Stochastic Methods

Gaussian Approximation of Collective Graphical Models ICML 2014 Higher-Order Regret Bounds with Switching Costs COLT 2014 Kernel Adaptive Metropolis-Hastings ICML 2014 Logistic Regression: Tight Bounds for Stochastic and Online Optimization COLT 2014 Memory (and Time) Efficient Sequential Monte Carlo ICML 2014 Multi-Step Stochastic ADMM in High Dimensions: Applications to Sparse Optimization and Matrix Decomposition NeurIPS 2014 Online and Stochastic Gradient Methods for Non-decomposable Loss Functions NeurIPS 2014 Polya-gamma augmentations for factor models ACML 2014 Preconditioning for Accelerated Iteratively Reweighted Least Squares in Structured Sparsity Reconstruction CVPR 2014 Projecting Markov Random Field Parameters for Fast Mixing NeurIPS 2014 SAGA: A Fast Incremental Gradient Method With Support for Non-Strongly Convex Composite Objectives NeurIPS 2014 Scaling-up Importance Sampling for Markov Logic Networks NeurIPS 2014 Sequential Monte Carlo for Graphical Models NeurIPS 2014 Simultaneous Model Selection and Optimization through Parameter-free Stochastic Learning NeurIPS 2014 Smoothed Gradients for Stochastic Variational Inference NeurIPS 2014 Stereo under Sequential Optimal Sampling: A Statistical Analysis Framework for Search Space Reduction CVPR 2014 Stochastic Dual Coordinate Ascent with Alternating Direction Method of Multipliers ICML 2014 Stochastic Gradient Descent, Weighted Sampling, and the Randomized Kaczmarz algorithm NeurIPS 2014 Stochastic Inference for Scalable Probabilistic Modeling of Binary Matrices ICML 2014 Stochastic Proximal Gradient Descent with Acceleration Techniques NeurIPS 2014 Stochastic Regret Minimization via Thompson Sampling COLT 2014 Stochastic variational inference for hidden Markov models NeurIPS 2014 Towards Maximum Likelihood: Learning Undirected Graphical Models using Persistent Sequential Monte Carlo ACML 2014 Towards scaling up Markov chain Monte Carlo: an adaptive subsampling approach ICML 2014 Accelerated Mini-Batch Stochastic Dual Coordinate Ascent NeurIPS 2013