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Stochastic Methods

1,118 papers

Papers per year

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33
106
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Papers

Un-regularizing: approximate proximal point and faster stochastic algorithms for empirical risk minimization ICML 2015
Hilbert maps: scalable continuous occupancy mapping with stochastic gradient descent RSS 2015
From Stochastic Mixability to Fast Rates NIPS 2014
Multi-Step Stochastic ADMM in High Dimensions: Applications to Sparse Optimization and Matrix Decomposition NIPS 2014
Delay-Tolerant Algorithms for Asynchronous Distributed Online Learning NIPS 2014
Sequential Monte Carlo for Graphical Models NIPS 2014
Stochastic Proximal Gradient Descent with Acceleration Techniques NIPS 2014
Scaling-up Importance Sampling for Markov Logic Networks NIPS 2014
Fast Sampling-Based Inference in Balanced Neuronal Networks NIPS 2014
Stochastic variational inference for hidden Markov models NIPS 2014
An Accelerated Proximal Coordinate Gradient Method NIPS 2014
Projecting Markov Random Field Parameters for Fast Mixing NIPS 2014
Asynchronous Anytime Sequential Monte Carlo NIPS 2014
Online and Stochastic Gradient Methods for Non-decomposable Loss Functions NIPS 2014
Smoothed Gradients for Stochastic Variational Inference NIPS 2014
Stochastic Gradient Descent, Weighted Sampling, and the Randomized Kaczmarz algorithm NIPS 2014
Bayesian Sampling Using Stochastic Gradient Thermostats NIPS 2014
A Filtering Approach to Stochastic Variational Inference NIPS 2014
Simultaneous Model Selection and Optimization through Parameter-free Stochastic Learning NIPS 2014
Polya-gamma augmentations for factor models ACML 2014
Towards Maximum Likelihood: Learning Undirected Graphical Models using Persistent Sequential Monte Carlo ACML 2014
Efficient Low-Rank Stochastic Gradient Descent Methods for Solving Semidefinite Programs AISTATS 2014
Black Box Variational Inference AISTATS 2014
Community Detection via Random and Adaptive Sampling COLT 2014
A second-order bound with excess losses COLT 2014