Ruslan SalakhutdinovUPMC Professor, Machine Learning Department, CMUVerified email at cs.cmu.edu
Shashank SinghMax Planck Institute for Intelligent SystemsVerified email at tuebingen.mpg.de
Eric XingPresident at Mohamed bin Zayed University of AI, Professor of Computer Science, Carnegie Mellon UVerified email at cs.cmu.edu
Simon Shaolei DuAssistant Professor, School of Computer Science and Engineering, University of WashingtonVerified email at cs.washington.edu
Junier OlivaAssistant Professor, University of North CarolinaVerified email at cs.unc.edu
Zoltan SzaboProfessor, LSEVerified email at lse.ac.uk
Manzil ZaheerGoogle ResearchVerified email at cmu.edu
Larry WassermanProfessor, Department of Statistics and Machine Learning Department, Carnegie Mellon UniversityVerified email at stat.cmu.edu
Willie NeiswangerPostdoc, Computer Science, Stanford UniversityVerified email at cs.stanford.edu
Bharath SriperumbudurPennsylvania State UniversityVerified email at psu.edu
Suvrit SraMITVerified email at mit.edu
Akshay KrishnamurthyUniversity of Massachusetts AmherstVerified email at cs.umass.edu

Barnabas Poczos

Associate professor, Carnegie Mellon University

Verified email at cs.cmu.edu - Homepage

Artificial Intelligence Machine Learning Statistics


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Deep sets M Zaheer, S Kottur, S Ravanbakhsh, B Poczos, RR Salakhutdinov, ... Advances in neural information processing systems 30, 2017	2037	2017
Gradient descent provably optimizes over-parameterized neural networks SS Du, X Zhai, B Poczos, A Singh arXiv preprint arXiv:1810.02054, 2018	1030	2018
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	689	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	632*	2016
Stochastic variance reduction for nonconvex optimization SJ Reddi, A Hefny, S Sra, B Poczos, A Smola International conference on machine learning, 314-323, 2016	577	2016
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	535	2018
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	341	2019
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	332	2017
High dimensional Bayesian optimisation and bandits via additive models K Kandasamy, J Schneider, B Póczos International conference on machine learning, 295-304, 2015	323	2015
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	235	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	221	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	219	2019
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	217	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	199	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	195	2019
Multi-fidelity bayesian optimisation with continuous approximations K Kandasamy, G Dasarathy, J Schneider, B Póczos International Conference on Machine Learning, 1799-1808, 2017	194	2017
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	193	2015
Equivariance through parameter-sharing S Ravanbakhsh, J Schneider, B Poczos International conference on machine learning, 2892-2901, 2017	188	2017
Deep learning with sets and point clouds S Ravanbakhsh, J Schneider, B Poczos arXiv preprint arXiv:1611.04500, 2016	185	2016
Point cloud gan CL Li, M Zaheer, Y Zhang, B Poczos, R Salakhutdinov arXiv preprint arXiv:1810.05795, 2018	183	2018

The system can't perform the operation now. Try again later.

Articles 1–20

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Follow

Cited by

Co-authors