| A Domain-Shrinking based Bayesian Optimization Algorithm with Order-Optimal Regret Performance S Salgia, S Vakili, Q Zhao Advances in Neural Information Processing Systems 34, 2021 | 35 | 2021 |
| A perspective on data sharing in digital food safety systems C Qian, Y Liu, C Barnett-Neefs, S Salgia, O Serbetci, A Adalja, J Acharya, ... Critical Reviews in Food Science and Nutrition 63 (33), 12513-12529, 2023 | 11 | 2023 |
| Disagreement-based active learning in online settings B Huang, S Salgia, Q Zhao IEEE Transactions on Signal Processing, 2022 | 11 | 2022 |
| Collaborative Learning in Kernel-based Bandits for Distributed Users S Salgia, S Vakili, Q Zhao IEEE Transactions on Signal Processing, 2023 | 7* | 2023 |
| Distributed linear bandits under communication constraints S Salgia, Q Zhao International Conference on Machine Learning, 29845-29875, 2023 | 6 | 2023 |
| Stochastic Gradient Descent on a Tree: an Adaptive and Robust Approach to Stochastic Convex Optimization S Vakili, S Salgia, Q Zhao 2019 57th Annual Allerton Conference on Communication, Control, and …, 2019 | 5 | 2019 |
| Bandlimited Spatiotemporal Field Sampling with Location and Time Unaware Mobile Sensors S Salgia, A Kumar 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 5 | 2018 |
| Provably and practically efficient neural contextual bandits S Salgia International Conference on Machine Learning, 29800-29844, 2023 | 4 | 2023 |
| A Communication-Efficient Adaptive Algorithm for Federated Learning under Cumulative Regret S Salgia, T Gabay, Q Zhao, K Cohen IEEE Transactions on Signal Processing, 2024 | 3 | 2024 |
| An order-optimal adaptive test plan for noisy group testing under unknown noise models S Salgia, Q Zhao ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 2 | 2021 |
| Random Exploration in Bayesian Optimization: Order-Optimal Regret and Computational Efficiency S Salgia, S Vakili, Q Zhao arXiv preprint arXiv:2310.15351, 2023 | 1 | 2023 |
| Stochastic Coordinate Minimization with Progressive Precision for Stochastic Convex Optimization S Salgia, Q Zhao, S Vakili International Conference on Machine Learning, 8427-8437, 2020 | 1 | 2020 |
| Order-Optimal Regret in Distributed Kernel Bandits using Uniform Sampling with Shared Randomness N Pavlovic, S Salgia, Q Zhao arXiv preprint arXiv:2402.13182, 2024 | | 2024 |
| Stochastic Optimization and Learning: An Adaptive and Resource-Efficient Approach S Salgia Cornell University, 2023 | | 2023 |
| As Easy as ABC: Adaptive Binning Coincidence Test for Uniformity Testing S Salgia, Q Zhao, L Tong arXiv preprint arXiv:2110.06325, 2021 | | 2021 |
| Spatial Field estimation from Samples taken at Unknown Locations generated by an Unknown Autoregressive Process S Salgia, A Kumar arXiv preprint arXiv:1710.09451, 2017 | | 2017 |
Qing ZhaoProfessor at Cornell UniversityVerified email at cornell.edu
