Arkady Epshteyn

According to our database, Arkady Epshteyn authored at least 10 papers between 2005 and 2022.

Collaborative distances:

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

2022

BERT for Long Documents: A Case Study of Automated ICD Coding.

Arash Afkanpour, Shabir Adeel, Hansenclever Bassani, Arkady Epshteyn, Hongbo Fan, Isaac Jones, Mahan Malihi, Adrian Nauth, Raj Sinha, Sanjana Woonna, Shiva Zamani, Elli Kanal, Mikhail Fomitchev, Donny Cheung

Proceedings of the 13th International Workshop on Health Text Mining and Information Analysis, 2022

2021

A prospective evaluation of AI-augmented epidemiology to forecast COVID-19 in the USA and Japan.

Sercan Ö. Arik, Joel Shor, Rajarishi Sinha, Jinsung Yoon, Joseph R. Ledsam, Long T. Le, Michael W. Dusenberry, Nathanael C. Yoder, Kris Popendorf, Arkady Epshteyn, Johan Euphrosine, Elli Kanal, Isaac Jones, Chun-Liang Li, Beth Luan, Joe Mckenna, Vikas Menon, Shashank Singh, Mimi Sun, Ashwin Sura Ravi, Leyou Zhang, Dario Sava, Kane Cunningham, Hiroki Kayama, Thomas C. Tsai, Daisuke Yoneoka, Shuhei Nomura, Hiroaki Miyata, Tomas Pfister

npj Digit. Medicine, 2021

2020

Interpretable Sequence Learning for COVID-19 Forecasting.

Sercan Ömer Arik, Chun-Liang Li, Jinsung Yoon, Rajarishi Sinha, Arkady Epshteyn, Long T. Le, Vikas Menon, Shashank Singh, Leyou Zhang, Nate Yoder, Martin Nikoltchev, Yash Sonthalia, Hootan Nakhost, Elli Kanal, Tomas Pfister

CoRR, 2020

Interpretable Sequence Learning for Covid-19 Forecasting.

Sercan Ömer Arik, Chun-Liang Li, Jinsung Yoon, Rajarishi Sinha, Arkady Epshteyn, Long T. Le, Vikas Menon, Shashank Singh, Leyou Zhang, Martin Nikoltchev, Yash Sonthalia, Hootan Nakhost, Elli Kanal, Tomas Pfister

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2008

Active reinforcement learning.

Arkady Epshteyn, Adam Vogel, Gerald DeJong

Proceedings of the Machine Learning, 2008

2007

Combining Prior Knowledge and Data: Beyond the Bayesian Framework

Arkady Epshteyn

PhD thesis, 2007

2006

Generative Prior Knowledge for Discriminative Classification.

Arkady Epshteyn, Gerald DeJong

J. Artif. Intell. Res., 2006

Qualitative reinforcement learning.

Arkady Epshteyn, Gerald DeJong

Proceedings of the Machine Learning, 2006

2005

Analytic Models and Empirical Search: A Hybrid Approach to Code Optimization.

Arkady Epshteyn, María Jesús Garzarán, Gerald DeJong, David A. Padua, Gang Ren, Xiaoming Li, Kamen Yotov, Keshav Pingali

Proceedings of the Languages and Compilers for Parallel Computing, 2005

Rotational Prior Knowledge for SVMs.

Arkady Epshteyn, Gerald DeJong

Proceedings of the Machine Learning: ECML 2005, 2005