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Stochastic Processes

2667 directly classified papers

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Papers

Accelerated Adaptive Markov Chain for Partition Function Computation NIPS 2011
The Fixed Points of Off-Policy TD NIPS 2011
Switch-Reset Models : Exact and Approximate Inference AISTATS 2011
Directional Statistics on Permutations AISTATS 2011
Inferring spike-timing-dependent plasticity from spike train data NIPS 2011
An Application of Tree-Structured Expectation Propagation for Channel Decoding NIPS 2011
Empirical models of spiking in neural populations NIPS 2011
Periodic Finite State Controllers for Efficient POMDP and DEC-POMDP Planning NIPS 2011
Model-Based Proprioceptive State Estimation for Spring-Mass Running RSS 2011
Non-Asymptotic Analysis of Stochastic Approximation Algorithms for Machine Learning NIPS 2011
Learning Probabilistic Non-Linear Latent Variable Models for Tracking Complex Activities NIPS 2011
A General Linear Non-Gaussian State-Space Model: Identifiability, Identification, and Applications ACML 2011
From Stochastic Nonlinear Integrate-and-Fire to Generalized Linear Models NIPS 2011
Parallel Gibbs Sampling: From Colored Fields to Thin Junction Trees AISTATS 2011
TD_gamma: Re-evaluating Complex Backups in Temporal Difference Learning NIPS 2011
Inference in continuous-time change-point models NIPS 2011
Quasi-Newton Methods for Markov Chain Monte Carlo NIPS 2011
Improved Algorithms for Linear Stochastic Bandits NIPS 2011
On Tracking The Partition Function NIPS 2011
Hogwild!: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent NIPS 2011
A Brain-Machine Interface Operating with a Real-Time Spiking Neural Network Control Algorithm NIPS 2011
On the Estimation of $\alpha$-Divergences AISTATS 2011
Dynamical segmentation of single trials from population neural data NIPS 2011
Multicore Gibbs Sampling in Dense, Unstructured Graphs AISTATS 2011
Optimal Reinforcement Learning for Gaussian Systems NIPS 2011