Estimating time-varying networks

30 December 2008

Papers citing "Estimating time-varying networks"

50 / 83 papers shown

Title
Simultaneous Topology Estimation and Synchronization of Dynamical Networks with Time-varying Topology Nana Wang Esteban Restrepo Dimos V. Dimarogonas 30 0 0 12 Sep 2024
Lower Bounds and Optimal Algorithms for Non-Smooth Convex Decentralized Optimization over Time-Varying Networks D. Kovalev Ekaterina Borodich Alexander Gasnikov Dmitrii Feoktistov 35 0 0 28 May 2024
Bayesian Inference for High-dimensional Time Series by Latent Process Modeling Arkaprava Roy Anindya Roy S. Ghosal AI4TS 16 0 0 07 Mar 2024
Testing with Non-identically Distributed Samples Shivam Garg Chirag Pabbaraju Kirankumar Shiragur Gregory Valiant 15 0 0 19 Nov 2023
Robust Online Covariance and Sparse Precision Estimation Under Arbitrary Data Corruption Tong Yao Shreyas Sundaram 8 0 0 16 Sep 2023
An Approximate Bayesian Approach to Covariate-dependent Graphical Modeling Sutanoy Dasgupta P. Zhao Jacob Helwig P. Ghosh D. Pati Bani Mallick 15 1 0 15 Mar 2023
Discover governing differential equations from evolving systems Yuan Li K. Wu Jing Liu 11 7 0 19 Jan 2023
uGLAD: Sparse graph recovery by optimizing deep unrolled networks H. Shrivastava Urszula Chajewska Robin Abraham Xinshi Chen 15 8 0 23 May 2022
Two Gaussian regularization methods for time-varying networks Jie Jian Peijun Sang Mu Zhu 9 0 0 14 Feb 2022
Achieving Efficient Distributed Machine Learning Using a Novel Non-Linear Class of Aggregation Functions Haizhou Du Ryan Yang Yijian Chen Qiao Xiang Andre Wibisono Wei Huang 12 0 0 29 Jan 2022
Multi-task Learning of Order-Consistent Causal Graphs Xinshi Chen Haoran Sun Caleb N. Ellington Eric P. Xing Le Song CML 11 12 0 03 Nov 2021
Joint Gaussian Graphical Model Estimation: A Survey Katherine Tsai Oluwasanmi Koyejo Mladen Kolar CML 20 20 0 19 Oct 2021
Joint Estimation and Inference for Multi-Experiment Networks of High-Dimensional Point Processes Xu Wang Ali Shojaie 3DPC 14 3 0 23 Sep 2021
Learning interaction rules from multi-animal trajectories via augmented behavioral models Keisuke Fujii Naoya Takeishi Kazushi Tsutsui Emyo Fujioka Nozomi Nishiumi ... Hiroyoshi Kohno K. Yoda S. Takahashi S. Hiryu Yoshinobu Kawahara 11 13 0 12 Jul 2021
Lower Bounds and Optimal Algorithms for Smooth and Strongly Convex Decentralized Optimization Over Time-Varying Networks D. Kovalev Elnur Gasanov Peter Richtárik Alexander Gasnikov 22 41 0 08 Jun 2021
ADOM: Accelerated Decentralized Optimization Method for Time-Varying Networks D. Kovalev Egor Shulgin Peter Richtárik Alexander Rogozin Alexander Gasnikov ODL 27 30 0 18 Feb 2021
An Adaptive Stochastic Sequential Quadratic Programming with Differentiable Exact Augmented Lagrangians Sen Na M. Anitescu Mladen Kolar 12 41 0 10 Feb 2021
Interpretable Models for Granger Causality Using Self-explaining Neural Networks Ricards Marcinkevics Julia E. Vogt MILM CML 9 60 0 19 Jan 2021
Interpretability and Explainability: A Machine Learning Zoo Mini-tour Ricards Marcinkevics Julia E. Vogt XAI 6 118 0 03 Dec 2020
A Nonconvex Framework for Structured Dynamic Covariance Recovery Katherine Tsai Mladen Kolar Oluwasanmi Koyejo 6 2 0 11 Nov 2020
Efficient Variational Bayes Learning of Graphical Models with Smooth Structural Changes Hang Yu Songwei Wu Justin Dauwels 19 4 0 16 Sep 2020
Additive stacking for disaggregate electricity demand forecasting Christian Capezza B. Palumbo Y. Goude S. Wood Matteo Fasiolo AI4TS 13 6 0 20 May 2020
Inference on the Change Point for High Dimensional Dynamic Graphical Models A. Kaul Hongjing Zhang K. Tsampourakis George Michailidis 16 2 0 19 May 2020
