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Stochastic Processes

92 directly classified papers

Papers per year

Papers

Online Markov Decoding: Lower Bounds and Near-Optimal Approximation Algorithms NIPS 2019
Continuous-time Models for Stochastic Optimization Algorithms NIPS 2019
MRI k-Space Motion Artefact Augmentation: Model Robustness and Task-Specific Uncertainty MIDL 2019
Nonconvex sampling with the Metropolis-adjusted Langevin algorithm COLT 2019
Estimating Convergence of Markov chains with L-Lag Couplings NIPS 2019
State Aggregation Learning from Markov Transition Data NIPS 2019
Learning low-dimensional state embeddings and metastable clusters from time series data NIPS 2019
Characterizing the Exact Behaviors of Temporal Difference Learning Algorithms Using Markov Jump Linear System Theory NIPS 2019
Meta-Weighted Gaussian Process Experts for Personalized Forecasting of AD Cognitive Changes MLHC 2019
Spatio-temporal Bayesian On-line Changepoint Detection with Model Selection ICML 2018
Accelerated Spectral Ranking ICML 2018
On Learning Markov Chains NIPS 2018
Z-Transforms and its Inference on Partially Observable Point Processes IJCAI 2018
Uncertainty Decoding with Adaptive Sampling for Noise Robust DNN-Based Acoustic Modeling INTERSPEECH 2017
Uncovering Causality from Multivariate Hawkes Integrated Cumulants ICML 2017
Learning Stable Task Sequences from Demonstration with Linear Parameter Varying Systems and Hidden Markov Models CORL 2017
Spectral Learning of Dynamic Systems from Nonequilibrium Data NIPS 2016
Multistage Campaigning in Social Networks 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 Language Model based on Mixture of Segmental Contexts for Spontaneous Utterances with Unexpected Words COLING 2016
On Mixtures of Markov Chains NIPS 2016
Infinite Factorial Dynamical Model NIPS 2015
Mixing Time Estimation in Reversible Markov Chains from a Single Sample Path NIPS 2015
From random walks to distances on unweighted graphs NIPS 2015