Bayesian Nonparametric Inference of Switching Linear Dynamical Systems

19 March 2010

Papers citing "Bayesian Nonparametric Inference of Switching Linear Dynamical Systems"

46 / 46 papers shown

Title
The Recurrent Sticky Hierarchical Dirichlet Process Hidden Markov Model Mikołaj Słupiński Piotr Lipiński 24 0 0 06 Nov 2024
Bayesian Vector AutoRegression with Factorised Granger-Causal Graphs He Zhao V. Kitsios Terry O'Kane Edwin V. Bonilla CML 24 1 0 06 Feb 2024
Distributed Continual Learning with CoCoA in High-dimensional Linear Regression Martin Hellkvist Ayça Özçelikkale Anders Ahlén OOD 41 1 0 04 Dec 2023
Learning Compliant Stiffness by Impedance Control-Aware Task Segmentation and Multi-objective Bayesian Optimization with Priors Masashi Okada Mayumi Komatsu Ryogo Okumura T. Taniguchi 36 4 0 28 Jul 2023
Bayesian Non-linear Latent Variable Modeling via Random Fourier Features M. Zhang Gregory W. Gundersen Barbara Engelhardt BDL 13 2 0 14 Jun 2023
Continual Learning with Distributed Optimization: Does CoCoA Forget? Martin Hellkvist Ayça Özçelikkale Anders Ahlén CLL OOD 24 1 0 30 Nov 2022
Reinforcement Learning in Presence of Discrete Markovian Context Evolution Hang Ren Aivar Sootla Taher Jafferjee Junxiao Shen Jun Wang Haitham Bou-Ammar BDL OffRL 35 9 0 14 Feb 2022
Bayesian Nonparametric View to Spawning Bahman Moraffah 22 0 0 03 Dec 2021
Global Convergence Using Policy Gradient Methods for Model-free Markovian Jump Linear Quadratic Control Santanu Rathod Manoj Bhadu A. De 19 8 0 30 Nov 2021
Granger Causality: A Review and Recent Advances Ali Shojaie E. Fox CML AI4TS 32 259 0 05 May 2021
Dynamical System Segmentation for Information Measures in Motion Thomas A. Berrueta Ana Pervan Kathleen Fitzsimons Todd D. Murphey 17 7 0 09 Dec 2020
Use of Bayesian Nonparametric methods for Estimating the Measurements in High Clutter Bahman Moraffah C. Richmond Raha Moraffah A. Papandreou-Suppappola 14 2 0 30 Nov 2020
Policy Optimization for Markovian Jump Linear Quadratic Control: Gradient-Based Methods and Global Convergence Joao Paulo Jansch-Porto Bin Hu Geir Dullerud 19 8 0 24 Nov 2020
Dynamical Variational Autoencoders: A Comprehensive Review Laurent Girin Simon Leglaive Xiaoyu Bie Julien Diard Thomas Hueber Xavier Alameda-Pineda BDL 23 210 0 28 Aug 2020
Policy Learning of MDPs with Mixed Continuous/Discrete Variables: A Case Study on Model-Free Control of Markovian Jump Systems Joao Paulo Jansch-Porto Bin Hu Geir Dullerud 17 16 0 04 Jun 2020
Variational Inference and Learning of Piecewise-linear Dynamical Systems Xavier Alameda-Pineda Vincent Drouard Radu Horaud 27 12 0 02 Jun 2020
Bayesian nonparametric modeling for predicting dynamic dependencies in multiple object tracking Bahman Moraffah Antonia Papndreou-Suppopola 11 8 0 22 Apr 2020
Convergence Guarantees of Policy Optimization Methods for Markovian Jump Linear Systems Joao Paulo Jansch-Porto Bin Hu Geir Dullerud 25 35 0 10 Feb 2020
Inference for multiple object tracking: A Bayesian nonparametric approach Bahman Moraffah VOT 19 11 0 16 Sep 2019
The Greedy Dirichlet Process Filter - An Online Clustering Multi-Target Tracker Benjamin Naujoks P. Burger Hans-Joachim Wünsche 11 8 0 14 Nov 2018
Robust Particle Filtering via Bayesian Nonparametric Outlier Modeling B. Liu 11 3 0 22 Oct 2018
