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Optimization

1203 directly classified papers

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Papers

Learning Hidden Markov Models from Non-sequence Data via Tensor Decomposition NIPS 2013
Trading Computation for Communication: Distributed Stochastic Dual Coordinate Ascent NIPS 2013
Minimax Optimal Algorithms for Unconstrained Linear Optimization NIPS 2013
Mixed Optimization for Smooth Functions NIPS 2013
Hierarchical Tensor Decomposition of Latent Tree Graphical Models ICML 2013
Estimation, Optimization, and Parallelism when Data is Sparse NIPS 2013
Efficient Optimization for Sparse Gaussian Process Regression NIPS 2013
The Total Variation on Hypergraphs - Learning on Hypergraphs Revisited NIPS 2013
Optimization, Learning, and Games with Predictable Sequences NIPS 2013
Toward Guaranteed Illumination Models for Non-convex Objects ICCV 2013
Joint Optimization for Consistent Multiple Graph Matching ICCV 2013
Hierarchical Data-Driven Descent for Efficient Optimal Deformation Estimation ICCV 2013
Recursive Estimation of the Stein Center of SPD Matrices and Its Applications ICCV 2013
Open Problem: Fast Stochastic Exp-Concave Optimization COLT 2013
Divide and Conquer Kernel Ridge Regression COLT 2013
Incremental Block Cholesky Factorization for Nonlinear Least Squares in Robotics RSS 2013
Greedy Feature Selection for Subspace Clustering JMLR 2013
Fast Probabilistic Optimization from Noisy Gradients ICML 2013
Stochastic Gradient Descent for Non-smooth Optimization: Convergence Results and Optimal Averaging Schemes ICML 2013
Fast Conical Hull Algorithms for Near-separable Non-negative Matrix Factorization ICML 2013
Optimal rates for stochastic convex optimization under Tsybakov noise condition ICML 2013
A General Iterative Shrinkage and Thresholding Algorithm for Non-convex Regularized Optimization Problems ICML 2013
The Cross-Entropy Method Optimizes for Quantiles ICML 2013
Recurrent networks of coupled Winner-Take-All oscillators for solving constraint satisfaction problems NIPS 2013
Designed Measurements for Vector Count Data NIPS 2013