Stochastic Methods

Dynamic Resource Allocation for Optimizing Population Diffusion AISTATS 2014 Efficient Continuous-Time Markov Chain Estimation ICML 2014 Evolutionary Quasi-random Search for Hand Articulations Tracking CVPR 2014 Extremal Mechanisms for Local Differential Privacy NeurIPS 2014 Extreme bandits NeurIPS 2014 Fast and Robust Least Squares Estimation in Corrupted Linear Models NeurIPS 2014 Fast large-scale optimization by unifying stochastic gradient and quasi-Newton methods ICML 2014 Fast MRF Optimization with Application to Depth Reconstruction CVPR 2014 Fast Stochastic Alternating Direction Method of Multipliers ICML 2014 From Stochastic Mixability to Fast Rates NeurIPS 2014 Gaussian Process Optimization with Mutual Information ICML 2014 Globally Convergent Parallel MAP LP Relaxation Solver using the Frank-Wolfe Algorithm ICML 2014 Gradient Hard Thresholding Pursuit for Sparsity-Constrained Optimization ICML 2014 Heavy-tailed regression with a generalized median-of-means ICML 2014 Higher-Order Regret Bounds with Switching Costs COLT 2014 Influence Function Learning in Information Diffusion Networks ICML 2014 Kernel Adaptive Metropolis-Hastings ICML 2014 Learning Time-Varying Coverage Functions NeurIPS 2014 Learning without concentration COLT 2014 Linear and Parallel Learning of Markov Random Fields ICML 2014 Low-density Parity Constraints for Hashing-Based Discrete Integration ICML 2014 Lower Bounds for the Gibbs Sampler over Mixtures of Gaussians ICML 2014 Methods of Moments for Learning Stochastic Languages: Unified Presentation and Empirical Comparison ICML 2014 Multi-period Trading Prediction Markets with Connections to Machine Learning ICML 2014 Multi-Step Stochastic ADMM in High Dimensions: Applications to Sparse Optimization and Matrix Decomposition NeurIPS 2014