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Nilesh Tripuraneni
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Cited by
Year
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
1492018
Provable meta-learning of linear representations
N Tripuraneni, C Jin, M Jordan
International Conference on Machine Learning, 10434-10443, 2021
1032021
Bulk viscosity and cavitation in boost-invariant hydrodynamic expansion
K Rajagopal, N Tripuraneni
Journal of High Energy Physics 2010 (3), 1-28, 2010
1032010
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
992020
Averaging stochastic gradient descent on Riemannian manifolds
N Tripuraneni, N Flammarion, F Bach, MI Jordan
Conference On Learning Theory, 650-687, 2018
872018
Magnetic hamiltonian monte carlo
N Tripuraneni, M Rowland, Z Ghahramani, R Turner
International Conference on Machine Learning, 3453-3461, 2017
382017
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
322020
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
322019
Optimal robust linear regression in nearly linear time
Y Cherapanamjeri, E Aras, N Tripuraneni, MI Jordan, N Flammarion, ...
arXiv preprint arXiv:2007.08137, 2020
302020
Lost relatives of the Gumbel trick
M Balog, N Tripuraneni, Z Ghahramani, A Weller
International Conference on Machine Learning, 371-379, 2017
232017
Particle Gibbs for infinite hidden Markov models
N Tripuraneni, SS Gu, H Ge, Z Ghahramani
Advances in Neural Information Processing Systems 28, 2015
232015
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
192017
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
182021
Covariate shift in high-dimensional random feature regression
N Tripuraneni, B Adlam, J Pennington
arXiv preprint arXiv:2111.08234, 2021
122021
Optimal mean estimation without a variance
Y Cherapanamjeri, N Tripuraneni, P Bartlett, M Jordan
Conference on Learning Theory, 356-357, 2022
112022
Single point transductive prediction
N Tripuraneni, L Mackey
International Conference on Machine Learning, 9593-9602, 2020
7*2020
Parallelizing contextual linear bandits
J Chan, A Pacchiano, N Tripuraneni, YS Song, P Bartlett, MI Jordan
arXiv preprint arXiv:2105.10590, 2021
62021
Assessment of Treatment Effect Estimators for Heavy-Tailed Data
N Tripuraneni, D Madeka, D Foster, D Perrault-Joncas, MI Jordan
arXiv preprint arXiv:2112.07602, 2021
22021
Learning Beyond the Standard Model (of Data)
N Tripuraneni
UC Berkeley, 2022
2022
Meta-Analysis of Randomized Experiments with Applications to Heavy-Tailed Response Data
N Tripuraneni, D Madeka, D Foster, D Perrault-Joncas, MI Jordan
arXiv e-prints, arXiv: 2112.07602, 2021
2021
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