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Time Series

431 papers

Papers per year

5
4
46
57
'10
'15
'20
'25

Papers

Scalable Nonparametric Bayesian Inference on Point Processes with Gaussian Processes ICML 2015
Network Granger Causality with Inherent Grouping Structure JMLR 2015
Shaping Social Activity by Incentivizing Users NIPS 2014
Variational Gaussian Process State-Space Models NIPS 2014
Learning Time-Varying Coverage Functions NIPS 2014
Ensembles for Time Series Forecasting ACML 2014
Boosting multi-step autoregressive forecasts ICML 2014
Ensemble-Based Tracking: Aggregating Crowdsourced Structured Time Series Data ICML 2014
Link Prediction in Graphs with Autoregressive Features JMLR 2014
Bayesian Inference and Learning in Gaussian Process State-Space Models with Particle MCMC NIPS 2013
Multilinear Dynamical Systems for Tensor Time Series NIPS 2013
Nonparametric Multi-group Membership Model for Dynamic Networks NIPS 2013
Speeding up Permutation Testing in Neuroimaging NIPS 2013
Mixed LICORS: A Nonparametric Algorithm for Predictive State Reconstruction AISTATS 2013
Learning Connections in Financial Time Series ICML 2013
Hierarchically-coupled hidden Markov models for learning kinetic rates from single-molecule data ICML 2013
Dynamic Covariance Models for Multivariate Financial Time Series ICML 2013
The Extended Parameter Filter ICML 2013
Learning Triggering Kernels for Multi-dimensional Hawkes Processes ICML 2013
Patient Risk Stratification for Hospital-Associated C. diff as a Time-Series Classification Task NIPS 2012
Learning High-Density Regions for a Generalized Kolmogorov-Smirnov Test in High-Dimensional Data NIPS 2012
Link Prediction in Graphs with Autoregressive Features NIPS 2012
Exact and Stable Recovery of Sequences of Signals with Sparse Increments via Differential _1-Minimization NIPS 2012
Adaptive Learning of Smoothing Functions: Application to Electricity Load Forecasting NIPS 2012
Multiplicative Forests for Continuous-Time Processes NIPS 2012