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Tripuraneni, Nilesh
24  Ergebnisse:
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1

Algorithms for heavy-tailed statistics: regression, covaria..:

, In: Proceedings of the 52nd Annual ACM SIGACT Symposium on Theory of Computing,
Cherapanamjeri, Yeshwanth ; Hopkins, Samuel B. ; Kathuria, Tarun.. - p. 601-609 , 2020
Link: https://dl.acm.org/doi/1..
 
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2

Quantitative criticism of literary relationships:

Dexter, Joseph P. ; Katz, Theodore ; Tripuraneni, Nilesh...
Proceedings of the National Academy of Sciences.  114 (2017)  16 - p. , 2017
Link: https://doi.org/10.1073/..
 
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3

Quantitative criticism of literary relationships:

Dexter, Joseph P. ; Katz, Theodore ; Tripuraneni, Nilesh...
Proceedings of the National Academy of Sciences of the United States of America.  114 (2017)  16 - p. E3195-E3204 , 2017
Link: https://www.jstor.org/st..
 
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4

Pretraining Data Mixtures Enable Narrow Model Selection Cap..:

Yadlowsky, Steve ; Doshi, Lyric ; Tripuraneni, Nilesh
http://arxiv.org/abs/2311.00871.  , 2023
Link: http://arxiv.org/abs/231..
 
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5

Choosing a Proxy Metric from Past Experiments:

Tripuraneni, Nilesh ; Richardson, Lee ; D'Amour, Alexander..
http://arxiv.org/abs/2309.07893.  , 2023
Link: http://arxiv.org/abs/230..
 
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6

Learning Beyond the Standard Model (of Data):

Tripuraneni, Nilesh
qt5vn1z529.  , 2022
Link: https://escholarship.org..
 
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7

Parallelizing Contextual Bandits:

Chan, Jeffrey ; Pacchiano, Aldo ; Tripuraneni, Nilesh...
http://arxiv.org/abs/2105.10590.  , 2021
Link: http://arxiv.org/abs/210..
 
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8

Meta-Analysis of Randomized Experiments with Applications t..:

Tripuraneni, Nilesh ; Madeka, Dhruv ; Foster, Dean..
http://arxiv.org/abs/2112.07602.  , 2021
Link: http://arxiv.org/abs/211..
 
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9

Covariate Shift in High-Dimensional Random Feature Regressi..:

Tripuraneni, Nilesh ; Adlam, Ben ; Pennington, Jeffrey
http://arxiv.org/abs/2111.08234.  , 2021
Link: http://arxiv.org/abs/211..
 
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10

Provable Meta-Learning of Linear Representations:

Tripuraneni, Nilesh ; Jin, Chi ; Jordan, Michael I
http://arxiv.org/abs/2002.11684.  , 2020
Link: http://arxiv.org/abs/200..
 
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11

Optimal Mean Estimation without a Variance:

Cherapanamjeri, Yeshwanth ; Tripuraneni, Nilesh ; Bartlett, Peter L.
http://arxiv.org/abs/2011.12433.  , 2020
Link: http://arxiv.org/abs/201..
 
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12

Optimal Robust Linear Regression in Nearly Linear Time:

Cherapanamjeri, Yeshwanth ; Aras, Efe ; Tripuraneni, Nilesh...
http://arxiv.org/abs/2007.08137.  , 2020
Link: http://arxiv.org/abs/200..
 
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13

On the Theory of Transfer Learning: The Importance of Task ..:

Tripuraneni, Nilesh ; Jordan, Michael I ; Jin, Chi
http://arxiv.org/abs/2006.11650.  , 2020
Link: http://arxiv.org/abs/200..
 
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14

Single Point Transductive Prediction:

Tripuraneni, Nilesh ; Mackey, Lester
http://arxiv.org/abs/1908.02341.  , 2019
Link: http://arxiv.org/abs/190..
 
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15

Algorithms for Heavy-Tailed Statistics: Regression, Covaria..:

Cherapanamjeri, Yeshwanth ; Hopkins, Samuel B ; Kathuria, Tarun..
http://arxiv.org/abs/1912.11071.  , 2019
Link: http://arxiv.org/abs/191..
 
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