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David Hallac
David Hallac
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Learning structural node embeddings via diffusion wavelets
C Donnat, M Zitnik, D Hallac, J Leskovec
Proceedings of the 24th ACM SIGKDD international conference on knowledge ¡¦, 2018
4262018
Toeplitz inverse covariance-based clustering of multivariate time series data
D Hallac, S Vare, S Boyd, J Leskovec
Proceedings of the 23rd ACM SIGKDD international conference on knowledge ¡¦, 2017
3272017
Network lasso: Clustering and optimization in large graphs
D Hallac, J Leskovec, S Boyd
Proceedings of the 21th ACM SIGKDD international conference on knowledge ¡¦, 2015
3192015
Network inference via the time-varying graphical lasso
D Hallac, Y Park, S Boyd, J Leskovec
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge ¡¦, 2017
2342017
Driver identification using automobile sensor data from a single turn
D Hallac, A Sharang, R Stahlmann, A Lamprecht, M Huber, M Roehder, ...
2016 IEEE 19th International Conference on Intelligent Transportation ¡¦, 2016
1572016
Data-driven model predictive control of autonomous mobility-on-demand systems
R Iglesias, F Rossi, K Wang, D Hallac, J Leskovec, M Pavone
2018 IEEE international conference on robotics and automation (ICRA), 6019-6025, 2018
1532018
Greedy Gaussian segmentation of multivariate time series
D Hallac, P Nystrup, S Boyd
Advances in Data Analysis and Classification 13 (3), 727-751, 2019
892019
Drive2vec: Multiscale state-space embedding of vehicular sensor data
D Hallac, S Bhooshan, M Chen, K Abida, J Leskovec
2018 21st International Conference on Intelligent Transportation Systems ¡¦, 2018
392018
SnapVX: A network-based convex optimization solver
D Hallac, C Wong, S Diamond, A Sharang, S Boyd, J Leskovec
Journal of Machine Learning Research 18 (4), 1-5, 2017
272017
Learning the network structure of heterogeneous data via pairwise exponential Markov random fields
Y Park, D Hallac, S Boyd, J Leskovec
Artificial Intelligence and Statistics, 1302-1310, 2017
232017
Driver2vec: Driver identification from automotive data
J Yang, R Zhao, M Zhu, D Hallac, J Sodnik, J Leskovec
arXiv preprint arXiv:2102.05234, 2021
152021
Distributed majorization-minimization for Laplacian regularized problems
J Tuck, D Hallac, S Boyd
IEEE/CAA Journal of Automatica Sinica 6 (1), 45-52, 2019
122019
MASA: Motif-aware state assignment in noisy time series data
S Jain, D Hallac, R Sosic, J Leskovec
arXiv preprint arXiv:1809.01819, 2018
10*2018
High Dimensional Models
TVG Lasso, D Hallac, Y Park, S Boyd, J Leskovec, A Boomer, ...
2021
Inferring Structure from Multivariate Time Series Sensor Data
DP Hallac
Stanford University, 2018
2018
Network Lasso
D Hallac, J Leskovec, S Boyd
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge ¡¦, 2015
2015
ECE 602 Project: Implementation of" Network Inference via the Time-Varying Graphical Lasso
D Hallac, Y Park, S Boyd, J Leskovec, A Main
Scalable Machine Learning on Spark for multiclass problems
G Kamath, S Dhar, N Ramakrishnan, D Hallac, J Leskovec, M Shah
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