Stochastic Methods

Frequency Estimation from Waveforms Using Multi-Layered Neural Networks Interspeech 2016 Generalization of ERM in Stochastic Convex Optimization: The Dimension Strikes Back NeurIPS 2016 Highway Vehicle Counting in Compressed Domain CVPR 2016 How to Fake Multiply by a Gaussian Matrix ICML 2016 Improved SVRG for Non-Strongly-Convex or Sum-of-Non-Convex Objectives ICML 2016 Improving Structure MCMC for Bayesian Networks through Markov Blanket Resampling JMLR 2016 Interacting Particle Markov Chain Monte Carlo ICML 2016 Iterative Hessian Sketch: Fast and Accurate Solution Approximation for Constrained Least-Squares JMLR 2016 Learning Simple Auctions COLT 2016 Learning Supervised PageRank with Gradient-Based and Gradient-Free Optimization Methods NeurIPS 2016 Local Minimax Complexity of Stochastic Convex Optimization NeurIPS 2016 Loss Bounds and Time Complexity for Speed Priors AISTATS 2016 Maximizing Influence in an Ising Network: A Mean-Field Optimal Solution NeurIPS 2016 Minimax Adaptive Estimation of Nonparametric Hidden Markov Models JMLR 2016 Monte Carlo Markov Chain Algorithms for Sampling Strongly Rayleigh Distributions and Determinantal Point Processes COLT 2016 Multi-Player Bandits – a Musical Chairs Approach ICML 2016 Multistage Campaigning in Social Networks NeurIPS 2016 Nested Mini-Batch K-Means NeurIPS 2016 Nonparametric Budgeted Stochastic Gradient Descent AISTATS 2016 One Scan 1-Bit Compressed Sensing AISTATS 2016 One-vs-Each Approximation to Softmax for Scalable Estimation of Probabilities NeurIPS 2016 Online Learning with Feedback Graphs Without the Graphs ICML 2016 On the Complexity of Best-Arm Identification in Multi-Armed Bandit Models JMLR 2016 On the Influence of Momentum Acceleration on Online Learning JMLR 2016 Optimal Best Arm Identification with Fixed Confidence COLT 2016