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Stochastic Methods

1,118 papers

Papers per year

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18
33
106
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Papers

Sparse Approximate Manifolds for Differential Geometric MCMC NIPS 2012
Efficient Sampling for Bipartite Matching Problems NIPS 2012
Feature Clustering for Accelerating Parallel Coordinate Descent NIPS 2012
Stochastic optimization and sparse statistical recovery: Optimal algorithms for high dimensions NIPS 2012
Entropy Estimations Using Correlated Symmetric Stable Random Projections NIPS 2012
MCMC for continuous-time discrete-state systems NIPS 2012
Risk-Aversion in Multi-armed Bandits NIPS 2012
Trajectory-Based Short-Sighted Probabilistic Planning NIPS 2012
A Stochastic Gradient Method with an Exponential Convergence _Rate for Finite Training Sets NIPS 2012
Training sparse natural image models with a fast Gibbs sampler of an extended state space NIPS 2012
Fully Bayesian inference for neural models with negative-binomial spiking NIPS 2012
Confusion-Based Online Learning and a Passive-Aggressive Scheme NIPS 2012
Stochastic Gradient Descent with Only One Projection NIPS 2012
Continuous Relaxations for Discrete Hamiltonian Monte Carlo NIPS 2012
Spectral learning of linear dynamics from generalised-linear observations with application to neural population data NIPS 2012
Entangled Monte Carlo NIPS 2012
Finite Sample Convergence Rates of Zero-Order Stochastic Optimization Methods NIPS 2012
Online allocation and homogeneous partitioning for piecewise constant mean-approximation NIPS 2012
A Stochastic Bandit Algorithm for Scratch Games ACML 2012
Adaptive Metropolis with Online Relabeling AISTATS 2012
Evaluation of marginal likelihoods via the density of states AISTATS 2012
Adaptive MCMC with Bayesian Optimization AISTATS 2012
Confidence-Weighted Linear Classification for Text Categorization JMLR 2012
Breaking the Curse of Kernelization: Budgeted Stochastic Gradient Descent for Large-Scale SVM Training JMLR 2012
Hashing Algorithms for Large-Scale Learning NIPS 2011