Probability

On the Propagation of Low-Rate Measurement Error to Subgraph Counts in Large Networks JMLR 2017 Some Properties of Batch Value of Information in the Selection Problem (Extended Abstract) IJCAI 2017 Stochastic Bouncy Particle Sampler ICML 2017 The Mixing of Markov Chains on Linear Extensions in Practice IJCAI 2017 Tracking the Evolution of Customer Purchase Behavior Segmentation via a Fragmentation-Coagulation Process IJCAI 2017 Uncertainty Decoding with Adaptive Sampling for Noise Robust DNN-Based Acoustic Modeling Interspeech 2017 Uncovering Causality from Multivariate Hawkes Integrated Cumulants ICML 2017 Acoustic-to-Articulatory Inversion Mapping Based on Latent Trajectory Gaussian Mixture Model Interspeech 2016 Adaptive Concentration Inequalities for Sequential Decision Problems NeurIPS 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 Completely random measures for modelling block-structured sparse networks NeurIPS 2016 Consistent Kernel Mean Estimation for Functions of Random Variables NeurIPS 2016 Edge-exchangeable graphs and sparsity NeurIPS 2016 Ensuring Rapid Mixing and Low Bias for Asynchronous Gibbs Sampling ICML 2016 Estimating the Size of a Large Network and its Communities from a Random Sample NeurIPS 2016 Exact Exponent in Optimal Rates for Crowdsourcing ICML 2016 Hawkes Processes with Stochastic Excitations ICML 2016 Isotonic Hawkes Processes ICML 2016 Kernel Mean Shrinkage Estimators JMLR 2016 Learning and Forecasting Opinion Dynamics in Social Networks NeurIPS 2016 Likelihood Ratio Calculation in Acoustic-Phonetic Forensic Voice Comparison: Comparison of Three Statistical Modelling Approaches Interspeech 2016 Multistage Campaigning in Social Networks NeurIPS 2016 Mutual Information Based Matching for Causal Inference with Observational Data JMLR 2016 On Mixtures of Markov Chains NeurIPS 2016