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Stochastic Processes

2667 directly classified papers

Papers per year

Papers

Bridging the Gap between Stochastic Gradient MCMC and Stochastic Optimization AISTATS 2016
Principled Parallel Mean-Field Inference for Discrete Random Fields CVPR 2016
Multi-armed Bandits: Competing with Optimal Sequences NIPS 2016
Patches, Planes and Probabilities: A Non-Local Prior for Volumetric 3D Reconstruction CVPR 2016
Near-Optimal Smoothing of Structured Conditional Probability Matrices NIPS 2016
Regret Analysis of the Finite-Horizon Gittins Index Strategy for Multi-Armed Bandits COLT 2016
Scan Order in Gibbs Sampling: Models in Which it Matters and Bounds on How Much NIPS 2016
Infinite Hidden Semi-Markov Modulated Interaction Point Process NIPS 2016
Online Isotonic Regression COLT 2016
Input-Output Non-Linear Dynamical Systems applied to Physiological Condition Monitoring MLHC 2016
Stochastic Gradient Geodesic MCMC Methods NIPS 2016
Cornering Stationary and Restless Mixing Bandits with Remix-UCB NIPS 2015
Probabilistic Curve Learning: Coulomb Repulsion and the Electrostatic Gaussian Process NIPS 2015
Particle Gibbs for Infinite Hidden Markov Models NIPS 2015
A Theory of Decision Making Under Dynamic Context NIPS 2015
Robust Spectral Inference for Joint Stochastic Matrix Factorization NIPS 2015
Exploiting Symmetries to Construct Efficient MCMC Algorithms With an Application to SLAM AISTATS 2015
Sampling from Probabilistic Submodular Models NIPS 2015
Gradient Estimation Using Stochastic Computation Graphs NIPS 2015
Learning from Data with Heterogeneous Noise using SGD AISTATS 2015
The Brain Uses Reliability of Stimulus Information when Making Perceptual Decisions NIPS 2015
Reflection, Refraction, and Hamiltonian Monte Carlo NIPS 2015
Rapidly Mixing Gibbs Sampling for a Class of Factor Graphs Using Hierarchy Width NIPS 2015
Maximum Likelihood Learning With Arbitrary Treewidth via Fast-Mixing Parameter Sets NIPS 2015
Sample Complexity Bounds for Iterative Stochastic Policy Optimization NIPS 2015