Stochastic Gradient MCMC for State Space Models Christopher Aicher Yian Ma N. Foti E. Fox 33 21 0 22 Oct 2018
Online Robust Policy Learning in the Presence of Unknown Adversaries Aaron J. Havens Zhanhong Jiang S. Sarkar AAML 16 43 0 16 Jul 2018
Probabilistic Trajectory Segmentation by Means of Hierarchical Dirichlet Process Switching Linear Dynamical Systems Maximilian Sieb M. Schultheis Sebastian Szelag Rudolf Lioutikov Jan Peters 25 0 0 29 May 2018
A Tempt to Unify Heterogeneous Driving Databases using Traffic Primitives Jiacheng Zhu Wenshuo Wang Ding Zhao AI4TS 30 5 0 13 May 2018
Segment Parameter Labelling in MCMC Mean-Shift Change Detection Alireza Ahrabian Shirin Enshaeifar C. C. Took Payam Barnaghi 12 1 0 26 Oct 2017
Extracting Traffic Primitives Directly from Naturalistically Logged Data for Self-Driving Applications Wenshuo Wang Ding Zhao AI4TS 20 74 0 11 Sep 2017
Driving Style Analysis Using Primitive Driving Patterns With Bayesian Nonparametric Approaches Wenshuo Wang Junqiang Xi Ding Zhao 14 134 0 16 Aug 2017
Stochastic Sequential Neural Networks with Structured Inference Hao Liu Haoli Bai Lirong He Zenglin Xu BDL 23 3 0 24 May 2017
A Hidden Absorbing Semi-Markov Model for Informatively Censored Temporal Data: Learning and Inference Ahmed Alaa M. Schaar 20 32 0 18 Dec 2016
A Semi-Markov Switching Linear Gaussian Model for Censored Physiological Data Ahmed Alaa Jinsung Yoon Scott Hu M. Schaar 16 3 0 16 Nov 2016
Composing graphical models with neural networks for structured representations and fast inference Matthew J. Johnson David Duvenaud Alexander B. Wiltschko S. R. Datta Ryan P. Adams BDL OCL 22 482 0 20 Mar 2016
A Latent-Variable Lattice Model Rajasekaran Masatran 11 0 0 23 Dec 2015
Probabilistic Segmentation via Total Variation Regularization Matt Wytock J. Zico Kolter 14 0 0 16 Nov 2015
Infinite Author Topic Model based on Mixed Gamma-Negative Binomial Process Junyu Xuan Jie Lu Guangquan Zhang R. Xu Xiangfeng Luo 19 13 0 30 Mar 2015
An Adaptive Online HDP-HMM for Segmentation and Classification of Sequential Data Ava Bargi R. Xu Massimo Piccardi 24 3 0 10 Mar 2015
Identification of jump Markov linear models using particle filters Andreas Svensson Thomas B. Schon Fredrik Lindsten 19 28 0 25 Sep 2014
Modeling the Complex Dynamics and Changing Correlations of Epileptic Events Drausin Wulsin E. Fox B. Litt 48 21 0 27 Feb 2014
Mixed Membership Models for Time Series Emily B. Fox Michael I. Jordan AI4TS 31 7 0 13 Sep 2013
Joint modeling of multiple time series via the beta process with application to motion capture segmentation E. Fox M. C. Hughes Erik B. Sudderth Michael I. Jordan 28 96 0 22 Aug 2013
Dynamic Infinite Mixed-Membership Stochastic Blockmodel Xuhui Fan LongBing Cao R. Xu 52 27 0 13 Jun 2013
Learning Human Activities and Object Affordances from RGB-D Videos H. Koppula Rudhir Gupta Ashutosh Saxena 96 727 0 04 Oct 2012
Stochastic Variational Inference Matt Hoffman David M. Blei Chong-Jun Wang John Paisley BDL 83 2,599 0 29 Jun 2012
Statistical inference for dynamical systems: a review K. Mcgoff S. Mukherjee Natesh S. Pillai AI4CE 49 47 0 27 Apr 2012
Joint Modeling of Multiple Related Time Series via the Beta Process E. Fox Erik B. Sudderth Michael I. Jordan A. Willsky 38 43 0 17 Nov 2011
Sparsistent Estimation of Time-Varying Discrete Markov Random Fields Mladen Kolar Eric Xing 104 23 0 14 Jul 2009