Nilesh Tripuraneni

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	All	Since 2016
Citations	347	289
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Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyVerified email at cs.berkeley.edu
Zoubin GhahramaniProfessor, University of Cambridge, and Distinguished Researcher, GoogleVerified email at eng.cam.ac.uk
Chi JinAssistant Professor, Princeton UniversityVerified email at princeton.edu
Jeffrey RegierAssistant Professor, Department of Statistics, University of MichiganVerified email at umich.edu
Nicolas FlammarionEPFLVerified email at epfl.ch
Yeshwanth CherapanamjeriPh.D Student, UC BerkeleyVerified email at berkeley.edu
Shixiang Shane Gu (顾世翔)Senior Research Scientist, Google BrainVerified email at google.com
Francis BachInria - Ecole Normale SupérieureVerified email at inria.fr
Pramit ChaudhuriAssociate Professor of Classics, The University of Texas at AustinVerified email at austin.utexas.edu
Matej BalogResearch Scientist, DeepMindVerified email at google.com
Adrian WellerPrincipal Research Fellow, Machine Learning, University of CambridgeVerified email at eng.cam.ac.uk
Mark RowlandResearch Scientist, DeepMindVerified email at google.com
Richard E TurnerProfessor, University of CambridgeVerified email at cam.ac.uk
Jon McAuliffeProfessor (Adj.) of Statistics, University of California, BerkeleyVerified email at stat.berkeley.edu
Joseph DexterNeukom Institute for Computational Science, Dartmouth CollegeVerified email at dartmouth.edu
Samuel B. HopkinsMiller Fellow, UC BerkeleyVerified email at berkeley.edu
Lester MackeyMicrosoft ResearchVerified email at microsoft.com

Nilesh Tripuraneni

UC Berkeley

Verified email at berkeley.edu - Homepage

Machine Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Bulk viscosity and cavitation in boost-invariant hydrodynamic expansion K Rajagopal, N Tripuraneni Journal of High Energy Physics 2010 (3), 18, 2010	93	2010
Stochastic cubic regularization for fast nonconvex optimization N Tripuraneni, M Stern, C Jin, J Regier, MI Jordan Advances in neural information processing systems, 2899-2908, 2018	92	2018
Averaging stochastic gradient descent on Riemannian manifolds N Tripuraneni, N Flammarion, F Bach, MI Jordan arXiv preprint arXiv:1802.09128, 2018	43	2018
Particle Gibbs for infinite hidden Markov models N Tripuraneni, SS Gu, H Ge, Z Ghahramani Advances in Neural Information Processing Systems 28, 2395-2403, 2015	21	2015
Lost relatives of the Gumbel trick M Balog, N Tripuraneni, Z Ghahramani, A Weller arXiv preprint arXiv:1706.04161, 2017	20	2017
Magnetic hamiltonian monte carlo N Tripuraneni, M Rowland, Z Ghahramani, R Turner International Conference on Machine Learning, 3453-3461, 2017	18	2017
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	15	2019
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	14	2017
Provable Meta-Learning of Linear Representations N Tripuraneni, C Jin, MI Jordan arXiv preprint arXiv:2002.11684, 2020	13	2020
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	9	2020
Optimal robust linear regression in nearly linear time Y Cherapanamjeri, E Aras, N Tripuraneni, MI Jordan, N Flammarion, ... arXiv preprint arXiv:2007.08137, 2020	4	2020
On the theory of transfer learning: The importance of task diversity N Tripuraneni, MI Jordan, C Jin arXiv preprint arXiv:2006.11650, 2020	3	2020
Debiasing Linear Prediction N Tripuraneni, L Mackey arXiv preprint arXiv:1908.02341, 2019	2	2019
Optimal Mean Estimation without a Variance Y Cherapanamjeri, N Tripuraneni, PL Bartlett, MI Jordan arXiv preprint arXiv:2011.12433, 2020		2020
Single Point Transductive Prediction N Tripuraneni, L Mackey International Conference on Machine Learning, 9593-9602, 2020		2020
Identifying Intertextuality in Classical Texts T Katz, MJ Dexter, T Dasgupta, P Chaudhuri		2014

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