Optimization

Stochastic Gradient Descent with Only One Projection NeurIPS 2012 Stochastic optimization and sparse statistical recovery: Optimal algorithms for high dimensions NeurIPS 2012 Structured Learning of Gaussian Graphical Models NeurIPS 2012 Structured Output Learning with High Order Loss Functions AISTATS 2012 Structured Sparsity via Alternating Direction Methods JMLR 2012 Supervised Dimension Reduction with Topic Models ACML 2012 Synchronization can Control Regularization in Neural Systems via Correlated Noise Processes NeurIPS 2012 Tensor Decomposition for Fast Parsing with Latent-Variable PCFGs NeurIPS 2012 The representer theorem for Hilbert spaces: a necessary and sufficient condition NeurIPS 2012 There’s a Hole in My Data Space: Piecewise Predictors for Heterogeneous Learning Problems AISTATS 2012 Time-Optimal Trajectory Generation for Path Following with Bounded Acceleration and Velocity RSS 2012 Topology Constraints in Graphical Models NeurIPS 2012 Toward a Noncommutative Arithmetic-geometric Mean Inequality: Conjectures, Case-studies, and Consequences COLT 2012 Tractable Objectives for Robust Policy Optimization NeurIPS 2012 Trading Regret for Efficiency: Online Convex Optimization with Long Term Constraints JMLR 2012 Unified Algorithms for Online Learning and Competitive Analysis COLT 2012 Using More Data to Speed-up Training Time AISTATS 2012 Value Pursuit Iteration NeurIPS 2012 Variable Selection in High-dimensional Varying-coefficient Models with Global Optimality JMLR 2012 Volume Regularization for Binary Classification NeurIPS 2012 Weighted Likelihood Policy Search with Model Selection NeurIPS 2012 A blind sparse deconvolution method for neural spike identification NeurIPS 2011 A Brain-Machine Interface Operating with a Real-Time Spiking Neural Network Control Algorithm NeurIPS 2011 A concave regularization technique for sparse mixture models NeurIPS 2011 A Convergence Analysis of Log-Linear Training NeurIPS 2011