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Optimization

14,207 papers

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Papers

Efficient Second-Order Gradient Boosting for Conditional Random Fields AISTATS 2015
Predictive Inverse Optimal Control for Linear-Quadratic-Gaussian Systems AISTATS 2015
Preserving Privacy of Continuous High-dimensional Data with Minimax Filters AISTATS 2015
A Consistent Method for Graph Based Anomaly Localization AISTATS 2015
Stochastic Structured Variational Inference AISTATS 2015
Sparse Submodular Probabilistic PCA AISTATS 2015
Sequential Kernel Herding: Frank-Wolfe Optimization for Particle Filtering AISTATS 2015
Sparsistency of \ell_1-Regularized M-Estimators AISTATS 2015
Tradeoffs for Space, Time, Data and Risk in Unsupervised Learning AISTATS 2015
Efficient Training of Structured SVMs via Soft Constraints AISTATS 2015
Robust sketching for multiple square-root LASSO problems AISTATS 2015
A Scalable Algorithm for Structured Kernel Feature Selection AISTATS 2015
Non-Uniform Stochastic Average Gradient Method for Training Conditional Random Fields AISTATS 2015
Sensor Selection for Crowdsensing Dynamical Systems AISTATS 2015
Learning from Data with Heterogeneous Noise using SGD AISTATS 2015
Data modeling with the elliptical gamma distribution AISTATS 2015
A Greedy Homotopy Method for Regression with Nonconvex Constraints AISTATS 2015
Minimizing Nonconvex Non-Separable Functions AISTATS 2015
The Log-Shift Penalty for Adaptive Estimation of Multiple Gaussian Graphical Models AISTATS 2015
Open Problem: The Oracle Complexity of Smooth Convex Optimization in Nonstandard Settings COLT 2015
Simple, Efficient, and Neural Algorithms for Sparse Coding COLT 2015
Escaping the Local Minima via Simulated Annealing: Optimization of Approximately Convex Functions COLT 2015
On-Line Learning Algorithms for Path Experts with Non-Additive Losses COLT 2015
Truthful Linear Regression COLT 2015
From Averaging to Acceleration, There is Only a Step-size COLT 2015