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Optimization

14,983 papers

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Papers

Preconditioned Spectral Descent for Deep Learning NIPS 2015
Accelerated Mirror Descent in Continuous and Discrete Time NIPS 2015
Accelerated Proximal Gradient Methods for Nonconvex Programming NIPS 2015
Monotone k-Submodular Function Maximization with Size Constraints NIPS 2015
Spherical Random Features for Polynomial Kernels NIPS 2015
A Dual Augmented Block Minimization Framework for Learning with Limited Memory NIPS 2015
Decomposition Bounds for Marginal MAP NIPS 2015
Maximum Margin Partial Label Learning ACML 2015
Robust Multivariate Regression with Grossly Corrupted Observations and Its Application to Personality Prediction ACML 2015
Proximal Average Approximated Incremental Gradient Method for Composite Penalty Regularized Empirical Risk Minimization ACML 2015
Regularized Policy Gradients: Direct Variance Reduction in Policy Gradient Estimation ACML 2015
One-Pass Multi-View Learning ACML 2015
Parameter Estimation of Generalized Linear Models without Assuming their Link Function AISTATS 2015
Unifying Local Consistency and MAX SAT Relaxations for Scalable Inference with Rounding Guarantees AISTATS 2015
Stochastic Spectral Descent for Restricted Boltzmann Machines AISTATS 2015
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