Nilesh Tripuraneni

Cited by

	All	Since 2019
Citations	1605	1422
h-index	17	15
i10-index	20	18

540

270

135

405

2010201120122013201420152016201720182019202020212022202320248 14 3 8 14 30 15 31 53 64 109 164 278 277 527

Public access

View all

5 articles

0 articles

available

not available

Based on funding mandates

Co-authors

Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyVerified email at cs.berkeley.edu
Chi JinAssistant Professor, Princeton UniversityVerified email at princeton.edu
Peter BartlettProfessor, EECS and Statistics, UC BerkeleyVerified email at cs.berkeley.edu
Zoubin GhahramaniProfessor, University of Cambridge, and Distinguished Researcher, GoogleVerified email at eng.cam.ac.uk
Jeffrey RegierAssistant Professor, Department of Statistics, University of MichiganVerified email at umich.edu
Yeshwanth CherapanamjeriPh.D Student, UC BerkeleyVerified email at berkeley.edu
Nicolas FlammarionEPFLVerified email at epfl.ch
Mitchell SternUC BerkeleyVerified email at berkeley.edu
Jeffrey PenningtonGoogle BrainVerified email at google.com
Francis BachInria - Ecole Normale SupérieureVerified email at inria.fr
Aldo PacchianoBroad Institute of MIT and HarvardVerified email at broadinstitute.org
Mark RowlandResearch Scientist, Google DeepMindVerified email at google.com
Samuel B. HopkinsMassachusetts Institute of TechnologyVerified email at mit.edu
Prasad RaghavendraProfessor, University of California BerkeleyVerified email at cs.berkeley.edu
Jon McAuliffeProfessor (Adj.) of Statistics, University of California, BerkeleyVerified email at stat.berkeley.edu
Matej BalogResearch Scientist, DeepMindVerified email at google.com
Adrian WellerDirector of Research, Machine Learning, University of CambridgeVerified email at eng.cam.ac.uk
Shixiang Shane GuGoogle DeepMindVerified email at google.com
Dean FosterAmazon, NYCVerified email at amazon.com

Nilesh Tripuraneni

Google Research

Verified email at google.com - Homepage

Machine Learning Deep Learning NLP Statistics Optimization


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Gemini: a family of highly capable multimodal models G Team, R Anil, S Borgeaud, Y Wu, JB Alayrac, J Yu, R Soricut, ... arXiv preprint arXiv:2312.11805, 2023	427	2023
On the theory of transfer learning: The importance of task diversity N Tripuraneni, M Jordan, C Jin Advances in neural information processing systems 33, 7852-7862, 2020	199	2020
Provable meta-learning of linear representations N Tripuraneni, C Jin, M Jordan International Conference on Machine Learning, 10434-10443, 2021	175	2021
Stochastic cubic regularization for fast nonconvex optimization N Tripuraneni, M Stern, C Jin, J Regier, MI Jordan Advances in neural information processing systems 31, 2018	172	2018
Averaging stochastic gradient descent on Riemannian manifolds N Tripuraneni, N Flammarion, F Bach, MI Jordan Conference On Learning Theory, 650-687, 2018	110	2018
Bulk viscosity and cavitation in boost-invariant hydrodynamic expansion K Rajagopal, N Tripuraneni Journal of High Energy Physics 2010 (3), 1-28, 2010	107	2010
Magnetic hamiltonian monte carlo N Tripuraneni, M Rowland, Z Ghahramani, R Turner International Conference on Machine Learning, 3453-3461, 2017	44	2017
Algorithms for heavy-tailed statistics: Regression, covariance estimation, and beyond Y Cherapanamjeri, SB Hopkins, T Kathuria, P Raghavendra, ... Proceedings of the 52nd Annual ACM SIGACT Symposium on Theory of Computing …, 2020	43	2020
Overparameterization improves robustness to covariate shift in high dimensions N Tripuraneni, B Adlam, J Pennington Advances in Neural Information Processing Systems 34, 13883-13897, 2021	38	2021
Optimal robust linear regression in nearly linear time Y Cherapanamjeri, E Aras, N Tripuraneni, MI Jordan, N Flammarion, ... arXiv preprint arXiv:2007.08137, 2020	38	2020
Rao-Blackwellized stochastic gradients for discrete distributions R Liu, J Regier, N Tripuraneni, M Jordan, J Mcauliffe International Conference on Machine Learning, 4023-4031, 2019	38	2019
Lost relatives of the Gumbel trick M Balog, N Tripuraneni, Z Ghahramani, A Weller International Conference on Machine Learning, 371-379, 2017	31	2017
Particle Gibbs for infinite hidden Markov models N Tripuraneni, SS Gu, H Ge, Z Ghahramani Advances in Neural Information Processing Systems 28, 2015	26	2015
Evaluating Stream Filtering for Entity Profile Updates for TREC 2013. JR Frank, SJ Bauer, M Kleiman-Weiner, DA Roberts, N Tripuraneni, ... TREC 2013, 21, 2013	25	2013
Optimal mean estimation without a variance Y Cherapanamjeri, N Tripuraneni, P Bartlett, M Jordan Conference on Learning Theory, 356-357, 2022	23	2022
Covariate shift in high-dimensional random feature regression N Tripuraneni, B Adlam, J Pennington arXiv preprint arXiv:2111.08234, 2021	23	2021
Quantitative criticism of literary relationships JP Dexter, T Katz, N Tripuraneni, T Dasgupta, A Kannan, JA Brofos, ... Proceedings of the National Academy of Sciences 114 (16), E3195-E3204, 2017	23	2017
Pretraining data mixtures enable narrow model selection capabilities in transformer models S Yadlowsky, L Doshi, N Tripuraneni arXiv preprint arXiv:2311.00871, 2023	14	2023
Parallelizing contextual bandits J Chan, A Pacchiano, N Tripuraneni, YS Song, P Bartlett, MI Jordan arXiv preprint arXiv:2105.10590, 2021	12	2021
Evaluating stream filtering for entity profile updates for TREC 2013 (KBA Track Overview) JR Frank, SJ Bauer, M Kleiman-Weiner, DA Roberts, N Tripuraneni, ... Proceedings of the Text REtrieval Conference (TREC), 2013	12	2013

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