Optimization

Recovering the Optimal Solution by Dual Random Projection COLT 2013 Recurrent networks of coupled Winner-Take-All oscillators for solving constraint satisfaction problems NeurIPS 2013 Recursive Estimation of the Stein Center of SPD Matrices and Its Applications ICCV 2013 Scalable Influence Estimation in Continuous-Time Diffusion Networks NeurIPS 2013 Sketching Structured Matrices for Faster Nonlinear Regression NeurIPS 2013 Solving inverse problem of Markov chain with partial observations NeurIPS 2013 Stochastic Gradient Descent for Non-smooth Optimization: Convergence Results and Optimal Averaging Schemes ICML 2013 Stochastic Majorization-Minimization Algorithms for Large-Scale Optimization NeurIPS 2013 The Cross-Entropy Method Optimizes for Quantiles ICML 2013 The Fast Convergence of Incremental PCA NeurIPS 2013 The Total Variation on Hypergraphs - Learning on Hypergraphs Revisited NeurIPS 2013 Toward Guaranteed Illumination Models for Non-convex Objects ICCV 2013 Trading Computation for Communication: Distributed Stochastic Dual Coordinate Ascent NeurIPS 2013 Active Learning of Multi-Index Function Models NeurIPS 2012 A Divide-and-Conquer Method for Sparse Inverse Covariance Estimation NeurIPS 2012 A new metric on the manifold of kernel matrices with application to matrix geometric means NeurIPS 2012 Approximating Concavely Parameterized Optimization Problems NeurIPS 2012 A quasi-Newton proximal splitting method NeurIPS 2012 A Unifying Perspective of Parametric Policy Search Methods for Markov Decision Processes NeurIPS 2012 Clustering by Nonnegative Matrix Factorization Using Graph Random Walk NeurIPS 2012 Complexity of Bethe Approximation AISTATS 2012 Convergence and Energy Landscape for Cheeger Cut Clustering NeurIPS 2012 Data dependent kernels in nearly-linear time AISTATS 2012 Fast Approximation of Matrix Coherence and Statistical Leverage JMLR 2012 Feature Clustering for Accelerating Parallel Coordinate Descent NeurIPS 2012