10 citations · 22 across the 6 of their papers we have counts for
6 papers
Agentic Control Center for Data Product Optimization
Priyadarshini Tamilselvan, Gregory Bramble, Sola Shirai +3
Data products enable end users to gain greater insights about their data by providing supporting assets, such as example question-SQL pairs which can be answered using the data or…
Toward Theoretical Guidance for Two Common Questions in Practical Cross-Validation based Hyperparameter Selection
Parikshit Ram, Alexander G. Gray, Horst C. Samulowitz +1
We show, to our knowledge, the first theoretical treatments of two common questions in cross-validation based hyperparameter selection: (1) After selecting the best hyperparameter…
AutoAI-TS: AutoAI for Time Series Forecasting
Syed Yousaf Shah, Dhaval Patel, Long Vu +10
A large number of time series forecasting models including traditional statistical models, machine learning models and more recently deep learning have been proposed in the literat…
Solving Constrained CASH Problems with ADMM
Parikshit Ram, Sijia Liu, Deepak Vijaykeerthi +5
The CASH problem has been widely studied in the context of automated configurations of machine learning (ML) pipelines and various solvers and toolkits are available. However, CASH…
An ADMM Based Framework for AutoML Pipeline Configuration
Sijia Liu, Parikshit Ram, Deepak Vijaykeerthy +6
We study the AutoML problem of automatically configuring machine learning pipelines by jointly selecting algorithms and their appropriate hyper-parameters for all steps in supervis…
Neurology-as-a-Service for the Developing World
Tejas Dharamsi, Payel Das, Tejaswini Pedapati +7
Electroencephalography (EEG) is an extensively-used and well-studied technique in the field of medical diagnostics and treatment for brain disorders, including epilepsy, migraines,…