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Journal Articles
- 2019
[j3]David Hallac
, Peter Nystrup, Stephen P. Boyd:
Greedy Gaussian segmentation of multivariate time series. Adv. Data Anal. Classif. 13(3): 727-751 (2019)- [j2]Jonathan Tuck, David Hallac, Stephen P. Boyd:
Distributed majorization-minimization for Laplacian regularized problems. IEEE CAA J. Autom. Sinica 6(1): 45-52 (2019) - 2017
- [j1]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: 4:1-4:5 (2017)
Conference and Workshop Papers
- 2018
- [c9]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: 1-7 - [c8]David Hallac, Sagar Vare, Stephen P. Boyd, Jure Leskovec:
Toeplitz Inverse Covariance-based Clustering of Multivariate Time Series Data. IJCAI 2018: 5254-5258 - [c7]David Hallac, Suvrat Bhooshan, Michael H. Chen, Kacem Abida, Rok Sosic, Jure Leskovec:
Drive2Vec: Multiscale State-Space Embedding of Vehicular Sensor Data. ITSC 2018: 3233-3238 - [c6]Claire Donnat, Marinka Zitnik, David Hallac, Jure Leskovec:
Learning Structural Node Embeddings via Diffusion Wavelets. KDD 2018: 1320-1329 - 2017
- [c5]Youngsuk Park, David Hallac, Stephen P. Boyd, Jure Leskovec:
Learning the Network Structure of Heterogeneous Data via Pairwise Exponential Markov Random Fields. AISTATS 2017: 1302-1310 - [c4]David Hallac, Youngsuk Park, Stephen P. Boyd, Jure Leskovec:
Network Inference via the Time-Varying Graphical Lasso. KDD 2017: 205-213 - [c3]David Hallac, Sagar Vare, Stephen P. Boyd, Jure Leskovec:
Toeplitz Inverse Covariance-Based Clustering of Multivariate Time Series Data. KDD 2017: 215-223 - 2016
- [c2]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: 953-958 - 2015
- [c1]David Hallac, Jure Leskovec, Stephen P. Boyd:
Network Lasso: Clustering and Optimization in Large Graphs. KDD 2015: 387-396
Informal and Other Publications
- 2021
- [i10]Jingbo Yang, Ruge Zhao, Meixian Zhu, David Hallac, Jaka Sodnik, Jure Leskovec:
Driver2vec: Driver Identification from Automotive Data. CoRR abs/2102.05234 (2021) - 2018
- [i9]David Hallac, Suvrat Bhooshan, Michael H. Chen, Kacem Abida, Rok Sosic, Jure Leskovec:
Drive2Vec: Multiscale State-Space Embedding of Vehicular Sensor Data. CoRR abs/1806.04795 (2018) - [i8]Saachi Jain, David Hallac, Rok Sosic, Jure Leskovec:
CASC: Context-Aware Segmentation and Clustering for Motif Discovery in Noisy Time Series Data. CoRR abs/1809.01819 (2018) - 2017
- [i7]David Hallac, Youngsuk Park, Stephen P. Boyd, Jure Leskovec:
Network Inference via the Time-Varying Graphical Lasso. CoRR abs/1703.01958 (2017) - [i6]David Hallac, Sagar Vare, Stephen P. Boyd, Jure Leskovec:
Toeplitz Inverse Covariance-Based Clustering of Multivariate Time Series Data. CoRR abs/1706.03161 (2017) - [i5]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 abs/1708.04636 (2017) - [i4]Ramón Iglesias, Federico Rossi, Kevin Wang, David Hallac, Jure Leskovec, Marco Pavone:
Data-Driven Model Predictive Control of Autonomous Mobility-on-Demand Systems. CoRR abs/1709.07032 (2017) - [i3]Claire Donnat, Marinka Zitnik, David Hallac, Jure Leskovec:
Spectral Graph Wavelets for Structural Role Similarity in Networks. CoRR abs/1710.10321 (2017) - 2015
- [i2]David Hallac, Jure Leskovec, Stephen P. Boyd:
Network Lasso: Clustering and Optimization in Large Graphs. CoRR abs/1507.00280 (2015) - [i1]David Hallac, Christopher Wong, Steven Diamond, Rok Sosic, Stephen P. Boyd, Jure Leskovec:
SnapVX: A Network-Based Convex Optimization Solver. CoRR abs/1509.06397 (2015)
Coauthor Index
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