Iaroslav Shcherbatyi

According to our database, Iaroslav Shcherbatyi authored at least 10 papers between 2015 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

Amazon SageMaker Automatic Model Tuning: Scalable Gradient-Free Optimization.

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

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020

Amazon SageMaker Automatic Model Tuning: Scalable Black-box Optimization.

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

CoRR, 2020

Amazon SageMaker Autopilot: a white box AutoML solution at scale.

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

CoRR, 2020

Amazon SageMaker Autopilot: a white box AutoML solution at scale.

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

Proceedings of the Fourth Workshop on Data Management for End-To-End Machine Learning, 2020

2019

Constrained Bayesian Optimization with Max-Value Entropy Search.

Valerio Perrone, Iaroslav Shcherbatyi, Rodolphe Jenatton, Cédric Archambeau, Matthias W. Seeger

CoRR, 2019

2018

A Data-analytical System to Predict Therapy Success for Obese Children.

Nurten Öksüz, Iaroslav Shcherbatyi, Tobias Kowatsch, Wolfgang Maass

Proceedings of the International Conference on Information Systems, 2018

Inductive Discovery by Machine Learning for Identification of Structural Models.

Wolfgang Maass, Iaroslav Shcherbatyi

Proceedings of the Conceptual Modeling - 37th International Conference, 2018

2017

Data-Driven, Statistical Learning Method for Inductive Confirmation of Structural Models.

Wolfgang Maass, Iaroslav Shcherbatyi

Proceedings of the 50th Hawaii International Conference on System Sciences, 2017

2016

Convexification of Learning from Constraints.

Iaroslav Shcherbatyi, Bjoern Andres

Proceedings of the Pattern Recognition - 38th German Conference, 2016

2015

GazeDPM: Early Integration of Gaze Information in Deformable Part Models.

Iaroslav Shcherbatyi, Andreas Bulling, Mario Fritz

CoRR, 2015