Garvesh Raskutti, Ph.D.
Affiliations: | 2012 | Statistics | University of California, Berkeley, Berkeley, CA, United States |
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"Garvesh Raskutti"Mean distance: 15.98 (cluster 29) | S | N | B | C | P |
Parents
Sign in to add mentor| Martin Wainwright | grad student | 2012 | UC Berkeley | |
| (Large-scale sparse regression models under weak assumptions.) | ||||
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Publications
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| Dai R, Song H, Barber RF, et al. (2020) The bias of isotonic regression. Electronic Journal of Statistics. 14: 801-834 |
| Kontar R, Raskutti G, Zhou S. (2020) Minimizing Negative Transfer of Knowledge in Multivariate Gaussian Processes: A Scalable and Regularized Approach. Ieee Transactions On Pattern Analysis and Machine Intelligence |
| Hall EC, Raskutti G, Willett RM. (2019) Learning High-dimensional Generalized Linear Autoregressive Models. Ieee Transactions On Information Theory. 65: 2401-2422 |
| Zheng L, Raskutti G. (2019) Testing for high-dimensional network parameters in auto-regressive models Electronic Journal of Statistics. 13: 4977-5043 |
| Raskutti G, Yuan M, Chen H. (2019) Convex regularization for high-dimensional multiresponse tensor regression The Annals of Statistics. 47: 1554-1584 |
| Mark B, Raskutti G, Willett R. (2019) Network Estimation From Point Process Data Ieee Transactions On Information Theory. 65: 2953-2975 |
| Zhou HH, Raskutti G. (2019) Non-Parametric Sparse Additive Auto-Regressive Network Models Ieee Transactions On Information Theory. 65: 1473-1492 |
| Li Y, Raskutti G. (2018) Minimax Optimal Convex Methods for Poisson Inverse Problems Under |
| Forster M, Raskutti G, Stern R, et al. (2017) The Frugal Inference of Causal Relations The British Journal For the Philosophy of Science. 69: 821-848 |
| Jiang X, Raskutti G, Willett R. (2015) Minimax optimal rates for poisson inverse problems with physical constraints Ieee Transactions On Information Theory. 61: 4458-4474 |