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Optimization

14,983 papers

Papers per year

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342
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Papers

Sparse Additive Machine AISTATS 2012
Approximate Inference in Additive Factorial HMMs with Application to Energy Disaggregation AISTATS 2012
Unified Algorithms for Online Learning and Competitive Analysis COLT 2012
Online Optimization with Gradual Variations COLT 2012
Reconstruction from Anisotropic Random Measurements COLT 2012
Toward a Noncommutative Arithmetic-geometric Mean Inequality: Conjectures, Case-studies, and Consequences COLT 2012
Differentially Private Online Learning COLT 2012
Private Convex Empirical Risk Minimization and High-dimensional Regression COLT 2012
A Conjugate Property between Loss Functions and Uncertainty Sets in Classification Problems COLT 2012
Near-Optimal Algorithms for Online Matrix Prediction COLT 2012
Open Problem: Is Averaging Needed for Strongly Convex Stochastic Gradient Descent? COLT 2012
Optimal Distributed Online Prediction Using Mini-Batches JMLR 2012
Multi Kernel Learning with Online-Batch Optimization JMLR 2012
Random Search for Hyper-Parameter Optimization JMLR 2012
Online Learning in the Embedded Manifold of Low-rank Matrices JMLR 2012
A Primal-Dual Convergence Analysis of Boosting JMLR 2012
Exact Covariance Thresholding into Connected Components for Large-Scale Graphical Lasso JMLR 2012
Sampling Methods for the Nyström Method JMLR 2012
Positive Semidefinite Metric Learning Using Boosting-like Algorithms JMLR 2012
A Multi-Stage Framework for Dantzig Selector and LASSO JMLR 2012
Structured Sparsity via Alternating Direction Methods JMLR 2012
Estimation and Selection via Absolute Penalized Convex Minimization And Its Multistage Adaptive Applications JMLR 2012
Regularization Techniques for Learning with Matrices JMLR 2012
Variable Selection in High-dimensional Varying-coefficient Models with Global Optimality JMLR 2012
An Improved GLMNET for L1-regularized Logistic Regression JMLR 2012