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Nilesh Tripuraneni
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Year
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
1872020
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
1812023
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
1722018
Provable meta-learning of linear representations
N Tripuraneni, C Jin, M Jordan
International Conference on Machine Learning, 10434-10443, 2021
1642021
Averaging stochastic gradient descent on Riemannian manifolds
N Tripuraneni, N Flammarion, F Bach, MI Jordan
Conference on Learning Theory, 650-687, 2018
1072018
Bulk viscosity and cavitation in boost-invariant hydrodynamic expansion
K Rajagopal, N Tripuraneni
Journal of High Energy Physics 2010 (3), 1-28, 2010
672010
Magnetic hamiltonian monte carlo
N Tripuraneni, M Rowland, Z Ghahramani, R Turner
International Conference on Machine Learning, 3453-3461, 2017
432017
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
422020
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
402019
Optimal robust linear regression in nearly linear time
Y Cherapanamjeri, E Aras, N Tripuraneni, MI Jordan, N Flammarion, ...
arXiv preprint arXiv:2007.08137, 2020
382020
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
352021
Lost relatives of the Gumbel trick
M Balog, N Tripuraneni, Z Ghahramani, A Weller
International Conference on Machine Learning, 371-379, 2017
302017
Particle Gibbs for infinite hidden Markov models
N Tripuraneni, SS Gu, H Ge, Z Ghahramani
Advances in Neural Information Processing Systems 28, 2015
252015
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
252013
Optimal mean estimation without a variance
Y Cherapanamjeri, N Tripuraneni, P Bartlett, M Jordan
Conference on Learning Theory, 356-357, 2022
222022
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
222017
Covariate shift in high-dimensional random feature regression
N Tripuraneni, B Adlam, J Pennington
arXiv preprint arXiv:2111.08234, 2021
212021
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
122013
Pretraining data mixtures enable narrow model selection capabilities in transformer models
S Yadlowsky, L Doshi, N Tripuraneni
arXiv preprint arXiv:2311.00871, 2023
112023
Single point transductive prediction
N Tripuraneni, L Mackey
International Conference on Machine Learning, 9593-9602, 2020
9*2020
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