Stochastic Methods

The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian Monte Carlo JMLR 2014 Tight Bounds for Influence in Diffusion Networks and Application to Bond Percolation and Epidemiology NeurIPS 2014 Towards an optimal stochastic alternating direction method of multipliers ICML 2014 Towards building a Crowd-Sourced Sky Map AISTATS 2014 Towards Minimax Online Learning with Unknown Time Horizon ICML 2014 Towards scaling up Markov chain Monte Carlo: an adaptive subsampling approach ICML 2014 Accelerating Stochastic Gradient Descent using Predictive Variance Reduction NeurIPS 2013 Active Learning for Multi-Objective Optimization ICML 2013 A Fully-Connected Layered Model of Foreground and Background Flow CVPR 2013 Analyzing Hogwild Parallel Gaussian Gibbs Sampling NeurIPS 2013 Approximating the Permanent with Fractional Belief Propagation JMLR 2013 A Randomized Mirror Descent Algorithm for Large Scale Multiple Kernel Learning ICML 2013 A simple sketching algorithm for entropy estimation over streaming data AISTATS 2013 A Statistical Model for Recreational Trails in Aerial Images CVPR 2013 Automatic Online Calibration of Cameras and Lasers RSS 2013 Blind Calibration in Compressed Sensing using Message Passing Algorithms NeurIPS 2013 Combinatorial Multi-Armed Bandit: General Framework and Applications ICML 2013 Data-driven Distributionally Robust Polynomial Optimization NeurIPS 2013 Dimension Independent Similarity Computation JMLR 2013 Discovering the Structure of a Planar Mirror System from Multiple Observations of a Single Point CVPR 2013 Distributed and Adaptive Darting Monte Carlo through Regenerations AISTATS 2013 Dual Averaging and Proximal Gradient Descent for Online Alternating Direction Multiplier Method ICML 2013 Dynamic Scaled Sampling for Deterministic Constraints AISTATS 2013 Embed and Project: Discrete Sampling with Universal Hashing NeurIPS 2013 Estimation, Optimization, and Parallelism when Data is Sparse NeurIPS 2013