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Garvesh Raskutti, Ph.D. - Publications

Affiliations: 
2012 Statistics University of California, Berkeley, Berkeley, CA, United States 
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21 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2020 Dai R, Song H, Barber RF, Raskutti G. The bias of isotonic regression. Electronic Journal of Statistics. 14: 801-834. PMID 32489515 DOI: 10.1214/20-Ejs1677  0.325
2020 Kontar R, Raskutti G, Zhou S. Minimizing Negative Transfer of Knowledge in Multivariate Gaussian Processes: A Scalable and Regularized Approach. Ieee Transactions On Pattern Analysis and Machine Intelligence. PMID 32305903 DOI: 10.1109/Tpami.2020.2987482  0.343
2019 Hall EC, Raskutti G, Willett RM. Learning High-dimensional Generalized Linear Autoregressive Models. Ieee Transactions On Information Theory. 65: 2401-2422. PMID 31839683 DOI: 10.1109/Tit.2018.2884673  0.382
2019 Zheng L, Raskutti G. Testing for high-dimensional network parameters in auto-regressive models Electronic Journal of Statistics. 13: 4977-5043. DOI: 10.1214/19-Ejs1646  0.303
2019 Raskutti G, Yuan M, Chen H. Convex regularization for high-dimensional multiresponse tensor regression The Annals of Statistics. 47: 1554-1584. DOI: 10.1214/18-Aos1725  0.333
2019 Mark B, Raskutti G, Willett R. Network Estimation From Point Process Data Ieee Transactions On Information Theory. 65: 2953-2975. DOI: 10.1109/Tit.2018.2875766  0.339
2019 Zhou HH, Raskutti G. Non-Parametric Sparse Additive Auto-Regressive Network Models Ieee Transactions On Information Theory. 65: 1473-1492. DOI: 10.1109/Tit.2018.2849988  0.373
2018 Li Y, Raskutti G. Minimax Optimal Convex Methods for Poisson Inverse Problems Under $\ell_{q}$ -Ball Sparsity Ieee Transactions On Information Theory. 64: 5498-5512. DOI: 10.1109/Tit.2018.2850365  0.341
2017 Forster M, Raskutti G, Stern R, Weinberger N. The Frugal Inference of Causal Relations The British Journal For the Philosophy of Science. 69: 821-848. DOI: 10.1093/Bjps/Axw033  0.302
2015 Jiang X, Raskutti G, Willett R. Minimax optimal rates for poisson inverse problems with physical constraints Ieee Transactions On Information Theory. 61: 4458-4474. DOI: 10.1109/Tit.2015.2441072  0.345
2015 Raskutti G, Mukherjee S. The information geometry of mirror descent Ieee Transactions On Information Theory. 61: 1451-1457. DOI: 10.1109/Tit.2015.2388583  0.351
2014 Raskutti G, Wainwright MJ, Yu B. Early stopping and non-parametric regression: An optimal data-dependent stopping rule Journal of Machine Learning Research. 15: 335-366.  0.398
2013 Uhler C, Raskutti G, Bühlmann P, Yu B. Geometry of the faithfulness assumption in causal inference Annals of Statistics. 41: 436-463. DOI: 10.1214/12-Aos1080  0.349
2012 Raskutti G, Wainwright MJ, Yu B. Minimax-optimal rates for sparse additive models over kernel classes via convex programming Journal of Machine Learning Research. 13: 389-427.  0.41
2011 Ravikumar P, Wainwright MJ, Raskutti G, Yu B. High-dimensional covariance estimation by minimizing ℓ 1-penalized log-determinant divergence Electronic Journal of Statistics. 5: 935-980. DOI: 10.1214/11-Ejs631  0.495
2011 Raskutti G, Wainwright MJ, Yu B. Minimax rates of estimation for high-dimensional linear regression over ℓ q-Balls Ieee Transactions On Information Theory. 57: 6976-6994. DOI: 10.1109/Tit.2011.2165799  0.48
2011 Raskutti G, Wainwright MJ, Yu B. Early stopping for non-parametric regression: An optimal data-dependent stopping rule 2011 49th Annual Allerton Conference On Communication, Control, and Computing, Allerton 2011. 1318-1325. DOI: 10.1109/Allerton.2011.6120320  0.398
2010 Raskutti G, Wainwright MJ, Yu B. Restricted eigenvalue properties for correlated Gaussian designs Journal of Machine Learning Research. 11: 2241-2259.  0.346
2009 Raskutti G, Wainwright MJ, Yu B. Minimax rates of convergence for high-dimensional regression under ℓq-ball sparsity 2009 47th Annual Allerton Conference On Communication, Control, and Computing, Allerton 2009. 251-257. DOI: 10.1109/ALLERTON.2009.5394804  0.418
2009 Ravikumar P, Raskutti G, Wainwright MJ, Yu B. Model selection in Gaussian graphical models: High-dimensional consistency of ℓ 1-regularized MLE Advances in Neural Information Processing Systems 21 - Proceedings of the 2008 Conference. 1329-1336.  0.404
2009 Raskutti G, Wainwright MJ, Yu B. Lower bounds on minimax rates for nonparametric regression with additive sparsity and smoothness Advances in Neural Information Processing Systems 22 - Proceedings of the 2009 Conference. 1563-1570.  0.42
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