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Iaroslav Shcherbatyi
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2020 – today
- 2021
- [c6]Valerio Perrone, Huibin Shen, Aida Zolic, Iaroslav Shcherbatyi, Amr Ahmed, Tanya Bansal, Michele Donini, Fela Winkelmolen, Rodolphe Jenatton, Jean Baptiste Faddoul, Barbara Pogorzelska, Miroslav Miladinovic, Krishnaram Kenthapadi, Matthias W. Seeger, Cédric Archambeau:
Amazon SageMaker Automatic Model Tuning: Scalable Gradient-Free Optimization. KDD 2021: 3463-3471 - 2020
- [c5]Piali Das, Nikita Ivkin, Tanya Bansal, Laurence Rouesnel, Philip Gautier, Zohar S. Karnin, Leo Dirac, Lakshmi Ramakrishnan, Andre Perunicic, Iaroslav Shcherbatyi, Wilton Wu, Aida Zolic, Huibin Shen, Amr Ahmed, Fela Winkelmolen, Miroslav Miladinovic, Cédric Archambeau, Alex Tang, Bhaskar Dutt, Patricia Grao, Kumar Venkateswar:
Amazon SageMaker Autopilot: a white box AutoML solution at scale. DEEM@SIGMOD 2020: 2:1-2:7 - [i5]Piali Das, Valerio Perrone, Nikita Ivkin, Tanya Bansal, Zohar S. Karnin, Huibin Shen, Iaroslav Shcherbatyi, Yotam Elor, Wilton Wu, Aida Zolic, Thibaut Liénart, Alex Tang, Amr Ahmed, Jean Baptiste Faddoul, Rodolphe Jenatton, Fela Winkelmolen, Philip Gautier, Leo Dirac, Andre Perunicic, Miroslav Miladinovic, Giovanni Zappella, Cédric Archambeau, Matthias W. Seeger, Bhaskar Dutt, Laurence Rouesnel:
Amazon SageMaker Autopilot: a white box AutoML solution at scale. CoRR abs/2012.08483 (2020) - [i4]Valerio Perrone, Huibin Shen, Aida Zolic, Iaroslav Shcherbatyi, Amr Ahmed, Tanya Bansal, Michele Donini, Fela Winkelmolen, Rodolphe Jenatton, Jean Baptiste Faddoul, Barbara Pogorzelska, Miroslav Miladinovic, Krishnaram Kenthapadi, Matthias W. Seeger, Cédric Archambeau:
Amazon SageMaker Automatic Model Tuning: Scalable Black-box Optimization. CoRR abs/2012.08489 (2020)
2010 – 2019
- 2019
- [i3]Valerio Perrone, Iaroslav Shcherbatyi, Rodolphe Jenatton, Cédric Archambeau, Matthias W. Seeger:
Constrained Bayesian Optimization with Max-Value Entropy Search. CoRR abs/1910.07003 (2019) - 2018
- [c4]Wolfgang Maass, Iaroslav Shcherbatyi
:
Inductive Discovery by Machine Learning for Identification of Structural Models. ER 2018: 545-552 - [c3]Nurten Öksüz, Iaroslav Shcherbatyi, Tobias Kowatsch, Wolfgang Maass:
A Data-analytical System to Predict Therapy Success for Obese Children. ICIS 2018 - 2017
- [c2]Wolfgang Maass, Iaroslav Shcherbatyi:
Data-Driven, Statistical Learning Method for Inductive Confirmation of Structural Models. HICSS 2017: 1-10 - 2016
- [c1]Iaroslav Shcherbatyi, Bjoern Andres
Convexification of Learning from Constraints. GCPR 2016: 79-90 - [i2]Iaroslav Shcherbatyi, Bjoern Andres:
Convexification of Learning from Constraints. CoRR abs/1602.06746 (2016) - 2015
- [i1]Iaroslav Shcherbatyi, Andreas Bulling, Mario Fritz:
GazeDPM: Early Integration of Gaze Information in Deformable Part Models. CoRR abs/1505.05753 (2015)
Coauthor Index
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