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Md Shahriar Iqbal
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Year
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
28*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
262022
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
21*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
152019
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
4*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
12023
Learning to Grasp Unknown Objects using Weighted Random Forest Algorithm from Selective Image and Point Cloud Feature
MS Iqbal
University of Central Florida, 2014
12014
FlexiBO: A Decoupled Cost-Aware Multi-objective Optimization Approach for Deep Neural Networks (Abstract Reprint)
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
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Articles 1–10