FlexiBO: A Decoupled Cost-Aware Multi-Objective Optimization Approach for Deep Neural Networks MS Iqbal, J Su, L Kotthoff, P Jamshidi Journal of Artificial Intelligence Research (JAIR), 2020 | 34* | 2020 |
Unicorn: Reasoning about Configurable System Performance through the lens of Causality MS Iqbal, R Krishna, MA Javidian, B Ray, P Jamshidi Seventeenth European Conference on Computer Systems (EuroSys), 2022 | 32 | 2022 |
CADET: A Systematic Method For Debugging Misconfigurations using Counterfactual Reasoning R Krishna, MS Iqbal, MA Javidian, B Ray, P Jamshidi NeurIPS 2020 Workshop on Machine Learning for Systems, 2020 | 25* | 2020 |
Transfer Learning for Performance Modeling of Deep Neural Network Systems MS Iqbal, L Kotthoff, P Jamshidi 2019 USENIX Conference on Operational Machine Learning (OpML 19), 43-46, 2019 | 16 | 2019 |
Change Point Detection for MongoDB Time Series Performance Regression MS Iqbal, M Leznik, I Trubin, A Lochner, P Jamshidi, A Bauer 2022 ACM/SPEC International Conference on Performance Engineering (ICPE), 2022 | 5* | 2022 |
CAMEO: A Causal Transfer Learning Approach for Performance Optimization of Configurable Computer Systems MS Iqbal, Z Zhong, I Ahmad, B Ray, P Jamshidi 14th ACM Symposium on Cloud Computing (SoCC'23), 2023 | 2 | 2023 |
Learning to Grasp Unknown Objects using Weighted Random Forest Algorithm from Selective Image and Point Cloud Feature MS Iqbal University of Central Florida, 2014 | 1 | 2014 |
FlexiBO: A Decoupled Cost-Aware Multi-objective Optimization Approach for Deep Neural Networks MS Iqbal, J Su, L Kotthoff, P Jamshidi Proceedings of the AAAI Conference on Artificial Intelligence 38 (20), 22700 …, 2024 | | 2024 |
SPEC Research-Introducing the Predictive Data Analytics Working Group: Poster Paper A Bauer, M Leznik, MS Iqbal, D Seybold, I Trubin, B Erb, J Domaschka, ... Companion of the 2022 ACM/SPEC International Conference on Performance …, 2022 | | 2022 |
Getting the Best Bang For Your Buck: Choosing What to Evaluate for Faster Bayesian Optimization MS Iqbal, J Su, L Kotthoff, P Jamshidi AutoML-Conf 2022 Late-Breaking Workshop, 2022 | | 2022 |