Iaroslav Shcherbatyi

11 papers A* 1A 1C 1Journal 5Unranked 3

Year	Rank	Type	Title / Venue / Authors
2021	A*	`conf`	Amazon SageMaker Automatic Model Tuning: Scalable Gradient-Free Optimization. KDD 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
2020	J	`jnl`	Amazon SageMaker Automatic Model Tuning: Scalable Black-box Optimization. CoRR 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
2020	—	`conf`	Amazon SageMaker Autopilot: a white box AutoML solution at scale. DEEM@SIGMOD 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
2020	J	`jnl`	Amazon SageMaker Autopilot: a white box AutoML solution at scale. CoRR 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
2019	J	`jnl`	Constrained Bayesian Optimization with Max-Value Entropy Search. CoRR Valerio Perrone, Iaroslav Shcherbatyi, Rodolphe Jenatton, Cédric Archambeau, Matthias W. Seeger
2018	C	`conf`	A Data-analytical System to Predict Therapy Success for Obese Children. ICIS Nurten Öksüz, Iaroslav Shcherbatyi, Tobias Kowatsch, Wolfgang Maass
2018	A	`conf`	Inductive Discovery by Machine Learning for Identification of Structural Models. ER Wolfgang Maass, Iaroslav Shcherbatyi
2017	—	`conf`	Data-Driven, Statistical Learning Method for Inductive Confirmation of Structural Models. HICSS Wolfgang Maass, Iaroslav Shcherbatyi
2016	—	`conf`	Convexification of Learning from Constraints. GCPR Iaroslav Shcherbatyi, Bjoern Andres
2016	J	`jnl`	Convexification of Learning from Constraints. CoRR Iaroslav Shcherbatyi, Bjoern Andres
2015	J	`jnl`	GazeDPM: Early Integration of Gaze Information in Deformable Part Models. CoRR Iaroslav Shcherbatyi, Andreas Bulling, Mario Fritz