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Stochastic Processes

438 papers

Papers per year

7
9
29
16
'10
'15
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'25

Papers

Spectral Learning of Dynamic Systems from Nonequilibrium Data NIPS 2016
Adaptive Concentration Inequalities for Sequential Decision Problems NIPS 2016
Completely random measures for modelling block-structured sparse networks NIPS 2016
Reconstructing Parameters of Spreading Models from Partial Observations NIPS 2016
Consistent Kernel Mean Estimation for Functions of Random Variables NIPS 2016
On Mixtures of Markov Chains NIPS 2016
Estimating the Size of a Large Network and its Communities from a Random Sample NIPS 2016
Multistage Campaigning in Social Networks NIPS 2016
Optimal Tagging with Markov Chain Optimization NIPS 2016
Learning and Forecasting Opinion Dynamics in Social Networks NIPS 2016
Simulation and Calibration of a Fully Bayesian Marked Multidimensional Hawkes Process with Dissimilar Decays ACML 2016
Bayesian Generalised Ensemble Markov Chain Monte Carlo AISTATS 2016
Bayesian Language Model based on Mixture of Segmental Contexts for Spontaneous Utterances with Unexpected Words COLING 2016
Hawkes Processes with Stochastic Excitations ICML 2016
Exact Exponent in Optimal Rates for Crowdsourcing ICML 2016
Ensuring Rapid Mixing and Low Bias for Asynchronous Gibbs Sampling ICML 2016
Isotonic Hawkes Processes ICML 2016
Scalable Discrete Sampling as a Multi-Armed Bandit Problem ICML 2016
Slice Sampling on Hamiltonian Trajectories ICML 2016
Likelihood Ratio Calculation in Acoustic-Phonetic Forensic Voice Comparison: Comparison of Three Statistical Modelling Approaches INTERSPEECH 2016
The Statistical Performance of Collaborative Inference JMLR 2016
Mutual Information Based Matching for Causal Inference with Observational Data JMLR 2016
Infinite Factorial Dynamical Model NIPS 2015
Fast and Accurate Inference of Plackett–Luce Models NIPS 2015
Testing Closeness With Unequal Sized Samples NIPS 2015