Stochastic Methods
1,283 papers
Papers per year
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30
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41
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61
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Papers
Covariance-Controlled Adaptive Langevin Thermostat for Large-Scale Bayesian Sampling
NeurIPS 2015
Enabling scalable stochastic gradient-based inference for Gaussian processes by employing the Unbiased LInear System SolvEr (ULISSE)
ICML 2015
Fast and Accurate Inference of Plackett–Luce Models
NeurIPS 2015
Finite-Time Analysis of Projected Langevin Monte Carlo
NeurIPS 2015
Generalized Tensor Total Variation Minimization for Visual Data Recovery
CVPR 2015
Gradient Estimation Using Stochastic Computation Graphs
NeurIPS 2015
Hilbert maps: scalable continuous occupancy mapping with stochastic gradient descent
RSS 2015
Inference in a Partially Observed Queuing Model with Applications in Ecology
ICML 2015
Joint Inference of Groups, Events and Human Roles in Aerial Videos
CVPR 2015
Learning Fast-Mixing Models for Structured Prediction
ICML 2015
Learning with Incremental Iterative Regularization
NeurIPS 2015
Local Expectation Gradients for Black Box Variational Inference
NeurIPS 2015
Local Smoothness in Variance Reduced Optimization
NeurIPS 2015
Nested Sequential Monte Carlo Methods
ICML 2015
On Identifying Good Options under Combinatorially Structured Feedback in Finite Noisy Environments
ICML 2015
On Variance Reduction in Stochastic Gradient Descent and its Asynchronous Variants
NeurIPS 2015
Particle Gibbs with Ancestor Sampling for Probabilistic Programs
AISTATS 2015
Quartz: Randomized Dual Coordinate Ascent with Arbitrary Sampling
NeurIPS 2015
Reflection, Refraction, and Hamiltonian Monte Carlo
NeurIPS 2015
Scale Up Nonlinear Component Analysis with Doubly Stochastic Gradients
NeurIPS 2015
SGD Algorithms based on Incomplete U-statistics: Large-Scale Minimization of Empirical Risk
NeurIPS 2015
Similarity-based Contrastive Divergence Methods for Energy-based Deep Learning Models
ACML 2015
Stochastic Dual Coordinate Ascent with Adaptive Probabilities
ICML 2015
Stochastic Online Greedy Learning with Semi-bandit Feedbacks
NeurIPS 2015
Stochastic Optimization with Importance Sampling for Regularized Loss Minimization
ICML 2015