Temporal Poisson Square Root Graphical Models Sinong Geng Zhaobin Kuang P. Peissig David Page 6 13 0 12 May 2020
Online detection of local abrupt changes in high-dimensional Gaussian graphical models Hossein Keshavarz George Michailidis 6 2 0 16 Mar 2020
FuDGE: A Method to Estimate a Functional Differential Graph in a High-Dimensional Setting Boxin Zhao Y Samuel Wang Mladen Kolar 11 8 0 11 Mar 2020
Estimation of dynamic networks for high-dimensional nonstationary time series Mengyu Xu Xiaohui Chen Weichi Wu AI4TS 12 7 0 14 Nov 2019
Direct Estimation of Differential Functional Graphical Models Boxin Zhao Y Samuel Wang Mladen Kolar 11 15 0 22 Oct 2019
Learning the piece-wise constant graph structure of a varying Ising model B. L. Bars Pierre Humbert Argyris Kalogeratos Nicolas Vayatis 9 1 0 18 Oct 2019
Change point detection for graphical models in the presence of missing values Malte Londschien Solt Kovács Peter Buhlmann 6 28 0 11 Jul 2019
Partially Linear Additive Gaussian Graphical Models Sinong Geng Minhao Yan Mladen Kolar Oluwasanmi Koyejo 25 14 0 08 Jun 2019
Estimating and Inferring the Maximum Degree of Stimulus-Locked Time-Varying Brain Connectivity Networks Kean Ming Tan Junwei Lu Tong Zhang Han Liu 17 1 0 28 May 2019
Online Topology Identification from Vector Autoregressive Time Series Bakht Zaman Luis Miguel Lopez Ramos Daniel Romero B. Beferull-Lozano 11 40 0 03 Apr 2019
Online Estimation of Multiple Dynamic Graphs in Pattern Sequences J. Gaudreault Arunabh Saxena Hideaki Shimazaki 12 5 0 22 Jan 2019
Change Point Estimation in a Dynamic Stochastic Block Model M. Bhattacharjee Moulinath Banerjee George Michailidis 15 46 0 07 Dec 2018
Joint Nonparametric Precision Matrix Estimation with Confounding Sinong Geng Mladen Kolar Oluwasanmi Koyejo 19 9 0 16 Oct 2018
The Trajectron: Probabilistic Multi-Agent Trajectory Modeling With Dynamic Spatiotemporal Graphs B. Ivanovic Marco Pavone 17 1 0 14 Oct 2018
Network Inference from Temporal-Dependent Grouped Observations Yunpeng Zhao 20 2 0 25 Aug 2018
Stable Multiple Time Step Simulation/Prediction from Lagged Dynamic Network Regression Models Abhirup Mallik Zack W. Almquist AI4TS 11 1 0 23 Jul 2018
Compressed Sensing Beyond the IID and Static Domains: Theory, Algorithms and Applications A. Kazemipour 12 3 0 28 Jun 2018
Sequential change-point detection in high-dimensional Gaussian graphical models Hossein Keshavarz George Michailidis Yves Atchadé 9 27 0 20 Jun 2018
Learning Influence-Receptivity Network Structure with Guarantee Ming Yu Varun Gupta Mladen Kolar 13 8 0 14 Jun 2018
Estimating Time-Varying Graphical Models Jilei Yang Jie Peng 10 30 0 11 Apr 2018
High-Dimensional Joint Estimation of Multiple Directed Gaussian Graphical Models Yuhao Wang Santiago Segarra Caroline Uhler 30 25 0 03 Apr 2018
Estimation of a Low-rank Topic-Based Model for Information Cascades Ming Yu Varun Gupta Mladen Kolar 22 7 0 06 Sep 2017
Nonparametric inference for continuous-time event counting and link-based dynamic network models Alexander Kreiss E. Mammen W. Polonik 25 9 0 10 May 2017
Network Inference via the Time-Varying Graphical Lasso David Hallac Youngsuk Park Stephen P. Boyd J. Leskovec 16 200 0 06 Mar 2017
Learning Sparse Structural Changes in High-dimensional Markov Networks: A Review on Methodologies and Theories Song Liu Kenji Fukumizu Taiji Suzuki 13 17 0 06 Jan 2017
Efficient Estimation of Compressible State-Space Models with Application to Calcium Signal Deconvolution A. Kazemipour Ji Liu P. Kanold Min Wu B. Babadi 13 4 0 20 Oct 2016
Modeling community structure and topics in dynamic text networks T. Henry David L. Banks Christine P Chai Derek Owens-Oas BDL 16 11 0 18 Oct 2016