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Stochastic Processes

373 directly classified papers

Papers per year

Papers

Stochastic Bouncy Particle Sampler ICML 2017
Ensuring Rapid Mixing and Low Bias for Asynchronous Gibbs Sampling ICML 2016
Exact Exponent in Optimal Rates for Crowdsourcing ICML 2016
Hawkes Processes with Stochastic Excitations ICML 2016
Likelihood Ratio Calculation in Acoustic-Phonetic Forensic Voice Comparison: Comparison of Three Statistical Modelling Approaches INTERSPEECH 2016
Mutual Information Based Matching for Causal Inference with Observational Data JMLR 2016
The Statistical Performance of Collaborative Inference JMLR 2016
Bayesian Generalised Ensemble Markov Chain Monte Carlo AISTATS 2016
Edge-exchangeable graphs and sparsity 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
Estimating the Size of a Large Network and its Communities from a Random Sample NIPS 2016
Optimal Tagging with Markov Chain Optimization NIPS 2016
Simulation and Calibration of a Fully Bayesian Marked Multidimensional Hawkes Process with Dissimilar Decays ACML 2016
Slice Sampling on Hamiltonian Trajectories ICML 2016
Scalable Discrete Sampling as a Multi-Armed Bandit Problem ICML 2016
Isotonic Hawkes Processes ICML 2016
Fast and Accurate Inference of Plackett–Luce Models NIPS 2015
Fast Bidirectional Probability Estimation in Markov Models NIPS 2015
Human Memory Search as Initial-Visit Emitting Random Walk NIPS 2015
MCMC Learning COLT 2015
Mixing Time Estimation in Reversible Markov Chains from a Single Sample Path NIPS 2015
Testing Closeness With Unequal Sized Samples NIPS 2015