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A
Ahmed, T., M. J. Coates, and A. Lakhina, Multivariate online anomaly detection using kernel recursive least squares, , Montreal, Department of Electrical and Computer Engineering, McGill University, 07/2006.  Download: ahmed_TechReport06.pdf (213.42 KB)
Ahmed, T., M. J. Coates, and A. Lakhina, "Multivariate online anomaly detection using kernel recursive least squares", IEEE INFOCOM, Anchorage, AK, May 2007.  Download: ahmed_INFOCOM07.pdf (217.44 KB)
Ahmed, T., B. N. Oreshkin, and M. J. Coates, "Machine Learning Approaches to Network Anomaly Detection", SysML, Boston, MA, April 2007.  Download: ahmed_SysML07.pdf (187.56 KB)
Ahmed, T., and M. J. Coates, Flow vector prediction, , Montreal, Department of Electrical and Computer Engineering, McGill University, 09/2005.  Download: ahmed_TechReport05.pdf (393.83 KB)
Assran, M., N. Loizou, N. Ballas, and M. G. Rabbat, "Stochastic gradient push for distributed deep learning", International Conference on Machine Learning (ICML), 2019.
Assran, M., and M. G. Rabbat, "Asynchronous subgradient-push", arXiv preprint arXiv:1803.08950, 2018.
Assran, M., and M. G. Rabbat, "An empirical comparison of multi-agent optimization algorithms", 2017 IEEE Global Conference on Signal and Information Processing (GlobalSIP): IEEE, pp. 573–577, 2017.
Assran, M., J. Romoff, N. Ballas, J. Pineau, and M. Rabbat, "Gossip-based Actor-Learner Architectures for Deep Reinforcement Learning", Advances in Neural Information Processing System (NeurIPS), 2019.
Aysal, T. C., B. N. Oreshkin, and M. J. Coates, "Accelerated Distributed Average Consensus Via Localized Node State Prediction", IEEE Transactions on Signal Processing, vol. 57, pp. 1576, 12/2008, 2009.  Download: 04694103.pdf (530.02 KB)
Aysal, T. C., B. N. Oreshkin, and M. J. Coates, Accelerated Distributed Average Consensus Via Localized Node State Prediction, , Montreal, QC, Canada, Department of Electrical and Computer Engineering, McGill University, 10/2007. Abstract  Download: aysal_TechReport07.pdf (196.67 KB)
Aysal, T. C., M. J. Coates, and M. G. Rabbat, "Distributed Average Consensus With Dithered Quantization", IEEE Transactions on Signal Processing, vol. 56, issue 10, pp. 4918, 10/2008, 2007.  Download: 04542554.pdf (662.59 KB)
Aysal, T. C., M. J. Coates, and M. G. Rabbat, "DISTRIBUTED AVERAGE CONSENSUS USING PROBABILISTIC QUANTIZATION", IEEE Workshop on Statistical Signal Processing, Madison, WI, USA, 08/2007.  Download: aysal_SSP07.pdf (133.83 KB)
Aysal, T. C., M. J. Coates, and M. G. Rabbat, "Rates of Convergence for Distributed Average Consensus with Probabilistic Quantization", Allerton Conference on Communication, Control and Computing, Urbana, IL, USA, 09/2007.  Download: aysal_Allerton07.pdf (223.31 KB)
B
Bilbeisi, H., and L. G. Mason, "Time-slotted scheduling for Agile All-Photonics Networks: performance and complexity", International Symposium on Performance Evaluation of Computer and Telecommunication Systems, Edinburgh, UK, 06/2008.  Download: 04667569.pdf (864.21 KB)
Brunet, G., F. Heidari, and L. G. Mason, "Load shared sequential routing in MPLS networks: system and user optimal solutions", EuroFGI NET-COOP, Avignon, France, June 2007.  Download: brunet_EuroFGI07.pdf (229.74 KB)
C
Castro, R., M. J. Coates, and R. D. Nowak, "Likelihood based hierarchical clustering", IEEE Trans. on Signal Processing, vol. 52, pp. 2308- 2321, 08/2004. Abstract  Download: castro_TSP04.pdf (462.22 KB)
Castro, R., M. J. Coates, and R. D. Nowak, "Maximum likelihood topology identification from end-to-end measurements", DIMACS Workshop on Internet Measurement, Mapping and Modeling, Piscataway, New Jersey, Feb. 2002.  Download: castro_IMMM02.pdf (43.44 KB)
Castro, R., M. J. Coates, R. D. Nowak, and B. Yu, "Network tomography: recent developments pp. 499-517.", Statistical Science, vol. 19, issue 3, pp. 499-517, 08/2004. Abstract  Download: castro_StatSciMagazine04.pdf (1.15 MB)
Chen, X., A. Edelstein, Y. Li, M. J. Coates, M. G. Rabbat, and A. Men, "Sequential Monte Carlo for simultaneous passive device-free tracking and sensor localization using received signal strength measurements", IEEE International Conference on Information Processing in Sensor Networks (IPSN), Chicago, IL, USA, pp. 342 -353, Apr 2011.  Download: IPSN_Chen_2011.pdf (581.69 KB)
Coates, M. J., B. Erikkson, R. D. Nowak, and C. Scott, Learning to Satisfy, , Montreal, QC, Canada, Department of Electrical and Computer Engineering, McGill University, 11/2006. Abstract  Download: coates_TechReport06.pdf (184.77 KB)
Coates, M. J., and G. Ing, "Actuator networks: distributed evaluation of causal effect", Asilomar Conf. Signals, Systems, and Computers, Pacific Grove, CA, 11/2004. Abstract  Download: ing_ASILOMAR04.pdf (525.03 KB)
Coates, M. J., and R. D. Nowak, "Network loss inference using unicast end-to-end measurement", ITC Conference on IP Traffic Modelling and Management, Monterey, California, Sept. 2000.  Download: coates_ITC00.pdf (130.93 KB)
Coates, M. J., and R. D. Nowak, " Sequential monte carlo inference of internal delays in nonstationary data networks", IEEE Transactions on Signal Processing, Special Issue on Monte Carlo Methods for Statistical Signal Processing, vol. 50, issue 2, pp. 366-376, Feb. 2002.  Download: coates_TSPMagazine02.pdf (382.71 KB)
Coates, M. J., Y. Pointurier, and M. G. Rabbat, "COMPRESSED NETWORK MONITORING", IEEE Workshop on Statistical Signal Processing, Madison, WI, USA, 08/2007.  Download: coates_SSP07.pdf (128.8 KB)
Coates, M. J., and I. Psaromiligkos, "Evaluating average causal effect using wireless sensor networks ", IEEE ICASSP, Montreal, QC, Canada, 05/2004. Abstract  Download: coates_ICASSP04.pdf (241.93 KB)