conftrace_
← Optimization & Theory
Machine Learning › Optimization & Theory ›

Stochastic Processes

2,667 papers

Papers per year

2
30
60
244
157
'05
'10
'15
'20
'25

Papers

On Tracking The Partition Function NIPS 2011
Gaussian Process Training with Input Noise NIPS 2011
Variational Gaussian Process Dynamical Systems NIPS 2011
Simultaneous Sampling and Multi-Structure Fitting with Adaptive Reversible Jump MCMC NIPS 2011
Improved Algorithms for Linear Stochastic Bandits NIPS 2011
Optimal Reinforcement Learning for Gaussian Systems NIPS 2011
Quasi-Newton Methods for Markov Chain Monte Carlo NIPS 2011
Inference in continuous-time change-point models NIPS 2011
TD_gamma: Re-evaluating Complex Backups in Temporal Difference Learning NIPS 2011
Learning Probabilistic Non-Linear Latent Variable Models for Tracking Complex Activities NIPS 2011
The Fixed Points of Off-Policy TD NIPS 2011
Gaussian process modulated renewal processes NIPS 2011
A General Linear Non-Gaussian State-Space Model: Identifiability, Identification, and Applications ACML 2011
Learning Attribute-weighted Voter Model over Social Networks ACML 2011
Estimating Diffusion Probability Changes for AsIC-SIS Model from Information Diffusion Results ACML 2011
Switch-Reset Models : Exact and Approximate Inference AISTATS 2011
Parallel Gibbs Sampling: From Colored Fields to Thin Junction Trees AISTATS 2011
Estimating beta-mixing coefficients AISTATS 2011
Directional Statistics on Permutations AISTATS 2011
On the Estimation of $\alpha$-Divergences AISTATS 2011
Multicore Gibbs Sampling in Dense, Unstructured Graphs AISTATS 2011
A Bayesian Approximation Method for Online Ranking JMLR 2011
The Indian Buffet Process: An Introduction and Review JMLR 2011
On the Relation between Realizable and Nonrealizable Cases of the Sequence Prediction Problem JMLR 2011
Model-Based Proprioceptive State Estimation for Spring-Mass Running RSS 2011