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Optimization

14,983 papers

Papers per year

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Papers

There’s a Hole in My Data Space: Piecewise Predictors for Heterogeneous Learning Problems AISTATS 2012
Generic Methods for Optimization-Based Modeling AISTATS 2012
Lifted coordinate descent for learning with trace-norm regularization AISTATS 2012
Regularization Paths with Guarantees for Convex Semidefinite Optimization AISTATS 2012
SpeedBoost: Anytime Prediction with Uniform Near-Optimality AISTATS 2012
A Simple Geometric Interpretation of SVM using Stochastic Adversaries AISTATS 2012
Adaptive MCMC with Bayesian Optimization AISTATS 2012
Lifted Linear Programming AISTATS 2012
Approximate Inference by Intersecting Semidefinite Bound and Local Polytope AISTATS 2012
Part & Clamp: Efficient Structured Output Learning AISTATS 2012
Fast interior-point inference in high-dimensional sparse, penalized state-space models AISTATS 2012
Age-Layered Expectation Maximization for Parameter Learning in Bayesian Networks AISTATS 2012
Infinite-Dimensional Kalman Filtering Approach to Spatio-Temporal Gaussian Process Regression AISTATS 2012
Fast Variational Bayesian Inference for Non-Conjugate Matrix Factorization Models AISTATS 2012
Using More Data to Speed-up Training Time AISTATS 2012
Sparsistency of the Edge Lasso over Graphs AISTATS 2012
Efficient and Exact MAP-MRF Inference using Branch and Bound AISTATS 2012
Fast Learning Rate of Multiple Kernel Learning: Trade-Off between Sparsity and Smoothness AISTATS 2012
Lifted Variable Elimination with Arbitrary Constraints AISTATS 2012
Structured Output Learning with High Order Loss Functions AISTATS 2012
Krylov Subspace Descent for Deep Learning AISTATS 2012
Generalized Optimal Reverse Prediction AISTATS 2012
Statistical Optimization in High Dimensions AISTATS 2012
Perturbation based Large Margin Approach for Ranking AISTATS 2012
Forward Basis Selection for Sparse Approximation over Dictionary AISTATS 2012