Tinu Theckel Joy
IBM Research - Australia(AU)
Publications by Year
Research Areas
Advanced Multi-Objective Optimization Algorithms, Machine Learning and Algorithms, Machine Learning and Data Classification, Advanced Bandit Algorithms Research, Topic Modeling
Most-Cited Works
- → Hyperparameter tuning for big data using Bayesian optimisation(2016)96 cited
- → Batch Bayesian optimization using multi-scale search(2019)63 cited
- → A flexible transfer learning framework for Bayesian optimization with convergence guarantee(2018)58 cited
- → Flexible Transfer Learning Framework for Bayesian Optimisation(2016)16 cited
- → Improving the Flexibility of Dynamic Prosody Modification Using Instants of Significant Excitation(2015)9 cited
- → Fast hyperparameter tuning using Bayesian optimization with directional derivatives(2020)6 cited
- → Analyzing Epistemic and Aleatoric Uncertainty for Drusen Segmentation in Optical Coherence Tomography Images(2021)4 cited
- Efficient hyperparameter tuning using Bayesian optimization(2019)
- → Fast Hyperparameter Tuning using Bayesian Optimization with Directional\n Derivatives(2019)
- → A corpus for differential diagnosis: an eye diseases use case(2021)