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Tinu Theckel Joy

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affiliation: IBM Research

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Journal Articles

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2020
[j4]
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  - journals/kbs/JoyRGV20
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Tinu Theckel Joy, Santu Rana, Sunil Gupta, Svetha Venkatesh:
Batch Bayesian optimization using multi-scale search. Knowl. Based Syst. 187 (2020)
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Tinu Theckel Joy, Santu Rana, Sunil Gupta, Svetha Venkatesh:
Fast hyperparameter tuning using Bayesian optimization with directional derivatives. Knowl. Based Syst. 205: 106247 (2020)
2019
[j2]
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Tinu Theckel Joy, Santu Rana, Sunil Gupta, Svetha Venkatesh:
A flexible transfer learning framework for Bayesian optimization with convergence guarantee. Expert Syst. Appl. 115: 656-672 (2019)
2016
[j1]
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  - journals/cssp/GovindJ16
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D. Govind, Tinu Theckel Joy:
Improving the Flexibility of Dynamic Prosody Modification Using Instants of Significant Excitation. Circuits Syst. Signal Process. 35(7): 2518-2543 (2016)

Conference and Workshop Papers

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2016
[c2]
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Tinu Theckel Joy, Santu Rana, Sunil Gupta, Svetha Venkatesh:
Hyperparameter tuning for big data using Bayesian optimisation. ICPR 2016: 2574-2579
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  - conf/pakdd/JoyRGV16
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Tinu Theckel Joy, Santu Rana, Sunil Kumar Gupta, Svetha Venkatesh:
Flexible Transfer Learning Framework for Bayesian Optimisation. PAKDD (1) 2016: 102-114

Informal and Other Publications

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2021
[i2]
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  - journals/corr/abs-2101-08888
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Tinu Theckel Joy, Suman Sedai, Rahil Garnavi:
Analyzing Epistemic and Aleatoric Uncertainty for Drusen Segmentation in Optical Coherence Tomography Images. CoRR abs/2101.08888 (2021)
2019
[i1]
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  - journals/corr/abs-1902-02416
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Tinu Theckel Joy, Santu Rana, Sunil Gupta, Svetha Venkatesh:
Fast Hyperparameter Tuning using Bayesian Optimization with Directional Derivatives. CoRR abs/1902.02416 (2019)

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