| Service placement with provable guarantees in heterogeneous edge computing systems S Pasteris, S Wang, M Herbster, T He IEEE INFOCOM 2019-IEEE Conference on Computer Communications, 514-522, 2019 | 171 | 2019 |
| Cooperative Stochastic Bandits with Asynchronous Agents and Constrained Feedback YZJ Chen, S Pasteris, M Hajiesmaili, J Lui, D Towsley Advances in Neural Information Processing Systems 34, 2021 | 31 | 2021 |
| Looking glass of NFV: Inferring the structure and state of NFV network from external observations Y Lin, T He, S Wang, K Chan, S Pasteris IEEE/ACM Transactions on Networking, 2020 | 25 | 2020 |
| Online similarity prediction of networked data from known and unknown graphs C Gentile, M Herbster, S Pasteris Conference on Learning Theory, 662-695, 2013 | 22 | 2013 |
| Mistake bounds for binary matrix completion M Herbster, S Pasteris, M Pontil Advances in Neural Information Processing Systems, 3954-3962, 2016 | 21 | 2016 |
| Online Matrix Completion with Side Information M Herbster, S Pasteris, L Tse Advances in Neural Information Processing Systems 33, 2020 | 20 | 2020 |
| Predicting a switching sequence of graph labelings. M Herbster, S Pasteris, M Pontil Journal of Machine Learning Research 16, 2003-2022, 2015 | 13 | 2015 |
| A Gang of Adversarial Bandits M Herbster, S Pasteris, F Vitale, M Pontil Advances in Neural Information Processing Systems 34, 2021 | 12 | 2021 |
| An algorithm for model fusion for distributed learning D Verma, S Chakraborty, S Calo, S Julier, S Pasteris Ground/Air Multisensor Interoperability, Integration, and Networking for …, 2018 | 11 | 2018 |
| Data distribution and scheduling for distributed analytics tasks S Pasteris, S Wang, C Makaya, K Chan, M Herbster 2017 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced …, 2017 | 10 | 2017 |
| Multicast-based weight inference in general network topologies Y Lin, T He, S Wang, K Chan, S Pasteris ICC 2019-2019 IEEE International Conference on Communications (ICC), 1-6, 2019 | 9 | 2019 |
| Online prediction at the limit of zero temperature M Herbster, S Pasteris, S Ghosh Advances in Neural Information Processing Systems, 2935-2943, 2015 | 9 | 2015 |
| Online Multitask Learning with Long-Term Memory M Herbster, S Pasteris, L Tse arXiv preprint arXiv:2008.07055, 2020 | 7 | 2020 |
| Joint Coreset Construction and Quantization for Distributed Machine Learning H Lu, C Liu, S Wang, T He, V Narayanan, KS Chan, S Pasteris Technical Report, December 2019.[Online]. Available: https://sites. psu. edu …, 0 | 6* | |
| Online sum-product computation over trees M Herbster, S Pasteris, F Vitale Advances in Neural Information Processing Systems, 2870-2878, 2012 | 5 | 2012 |
| Online Learning of Facility Locations S Pasteris, T He, F Vitale, S Wang, M Herbster Algorithmic Learning Theory, 1002-1050, 2021 | 4 | 2021 |
| Communication-efficient k-Means for Edge-based Machine Learning H Lu, T He, S Wang, C Liu, M Mahdavi, V Narayanan, KS Chan, ... | 4* | |
| MaxHedge: Maximizing a Maximum Online S Pasteris, F Vitale, K Chan, S Wang, M Herbster The 22nd International Conference on Artificial Intelligence and Statistics …, 2019 | 3 | 2019 |
| Sum-max Submodular Bandits S Pasteris, A Rumi, F Vitale, N Cesa-Bianchi arXiv preprint arXiv:2311.05975, 2023 | 2 | 2023 |
| On similarity prediction and pairwise clustering S Pasteris, F Vitale, C Gentile, M Herbster Algorithmic Learning Theory, 654-681, 2018 | 2 | 2018 |
