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Journal of Machine Learning Research
Results: 283

#	Item
221	Journal of Machine Learning Research[removed]627 Submitted 10/13; Revised 12/13; Published 2/14 Adaptivity of Averaged Stochastic Gradient Descent to Local Strong Convexity for Logistic Regression Add to Reading List Source URL: jmlr.org Language: English - Date: 2014-02-24 23:29:33 Big O notation Estimation theory Statistics Mathematics Stochastic approximation Stochastic optimization
222	Journal of Machine Learning Research[removed]2312 Submitted 7/13; Revised 11/13; Published[removed]A Tensor Approach to Learning Mixed Membership Community Models Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2014-11-25 10:45:19 Community structure Tensor Random graph Markov chain Mathematics Probability and statistics Statistical models Statistics Networks Graph theory
223	Journal of Machine Learning Research[removed]) ??-?? Submitted[removed]; Revised[removed]; Published[removed]Efficient Online and Batch Learning using Forward Backward Splitting Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2009-12-18 19:57:35 Convex analysis Subgradient method Convex optimization Lipschitz continuity Subderivative Convex function Gradient descent Continuous function Vector space Mathematical analysis Mathematical optimization Mathematics
224	Journal of Machine Learning Research[removed]1859 Submitted 5/06; Revised 8/06; Published 9/06 Estimating the “Wrong” Graphical Model: Benefits in the Computation-Limited Setting Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2006-09-13 18:29:49 M-estimators Maximum likelihood Exponential family Cumulant Sufficient statistic Expectation–maximization algorithm Statistics Estimation theory Statistical theory
225	Journal of Machine Learning Research[removed]427 Submitted 8/10; Revised 12/11; Published 2/12 Minimax-Optimal Rates For Sparse Additive Models Over Kernel Classes Via Convex Programming Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2012-03-03 12:39:19 Physics Mathematics Reproducing kernel Hilbert space Positive-definite kernel Fourier series Kernel Hilbert transform Positive-definite function on a group Operator theory Hilbert space Mathematical analysis
226	Journal of Machine Learning Research[removed]1697 Submitted 9/10; Revised 12/11; Published 5/12 Restricted Strong Convexity and Weighted Matrix Completion: Optimal Bounds with Noise Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2012-06-05 00:45:55 Estimation theory Matrix theory Matrix Singular value decomposition Estimator Trace Linear regression Rank M-estimator Algebra Mathematics Linear algebra
227	Journal of Machine Learning Research[removed]2835 Submitted 12/12; Revised 6/13; Published 9/13 Belief Propagation for Continuous State Spaces: Stochastic Message-Passing with Quantitative Guarantees Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2013-10-28 23:54:24 Graphical models Operations research Belief propagation Coding theory Probability theory Logarithm Projection Randomized algorithm Dynamic programming Mathematics Mathematical analysis Theoretical computer science
228	Journal of Machine Learning Research[removed]1080 Submitted 10/08; Revised 12/09; Published 3/10 Message-passing for Graph-structured Linear Programs: Proximal Methods and Rounding Schemes Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2010-04-09 15:03:36 Operations research Convex optimization Convex analysis Bregman divergence Linear programming relaxation Randomized rounding Relaxation Convex function Duality Mathematical optimization Mathematics Linear programming
229	Journal of Machine Learning Research[removed]366 Submitted 8/13; Revised 12/13; Published 1/14 Early Stopping and Non-parametric Regression: An Optimal Data-dependent Stopping Rule Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2014-03-05 23:58:24 Hilbert space Operator theory Regression analysis Econometrics Kernel regression Reproducing kernel Hilbert space Least squares Kernel Positive-definite kernel Statistics Non-parametric statistics Mathematics
230	Journal of Machine Learning Research[removed]2259 Submitted 3/10; Revised 8/10; Published 8/10 Restricted Eigenvalue Properties for Correlated Gaussian Designs Garvesh Raskutti Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2010-09-03 17:37:06 Regression analysis Estimation theory Data analysis Multivariate normal distribution Linear regression Covariance matrix Variance Covariance Eigenvalues and eigenvectors Statistics Econometrics Probability theory

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