David Hallac

Publication Activity (10 Years)

Years Active: 2015-2021
Publications (10 Years): 22

Top Topics

Multivariate Time Series

Top Venues

Publications

Jingbo Yang, Ruge Zhao, Meixian Zhu, David Hallac, Jaka Sodnik, Jure Leskovec
Driver2vec: Driver Identification from Automotive Data. CoRR (2021)
Jonathan Tuck, David Hallac, Stephen P. Boyd
Distributed majorization-minimization for Laplacian regularized problems. IEEE CAA J. Autom. Sinica 6 (1) (2019)
David Hallac, Peter Nystrup, Stephen P. Boyd
Greedy Gaussian segmentation of multivariate time series. Adv. Data Anal. Classif. 13 (3) (2019)
David Hallac, Sagar Vare, Stephen P. Boyd, Jure Leskovec
Toeplitz Inverse Covariance-based Clustering of Multivariate Time Series Data. IJCAI (2018)
Saachi Jain, David Hallac, Rok Sosic, Jure Leskovec
CASC: Context-Aware Segmentation and Clustering for Motif Discovery in Noisy Time Series Data. CoRR (2018)
Ramón Iglesias, Federico Rossi, Kevin Wang, David Hallac, Jure Leskovec, Marco Pavone
Data-Driven Model Predictive Control of Autonomous Mobility-on-Demand Systems. ICRA (2018)
David Hallac, Suvrat Bhooshan, Michael H. Chen, Kacem Abida, Rok Sosic, Jure Leskovec
Drive2Vec: Multiscale State-Space Embedding of Vehicular Sensor Data. CoRR (2018)
David Hallac, Suvrat Bhooshan, Michael H. Chen, Kacem Abida, Rok Sosic, Jure Leskovec
Drive2Vec: Multiscale State-Space Embedding of Vehicular Sensor Data. ITSC (2018)
Claire Donnat, Marinka Zitnik, David Hallac, Jure Leskovec
Learning Structural Node Embeddings via Diffusion Wavelets. KDD (2018)
David Hallac, Christopher Wong, Steven Diamond, Abhijit Sharang, Rok Sosic, Stephen P. Boyd, Jure Leskovec
SnapVX: A Network-Based Convex Optimization Solver. J. Mach. Learn. Res. 18 (2017)
Youngsuk Park, David Hallac, Stephen P. Boyd, Jure Leskovec
Learning the Network Structure of Heterogeneous Data via Pairwise Exponential Markov Random Fields. AISTATS (2017)
David Hallac, Sagar Vare, Stephen P. Boyd, Jure Leskovec
Toeplitz Inverse Covariance-Based Clustering of Multivariate Time Series Data. KDD (2017)
David Hallac, Abhijit Sharang, Rainer Stahlmann, Andreas Lamprecht, Markus Huber, Martin Roehder, Rok Sosic, Jure Leskovec
Driver Identification Using Automobile Sensor Data from a Single Turn. CoRR (2017)
Claire Donnat, Marinka Zitnik, David Hallac, Jure Leskovec
Spectral Graph Wavelets for Structural Role Similarity in Networks. CoRR (2017)
Ramón Iglesias, Federico Rossi, Kevin Wang, David Hallac, Jure Leskovec, Marco Pavone
Data-Driven Model Predictive Control of Autonomous Mobility-on-Demand Systems. CoRR (2017)
David Hallac, Youngsuk Park, Stephen P. Boyd, Jure Leskovec
Network Inference via the Time-Varying Graphical Lasso. KDD (2017)
David Hallac, Youngsuk Park, Stephen P. Boyd, Jure Leskovec
Network Inference via the Time-Varying Graphical Lasso. CoRR (2017)
David Hallac, Sagar Vare, Stephen P. Boyd, Jure Leskovec
Toeplitz Inverse Covariance-Based Clustering of Multivariate Time Series Data. CoRR (2017)
David Hallac, Abhijit Sharang, Rainer Stahlmann, Andreas Lamprecht, Markus Huber, Martin Roehder, Rok Sosic, Jure Leskovec
Driver identification using automobile sensor data from a single turn. ITSC (2016)
David Hallac, Jure Leskovec, Stephen P. Boyd
Network Lasso: Clustering and Optimization in Large Graphs. CoRR (2015)
David Hallac, Christopher Wong, Steven Diamond, Rok Sosic, Stephen P. Boyd, Jure Leskovec
SnapVX: A Network-Based Convex Optimization Solver. CoRR (2015)
David Hallac, Jure Leskovec, Stephen P. Boyd
Network Lasso: Clustering and Optimization in Large Graphs. KDD (2015)