pcarbo's lasso [13 articles] Export Sort

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	Bayesian Variable Selection in Linear Regression [My Copy] Journal of the American Statistical Association, Vol. 83, No. 404. (1988), pp. 1023-1032. by T. J. Mitchell, J. J. Beauchamp posted to variable-selection lasso graphical-models bayesian by pcarbo on 2009-10-26 20:15:32 as along with 1 person engelhardt
	Laplace's 1774 Memoir on Inverse Probability [My Copy] Statistical Science, Vol. 1, No. 3. (1986), pp. 359-363. by Stephen M. Stigler posted to bayesian lasso probability by pcarbo on 2009-04-28 00:18:22 as
	Scalable training of <i>L</i><inf>1</inf>-regularized log-linear models [My Copy] In ICML '07: Proceedings of the 24th international conference on Machine learning (2007), pp. 33-40. by Galen Andrew, Jianfeng Gao posted to lasso optimization projected-gradient by pcarbo on 2008-11-19 00:39:06 as along with 1 person ima
	An Efficient Newton Barrier Method for Minimizing a Sum of Euclidean Norms [My Copy] SIAM Journal on Optimization, Vol. 6, No. 1. (1996), pp. 74-95. by Knud D. Andersen posted to interior-point-methods lasso optimization by pcarbo on 2008-11-12 19:57:58 as
	Efficient projections onto the L1-ball for learning in high dimensions [My Copy] In ICML '08: Proceedings of the 25th international conference on Machine learning (2008), pp. 272-279. by John Duchi, Shai S. Shwartz, Yoram Singer, Tushar Chandra posted to lasso optimization projected-gradient by pcarbo on 2008-10-21 22:13:03 as along with 1 person ddahlem
	An Efficient Primal-Dual Interior-Point Method for Minimizing a Sum of Euclidean Norms [My Copy] SIAM Journal on Scientific Computing, Vol. 22, No. 1. (2000), pp. 243-262. by Knud D. Andersen, Edmund Christiansen, Andrew R. Conn, Michael L. Overton posted to interior-point-methods lasso optimization by pcarbo on 2008-09-17 20:55:22 as
	Gradient Projection for Sparse Reconstruction: Application to Compressed Sensing and Other Inverse Problems [My Copy] Selected Topics in Signal Processing, IEEE Journal of In Selected Topics in Signal Processing, IEEE Journal of, Vol. 1, No. 4. (2007), pp. 586-597. by M. A. T. Figueiredo, R. D. Nowak, S. J. Wright posted to lasso optimization regression by pcarbo on 2008-05-22 02:32:30 as along with 2 people fastjoe23 daniel51
	Large-Scale Bayesian Logistic Regression for Text Categorization [My Copy] Technometrics, Vol. 49, No. 3. (August 2007), pp. 291-304. by Genkin, Alexander, Lewis, D. David, Madigan, David posted to bayesian classification lasso logistic-regression by pcarbo on 2008-05-08 02:21:00 as along with 2 people pprett yaroslavvb
	Adaptive sparseness for supervised learning [My Copy] Pattern Analysis and Machine Intelligence, IEEE Transactions on In Pattern Analysis and Machine Intelligence, IEEE Transactions on, Vol. 25, No. 9. (2003), pp. 1150-1159. by M. A. T. Figueiredo posted to bayesian expectation-maximization lasso supervised-learning by pcarbo on 2008-04-21 18:51:46 as
	Atomic Decomposition by Basis Pursuit [My Copy] SIAM Review, Vol. 43, No. 1. (2001), pp. 129-159. by Scott S. Chen, David L. Donoho, Michael A. Saunders posted to lasso optimization wavelets by pcarbo on 2008-04-21 18:46:51 as
	Regression Shrinkage and Selection via the Lasso [My Copy] Journal of the Royal Statistical Society, Series B, Vol. 58, No. 1. (1996), pp. 267-288. by Robert Tibshirani posted to bayesian lasso regression by pcarbo on 2008-04-21 18:18:02 as
	Discussion: a tale of three cousins: lasso, L2boosting and Dantzig [My Copy] Annals of Statistics, Vol. 35, No. 6. (2007), pp. 2373-2384. by N. Meinshausen, G. Rocha, B. Yu posted to boosting lasso regression by pcarbo on 2008-04-21 18:05:05 as
	An Interior-Point Method for Large-Scale L1-Regularized Logistic Regression [My Copy] J. Mach. Learn. Res., Vol. 8 (2007), pp. 1519-1555. by Kwangmoo Koh, Seung-Jean Kim, Stephen Boyd posted to interior-point-methods lasso optimization regression by pcarbo on 2008-04-12 00:08:13 as along with 1 person daniel51

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pcarbo's lasso [13 articles] Export Sort

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