Stochastic Methods

Sampling from Non-Log-Concave Distributions via Variance-Reduced Gradient Langevin Dynamics AISTATS 2019 Sampling from Stochastic Finite Automata with Applications to CTC Decoding Interspeech 2019 Scalable Approximations for Generalized Linear Problems JMLR 2019 Scalable Metropolis-Hastings for Exact Bayesian Inference with Large Datasets ICML 2019 Scaling-Up Split-Merge MCMC with Locality Sensitive Sampling (LSS) AAAI 2019 Scheduling Jobs with Stochastic Processing Time on Parallel Identical Machines IJCAI 2019 SDRSAC: Semidefinite-Based Randomized Approach for Robust Point Cloud Registration Without Correspondences CVPR 2019 SGD: General Analysis and Improved Rates ICML 2019 SGD without Replacement: Sharper Rates for General Smooth Convex Functions ICML 2019 Sharp Analysis for Nonconvex SGD Escaping from Saddle Points COLT 2019 Sharpness of the Satisfiability Threshold for Non-Uniform Random k-SAT IJCAI 2019 Shenango: Achieving High CPU Efficiency for Latency-sensitive Datacenter Workloads NSDI 2019 Sinkhorn AutoEncoders UAI 2019 Small Steps and Giant Leaps: Minimal Newton Solvers for Deep Learning ICCV 2019 SMOGS: Social Network Metrics of Game Success AISTATS 2019 Space and Time Efficient Kernel Density Estimation in High Dimensions NeurIPS 2019 Space lower bounds for linear prediction in the streaming model COLT 2019 Sparse High-Dimensional Isotonic Regression NeurIPS 2019 Speech Separation Using Independent Vector Analysis with an Amplitude Variable Gaussian Mixture Model Interspeech 2019 SpHMC: Spectral Hamiltonian Monte Carlo AAAI 2019 SpiderBoost and Momentum: Faster Variance Reduction Algorithms NeurIPS 2019 SSRGD: Simple Stochastic Recursive Gradient Descent for Escaping Saddle Points NeurIPS 2019 Stable and Practical AS Relationship Inference with ProbLink NSDI 2019 State Aggregation Learning from Markov Transition Data NeurIPS 2019 Statistical-Computational Tradeoff in Single Index Models NeurIPS 2019